Quantifying and mapping the evolution of a leader journal in the field of civil engineering
Abstract
Automation in Construction is one of the leading international journals in construction and building dating back to 1992. This study aims to quantify and visualize the evolution of Automation in Construction publications using bibliometric methods. Our work has two parts: 1) publication and citation statistics in terms of annual distributions, citing sources, prolific countries/regions and institutes, and highly cited papers, 2) network and science mapping analyses in terms of co-authorship network, co-citation network and thematic evolution. Two bibliometric software, VOSviewer and SciMAT, are used to help us carry out the analyses. The results suggest that Automation in Construction has obtained increasing influence and reputation from scientific community over the past decades. It is expected that our study has guiding significance for editors and readers of this journal through providing key insights about the evolution over time.
Keyword : Automation in Construction, bibliometric, publications and citations, science mapping analyses, thematic evolution
How to Cite
Tang, M., Liao, H., Yepes, V., Laurinavičius, A., & Tupėnaitė, L. (2021). Quantifying and mapping the evolution of a leader journal in the field of civil engineering. Journal of Civil Engineering and Management, 27(2), 100-116. https://doi.org/10.3846/jcem.2021.14365
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
Boscardin, J. T., Yepes, V., & Kripka, M. (2019). Optimization of reinforced concrete building frames with automated grouping of columns. Automation in Construction, 104, 331–340. https://doi.org/10.1016/j.autcon.2019.04.024
Bornmann, L., & Haunschild, R. (2016). Overlay maps based on Mendeley data: The use of altmetrics for readership networks. Journal of the Association for Information Science and Technology, 67(12), 3064–3072. https://doi.org/10.1002/asi.23569
Canas-Guerrero, I., Mazarron, F. R., Calleja-Perucho, C., PouMerina, A., Calleja-Perucho, C., & Suarez-Tejero, M. F. (2013). Analysis of research activity in the field “Engineering, Civil” through bibliometric methods. Engineering Structures, 56, 2273–2286. https://doi.org/10.1016/j.engstruct.2013.08.038
Canas-Guerrero, I., Mazarron, F. R., Calleja-Perucho, C., & PouMerina, A. (2014). Bibliometric analysis in the international context of the “Construction & Building Technology” category from the Web of Science database. Construction and Building Materials, 53, 13–25. https://doi.org/10.1016/j.conbuildmat.2013.10.098
Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011a). An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field. Journal of Informetrics, 5(1), 146–166. https://doi.org/10.1016/j.joi.2010.10.002
Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011b). Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for Information Science and Technology, 62(7), 1382–1402. https://doi.org/10.1002/asi.21525
Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2012). SciMAT: A new science mapping analysis software tool. Journal of the American Society for Information Science and Technology, 63(8), 1609–1630. https://doi.org/10.1002/asi.22688
Cobo, M. J., Chiclana, F., Collop, A., de Ona, J., & HerreraViedma, E. (2014). A bibliometric analysis of the intelligent transportation systems research based on science mapping. IEEE Transactions on Intelligent Transportation Systems, 15(2), 901–908. https://doi.org/10.1109/TITS.2013.2284756
Dees, A. S. (2015). A bibliometric analysis of the scholarly publications of librarians at the University of Mississippi, 20082013. Journal of Academic Librarianship, 41(3), 241–245. https://doi.org/10.1016/j.acalib.2015.03.019
Derbe, G., Li, Y., Wu, D., & Zhao, Q. (2020). Scientometric review of construction project schedule studies: trends, gaps and potential research areas. Journal of Civil Engineering and Management, 26(4), 343–363. https://doi.org/10.3846/jcem.2020.12317
de Wilde, P. (2014). The gap between predicted and measured energy performance of buildings: A framework for investigation. Automation in Construction, 41, 40–49. https://doi.org/10.1016/j.autcon.2014.02.009
Gu, N., & London, K. (2010). Understanding and facilitating BIM adoption in the AEC industry. Automation in Construction, 19(8), 988–999. https://doi.org/10.1016/j.autcon.2010.09.002
Hartley, J. (2019). Some reflections on being cited 10,000 times. Scientometrics, 118(1), 375–381. https://doi.org/10.1007/s11192-018-2966-5
Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences of the United States of America, 102(46), 16569–16572. https://doi.org/10.1073/pnas.0507655102
Hosseini, M. R., Martek, I., Zavadskas, E. K., Aibinu, A. A., Arashpour, M., & Chileshe, N. (2018). Critical evaluation of offsite construction research: A Scientometric analysis. Automation in Construction, 87, 235–247. https://doi.org/10.1016/j.autcon.2017.12.002
International Organization for Standardization. (2010). Building information modeling – Information delivery manual – Part 1: Methodology and format (ISO 29481-1:2010(E)). Geneva, Switzerland.
Kong, X. J., Shi, Y. J., Yu, S., Liu, J. Y., & Xia, F. (2019). Academic social networks: Modeling, analysis, mining and applications. Journal of Network and Computer Applications, 132, 86–103. https://doi.org/10.1016/j.jnca.2019.01.029
Laengle, S., Lobos, V., Merigó, J. M., Herrera-Viedma, E., Cobo, M. J., & De Baets, B. (2020). Forty years of fuzzy sets and systems: A bibliometric analysis. Fuzzy Sets and Systems, 402, 155–183. https://doi.org/10.1016/j.fss.2020.03.012
Liao, H. C., Tang, M., Li, Z. M., & Lev, B. (2019). Bibliometric analysis for highly cited papers in operations research and management science from 2008 to 2017 based on Essential Science Indicators. Omega, 88, 223–236. https://doi.org/10.1016/j.omega.2018.11.005
Lim, S., Buswell, R. A., Le, T. T., Austin, S. A., Gibb, A. G. F., & Thorpe, T. (2012). Developments in construction-scale additive manufacturing processes. Automation in Construction, 21, 262–268. https://doi.org/10.1016/j.autcon.2011.06.010
Meho, L. I., & Yang, K. (2007). Impact of data sources on citation counts and rankings of LIS faculty: Web of science versus scopus and google scholar. Journal of the American Society for Information Science and Technology, 58(13), 2105–2125. https://doi.org/10.1002/asi.20677
Miranda, R., & Garcia-Carpintero, E. (2018). Overcitation and overrepresentation of review papers in the most cited papers. Journal of Informetrics, 12(4), 1015–1030. https://doi.org/10.1016/j.joi.2018.08.006
Modak, N. M., Merigo, J. M., Weber, R., Manzor, F., & Ortuzar, J. D. (2019). Fifty years of Transportation Research journals: A bibliometric overview. Transportation Research Part A: Policy and Practice, 120, 188–223. https://doi.org/10.1016/j.tra.2018.11.015
Morkūnaitė, Ž., Kalibatas, D., & Kalibatienė, D. (2019). A bibliometric data analysis of multi-criteria decision making methods in heritage buildings. Journal of Civil Engineering and Management, 25(2), 76–99. https://doi.org/10.3846/jcem.2019.8315
Navarro, I. J., Penades-Pla, V., Martinez-Munoz, D., Rempling, R., & Yepes, V. (2020). Life cycle sustainability assessment for multi-critieria decision making in bridge design: A review. Journal of Civil Engineering and Management, 26(7), 690–704. https://doi.org/10.3846/jcem.2020.13599
Ponz-Tienda, J. L., Yepes, V., Pellicer, E., & Moreno-Flores, J. (2013). The Resource Leveling Problem with multiple resources using an adaptive genetic algorithm. Automation in Construction, 29, 161–172. https://doi.org/10.1016/j.autcon.2012.10.003
Rossetto, D. E., Bernardes, R. C., Borini, F. M., & Gattaz, C. C. (2018). Structure and evolution of innovation research in the last 60 years: review and future trends in the field of business through the citations and co-citations analysis. Scientometrics, 115(3), 1329–1363. https://doi.org/10.1007/s11192-018-2709-7
Schlueter, A., & Thesseling, F. (2009). Building information model based energy/exergy performance assessment in early design stages. Automation in Construction, 18(2), 153–163. https://doi.org/10.1016/j.autcon.2008.07.003
Siebert, S., & Teizer, J. (2014). Mobile 3D mapping for surveying earthwork projects using an Unmanned Aerial Vehicle (UAV) system. Automation in Construction, 41, 1–14. https://doi.org/10.1016/j.autcon.2014.01.004
Singh, S., Dhir, S., Das, V. M., & Sharma, A. (2020a). Bibliometric overview of the Technological Forecasting and Social Change journal: Analysis from 1970 to 2018. Technological Forecasting and Social Change, 154, 119963. https://doi.org/10.1016/j.techfore.2020.119963
Singh, V., Verma, S., & Chaurasia, S. S. (2020b). Mapping the themes and intellectual structure of corporate university: cocitation and cluster analyses. Scientometrics, 122(3), 1275–1302. https://doi.org/10.1007/s11192-019-03328-0
Succar, B. (2009). Building information modelling framework: A research and delivery foundation for industry stakeholders. Automation in Construction, 18(3), 357–375. https://doi.org/10.1016/j.autcon.2008.10.003
Tang, P. B., Huber, D., Akinci, B., Lipman, R., & Lytle, A. (2010). Automatic reconstruction of as-built building information models from laser-scanned point clouds: A review of related techniques. Automation in Construction, 19(7), 829–843. https://doi.org/10.1016/j.autcon.2010.06.007
Tang, M., Liao, H. C., & Su, S. F. (2018). A bibliometric overview and visualization of the International Journal of Fuzzy Systems between 2007 and 2017. International Journal of Fuzzy Systems, 20(5), 1403–1422. https://doi.org/10.1007/s40815-018-0484-5
Tang, M., Liao, H. C., & Tamasevicius, V. (2020). 15 years in Web of Science of the Transformations in Business and Economics: bibliometric and visual analyses. Transformations in Business and Economics, 19(1), 21–42.
Uddin, S., & Khan, A. (2016). The impact of author-selected keywords on citation counts. Journal of Informetrics, 10, 1166–1177. https://doi.org/10.1016/j.joi.2016.10.004
Upham, S. P., & Small, H. (2010). Emerging research fronts in science and technology: patterns of new knowledge development. Scientometrics, 83, 15–38. https://doi.org/10.1007/s11192-009-0051-9
van Eck, N., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84, 523–538. https://doi.org/10.1007/s11192-009-0146-3
Vilutiene, T., Hosseini, M. R., Pellicer, E., & Zavadskas, E. K. (2019a). Advanced BIM applications in the construction industry. Advances in Civil Engineering, 2019, 6356107. https://doi.org/10.1155/2019/6356107
Vilutiene, T., Kalibatiene, D., Hosseini, M. R., Pellicer, E., & Zavadskas, E. K. (2019b). Building information modeling (BIM) for structural engineering: A bibliometric analysis of the literature. Advances in Civil Engineering, 2019, 5290690. https://doi.org/10.1155/2019/5290690
Volk, R., Stengel, J., & Schultmann, F. (2014). Building Information Modeling (BIM) for existing buildings – literature review and future needs. Automation in Construction, 38, 109–127. https://doi.org/10.1016/j.autcon.2013.10.023
VOSviewer. (n.d.). https://www.vosviewer.com/
Wang, J. (2013). Citation time window choice for research impact evaluation. Scientometrics, 94, 851–872. https://doi.org/10.1007/s11192-012-0775-9
Wang, C., Lim, M. K., Zhao, L. F., Tseng, M. L., Chien, C. F., & Lev, B. (2020a). The evolution of Omega-The International Journal of Management Science over the past 40 years: A bibliometric overview. Omega, 93, 102098. https://doi.org/10.1016/j.omega.2019.08.005
Wang, X. X., Xu, Z. S., Ge, Z. J., Zavadskas, E. K., & Skačkauskas, P. (2020b). An overview of a leader journal in the field of transport: A bibliometric analysis of “Computer-Aided Civil and Infrastructure Engineering” from 2000 to 2019. Transport, 35(6), 557–575. https://doi.org/10.3846/transport.2020.14140
Xiong, X. H., Adan, A., Akinci, B., & Huber, D. (2013). Automatic creation of semantically rich 3D building models from laser scanner data. Automation in Construction, 31, 325–337. https://doi.org/10.1016/j.autcon.2012.10.006
Yang, L. J., Han, L. X., & Liu, N. X. (2019). A new approach to journal co-citation matrix construction based on the number of co-cited articles in journals. Scientometrics, 120, 507–517. https://doi.org/10.1007/s11192-019-03141-9
Yepes, V., Martí, J. V., & García-Segura, T. (2015). Cost and CO2 emission optimization of precast-prestressed concrete Ubeam road bridges by a hybrid glowworm swarm algorithm. Automation in Construction, 49, 123–134. https://doi.org/10.1016/j.autcon.2014.10.013
Yu, D. J., & Pan, T. X. (2021). Tracing knowledge diffusion of TOPSIS: A historical perspective from citation network. Expert Systems with Applications, 168, 114238. https://doi.org/10.1016/j.eswa.2020.114238
Yu, D. J., & Sheng, L. B. (2020). Knowledge difusion paths of blockchain domain: the main path analysis. Scientometrics, 125, 471–497. https://doi.org/10.1007/s11192-020-03650-y
Yu, D. J., Xu, Z. S., & Antuchevičienė, J. (2019). Bibliometric analysis of the Journal of Civil Engineering and Management between 2008 and 2018. Journal of Civil Engineering and Management, 25(5), 402–410. https://doi.org/10.3846/jcem.2019.9925
Zahedi, Z., & Haustein, S. (2018). On the relationships between bibliographic characteristics of scientific documents and citation and Mendeley readership counts: A large-scale analysis of Web of Science publications. Journal of Informetrics, 12(1), 191–202. https://doi.org/10.1016/j.joi.2017.12.005
Zavadskas, E. K. (2010). Automation and robotics in construction: International research and achievements. Automation in Construction, 19(3), 286–290. https://doi.org/10.1016/j.autcon.2009.12.011
Zhang, S. J., Teizer, J., Lee, J. K., Eastman, C. M., & Venugopal, M. (2013). Building information modeling (BIM) and safety: Automatic safety checking of construction models and schedules. Automation in Construction, 29, 183–195. https://doi.org/10.1016/j.autcon.2012.05.006
Zhou, W., Xu, Z. S., & Zavadskas, E. K. (2019). A bibliometric overview of the International Journal of Strategic Property Management between 2008 and 2019. International Journal of Strategic Property Management, 23(6), 366–377. https://doi.org/10.3846/ijspm.2019.10535
Zhou, W., Xu, Z. S., Zavadskas, E. K., & Laurinavičius, A. (2020). The knowledge domain of the Baltic Journal of Road and Bridge Engineering between 2006 and 2019. The Baltic Journal of Road and Bridge Engineering, 15(2), 1–30. https://doi.org/10.7250/bjrbe.2020-15.470
Bornmann, L., & Haunschild, R. (2016). Overlay maps based on Mendeley data: The use of altmetrics for readership networks. Journal of the Association for Information Science and Technology, 67(12), 3064–3072. https://doi.org/10.1002/asi.23569
Canas-Guerrero, I., Mazarron, F. R., Calleja-Perucho, C., PouMerina, A., Calleja-Perucho, C., & Suarez-Tejero, M. F. (2013). Analysis of research activity in the field “Engineering, Civil” through bibliometric methods. Engineering Structures, 56, 2273–2286. https://doi.org/10.1016/j.engstruct.2013.08.038
Canas-Guerrero, I., Mazarron, F. R., Calleja-Perucho, C., & PouMerina, A. (2014). Bibliometric analysis in the international context of the “Construction & Building Technology” category from the Web of Science database. Construction and Building Materials, 53, 13–25. https://doi.org/10.1016/j.conbuildmat.2013.10.098
Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011a). An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field. Journal of Informetrics, 5(1), 146–166. https://doi.org/10.1016/j.joi.2010.10.002
Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011b). Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for Information Science and Technology, 62(7), 1382–1402. https://doi.org/10.1002/asi.21525
Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2012). SciMAT: A new science mapping analysis software tool. Journal of the American Society for Information Science and Technology, 63(8), 1609–1630. https://doi.org/10.1002/asi.22688
Cobo, M. J., Chiclana, F., Collop, A., de Ona, J., & HerreraViedma, E. (2014). A bibliometric analysis of the intelligent transportation systems research based on science mapping. IEEE Transactions on Intelligent Transportation Systems, 15(2), 901–908. https://doi.org/10.1109/TITS.2013.2284756
Dees, A. S. (2015). A bibliometric analysis of the scholarly publications of librarians at the University of Mississippi, 20082013. Journal of Academic Librarianship, 41(3), 241–245. https://doi.org/10.1016/j.acalib.2015.03.019
Derbe, G., Li, Y., Wu, D., & Zhao, Q. (2020). Scientometric review of construction project schedule studies: trends, gaps and potential research areas. Journal of Civil Engineering and Management, 26(4), 343–363. https://doi.org/10.3846/jcem.2020.12317
de Wilde, P. (2014). The gap between predicted and measured energy performance of buildings: A framework for investigation. Automation in Construction, 41, 40–49. https://doi.org/10.1016/j.autcon.2014.02.009
Gu, N., & London, K. (2010). Understanding and facilitating BIM adoption in the AEC industry. Automation in Construction, 19(8), 988–999. https://doi.org/10.1016/j.autcon.2010.09.002
Hartley, J. (2019). Some reflections on being cited 10,000 times. Scientometrics, 118(1), 375–381. https://doi.org/10.1007/s11192-018-2966-5
Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences of the United States of America, 102(46), 16569–16572. https://doi.org/10.1073/pnas.0507655102
Hosseini, M. R., Martek, I., Zavadskas, E. K., Aibinu, A. A., Arashpour, M., & Chileshe, N. (2018). Critical evaluation of offsite construction research: A Scientometric analysis. Automation in Construction, 87, 235–247. https://doi.org/10.1016/j.autcon.2017.12.002
International Organization for Standardization. (2010). Building information modeling – Information delivery manual – Part 1: Methodology and format (ISO 29481-1:2010(E)). Geneva, Switzerland.
Kong, X. J., Shi, Y. J., Yu, S., Liu, J. Y., & Xia, F. (2019). Academic social networks: Modeling, analysis, mining and applications. Journal of Network and Computer Applications, 132, 86–103. https://doi.org/10.1016/j.jnca.2019.01.029
Laengle, S., Lobos, V., Merigó, J. M., Herrera-Viedma, E., Cobo, M. J., & De Baets, B. (2020). Forty years of fuzzy sets and systems: A bibliometric analysis. Fuzzy Sets and Systems, 402, 155–183. https://doi.org/10.1016/j.fss.2020.03.012
Liao, H. C., Tang, M., Li, Z. M., & Lev, B. (2019). Bibliometric analysis for highly cited papers in operations research and management science from 2008 to 2017 based on Essential Science Indicators. Omega, 88, 223–236. https://doi.org/10.1016/j.omega.2018.11.005
Lim, S., Buswell, R. A., Le, T. T., Austin, S. A., Gibb, A. G. F., & Thorpe, T. (2012). Developments in construction-scale additive manufacturing processes. Automation in Construction, 21, 262–268. https://doi.org/10.1016/j.autcon.2011.06.010
Meho, L. I., & Yang, K. (2007). Impact of data sources on citation counts and rankings of LIS faculty: Web of science versus scopus and google scholar. Journal of the American Society for Information Science and Technology, 58(13), 2105–2125. https://doi.org/10.1002/asi.20677
Miranda, R., & Garcia-Carpintero, E. (2018). Overcitation and overrepresentation of review papers in the most cited papers. Journal of Informetrics, 12(4), 1015–1030. https://doi.org/10.1016/j.joi.2018.08.006
Modak, N. M., Merigo, J. M., Weber, R., Manzor, F., & Ortuzar, J. D. (2019). Fifty years of Transportation Research journals: A bibliometric overview. Transportation Research Part A: Policy and Practice, 120, 188–223. https://doi.org/10.1016/j.tra.2018.11.015
Morkūnaitė, Ž., Kalibatas, D., & Kalibatienė, D. (2019). A bibliometric data analysis of multi-criteria decision making methods in heritage buildings. Journal of Civil Engineering and Management, 25(2), 76–99. https://doi.org/10.3846/jcem.2019.8315
Navarro, I. J., Penades-Pla, V., Martinez-Munoz, D., Rempling, R., & Yepes, V. (2020). Life cycle sustainability assessment for multi-critieria decision making in bridge design: A review. Journal of Civil Engineering and Management, 26(7), 690–704. https://doi.org/10.3846/jcem.2020.13599
Ponz-Tienda, J. L., Yepes, V., Pellicer, E., & Moreno-Flores, J. (2013). The Resource Leveling Problem with multiple resources using an adaptive genetic algorithm. Automation in Construction, 29, 161–172. https://doi.org/10.1016/j.autcon.2012.10.003
Rossetto, D. E., Bernardes, R. C., Borini, F. M., & Gattaz, C. C. (2018). Structure and evolution of innovation research in the last 60 years: review and future trends in the field of business through the citations and co-citations analysis. Scientometrics, 115(3), 1329–1363. https://doi.org/10.1007/s11192-018-2709-7
Schlueter, A., & Thesseling, F. (2009). Building information model based energy/exergy performance assessment in early design stages. Automation in Construction, 18(2), 153–163. https://doi.org/10.1016/j.autcon.2008.07.003
Siebert, S., & Teizer, J. (2014). Mobile 3D mapping for surveying earthwork projects using an Unmanned Aerial Vehicle (UAV) system. Automation in Construction, 41, 1–14. https://doi.org/10.1016/j.autcon.2014.01.004
Singh, S., Dhir, S., Das, V. M., & Sharma, A. (2020a). Bibliometric overview of the Technological Forecasting and Social Change journal: Analysis from 1970 to 2018. Technological Forecasting and Social Change, 154, 119963. https://doi.org/10.1016/j.techfore.2020.119963
Singh, V., Verma, S., & Chaurasia, S. S. (2020b). Mapping the themes and intellectual structure of corporate university: cocitation and cluster analyses. Scientometrics, 122(3), 1275–1302. https://doi.org/10.1007/s11192-019-03328-0
Succar, B. (2009). Building information modelling framework: A research and delivery foundation for industry stakeholders. Automation in Construction, 18(3), 357–375. https://doi.org/10.1016/j.autcon.2008.10.003
Tang, P. B., Huber, D., Akinci, B., Lipman, R., & Lytle, A. (2010). Automatic reconstruction of as-built building information models from laser-scanned point clouds: A review of related techniques. Automation in Construction, 19(7), 829–843. https://doi.org/10.1016/j.autcon.2010.06.007
Tang, M., Liao, H. C., & Su, S. F. (2018). A bibliometric overview and visualization of the International Journal of Fuzzy Systems between 2007 and 2017. International Journal of Fuzzy Systems, 20(5), 1403–1422. https://doi.org/10.1007/s40815-018-0484-5
Tang, M., Liao, H. C., & Tamasevicius, V. (2020). 15 years in Web of Science of the Transformations in Business and Economics: bibliometric and visual analyses. Transformations in Business and Economics, 19(1), 21–42.
Uddin, S., & Khan, A. (2016). The impact of author-selected keywords on citation counts. Journal of Informetrics, 10, 1166–1177. https://doi.org/10.1016/j.joi.2016.10.004
Upham, S. P., & Small, H. (2010). Emerging research fronts in science and technology: patterns of new knowledge development. Scientometrics, 83, 15–38. https://doi.org/10.1007/s11192-009-0051-9
van Eck, N., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84, 523–538. https://doi.org/10.1007/s11192-009-0146-3
Vilutiene, T., Hosseini, M. R., Pellicer, E., & Zavadskas, E. K. (2019a). Advanced BIM applications in the construction industry. Advances in Civil Engineering, 2019, 6356107. https://doi.org/10.1155/2019/6356107
Vilutiene, T., Kalibatiene, D., Hosseini, M. R., Pellicer, E., & Zavadskas, E. K. (2019b). Building information modeling (BIM) for structural engineering: A bibliometric analysis of the literature. Advances in Civil Engineering, 2019, 5290690. https://doi.org/10.1155/2019/5290690
Volk, R., Stengel, J., & Schultmann, F. (2014). Building Information Modeling (BIM) for existing buildings – literature review and future needs. Automation in Construction, 38, 109–127. https://doi.org/10.1016/j.autcon.2013.10.023
VOSviewer. (n.d.). https://www.vosviewer.com/
Wang, J. (2013). Citation time window choice for research impact evaluation. Scientometrics, 94, 851–872. https://doi.org/10.1007/s11192-012-0775-9
Wang, C., Lim, M. K., Zhao, L. F., Tseng, M. L., Chien, C. F., & Lev, B. (2020a). The evolution of Omega-The International Journal of Management Science over the past 40 years: A bibliometric overview. Omega, 93, 102098. https://doi.org/10.1016/j.omega.2019.08.005
Wang, X. X., Xu, Z. S., Ge, Z. J., Zavadskas, E. K., & Skačkauskas, P. (2020b). An overview of a leader journal in the field of transport: A bibliometric analysis of “Computer-Aided Civil and Infrastructure Engineering” from 2000 to 2019. Transport, 35(6), 557–575. https://doi.org/10.3846/transport.2020.14140
Xiong, X. H., Adan, A., Akinci, B., & Huber, D. (2013). Automatic creation of semantically rich 3D building models from laser scanner data. Automation in Construction, 31, 325–337. https://doi.org/10.1016/j.autcon.2012.10.006
Yang, L. J., Han, L. X., & Liu, N. X. (2019). A new approach to journal co-citation matrix construction based on the number of co-cited articles in journals. Scientometrics, 120, 507–517. https://doi.org/10.1007/s11192-019-03141-9
Yepes, V., Martí, J. V., & García-Segura, T. (2015). Cost and CO2 emission optimization of precast-prestressed concrete Ubeam road bridges by a hybrid glowworm swarm algorithm. Automation in Construction, 49, 123–134. https://doi.org/10.1016/j.autcon.2014.10.013
Yu, D. J., & Pan, T. X. (2021). Tracing knowledge diffusion of TOPSIS: A historical perspective from citation network. Expert Systems with Applications, 168, 114238. https://doi.org/10.1016/j.eswa.2020.114238
Yu, D. J., & Sheng, L. B. (2020). Knowledge difusion paths of blockchain domain: the main path analysis. Scientometrics, 125, 471–497. https://doi.org/10.1007/s11192-020-03650-y
Yu, D. J., Xu, Z. S., & Antuchevičienė, J. (2019). Bibliometric analysis of the Journal of Civil Engineering and Management between 2008 and 2018. Journal of Civil Engineering and Management, 25(5), 402–410. https://doi.org/10.3846/jcem.2019.9925
Zahedi, Z., & Haustein, S. (2018). On the relationships between bibliographic characteristics of scientific documents and citation and Mendeley readership counts: A large-scale analysis of Web of Science publications. Journal of Informetrics, 12(1), 191–202. https://doi.org/10.1016/j.joi.2017.12.005
Zavadskas, E. K. (2010). Automation and robotics in construction: International research and achievements. Automation in Construction, 19(3), 286–290. https://doi.org/10.1016/j.autcon.2009.12.011
Zhang, S. J., Teizer, J., Lee, J. K., Eastman, C. M., & Venugopal, M. (2013). Building information modeling (BIM) and safety: Automatic safety checking of construction models and schedules. Automation in Construction, 29, 183–195. https://doi.org/10.1016/j.autcon.2012.05.006
Zhou, W., Xu, Z. S., & Zavadskas, E. K. (2019). A bibliometric overview of the International Journal of Strategic Property Management between 2008 and 2019. International Journal of Strategic Property Management, 23(6), 366–377. https://doi.org/10.3846/ijspm.2019.10535
Zhou, W., Xu, Z. S., Zavadskas, E. K., & Laurinavičius, A. (2020). The knowledge domain of the Baltic Journal of Road and Bridge Engineering between 2006 and 2019. The Baltic Journal of Road and Bridge Engineering, 15(2), 1–30. https://doi.org/10.7250/bjrbe.2020-15.470