Global bibliometric analysis of Building Information Modeling through the Web of Science Core Collection (2003-2017)

  1. Rojas-Sola, J. I. 1
  2. Aguilera-García, Á. I. 2
  1. 1 Departamento de Ingeniería Gráfica, Diseño y Proyectos, Universidad de Jaén
  2. 2 Departamento de Informática, Universidad de Jaén
Revista:
Informes de la construcción

ISSN: 0020-0883

Año de publicación: 2020

Volumen: 72

Número: 557

Tipo: Artículo

DOI: 10.3989/IC.66768 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Informes de la construcción

Resumen

El principal objetivo es realizar un análisis cuantitativo y cualitativo desde el punto de vista institucional de la investigación relacionada con BIM presente en la colección principal de la Web of Science durante el período 2003-2017. Para ello, fueron revisados los registros del tipo ‘artículo’ o ‘revisión’ y se analizaron diferentes indicadores bibliométricos. La difusión internacional de investigación de los 16 países más productivos fue analizada, indicando las revistas de publicación de cada país, así como las principales revistas. Asimismo, EE.UU. es el país más productivo, aunque con un factor de impacto relativo algo mayor que la media debido a la dispersión de sus publicaciones en revistas de medio y bajo impacto, y la Universidad de Curtin (Australia) y el Instituto de Tecnología de Georgia (EE.UU.) son las instituciones más productivas y con alto impacto, sobresaliendo también la Universidad Politécnica de Hong Kong.

Referencias bibliográficas

  • (1) Bryde, D., Broquetas, M. and Volm, J.M. (2013). The project benefits of Building Information Modelling (BIM). International Journal of Project Management, 31: 971-980. https://doi.org/10.1016/j.ijproman.2012.12.001
  • (2) Martinez, M.L., Carretero, A., Sanz, J.D. and Alvarez, P. (2018). Patrimonial assessment model of a singular element: The dome of the Higher Technical School of Industrial Engineers. Informes de la Construccion, 70: e254. https://doi.org/10.3989/id.58049
  • (3) Alvarez, M., Raposo, J.F., Miranda, M. and Bello, A.B. (2018). D-3 urban virtual models generation methodology for Smart cities. Informes de la Construccion, 70: e237. https://doi.org/10.3989/id.56528
  • (4) Wong, P.F., Salleh, H. and Rahim, F.A.M. (2015). A Relationship Framework for Building Information Modeling (BIM) Capability in Quantity Surveying Practice and Project Performance. Informes de la Construccion, 67: e119. https://doi.org/10.3989/ic.15.007
  • (5) Eastman, C.M. (1975). The use of computers instead of drawings in building design. The American Institute of Architects Journal, 63: 46-50.
  • (6) Nederveen, G.A. van and F.P. Tolman. (1992). Modelling multiple views on buildings. Automation in Construction, 1: 46-50. https://doi.org/10.1016/0926-5805(92)90014-B
  • (7) Tolman, F.P. (1999). Product modeling standards for the building and construction industry: past, present and future. Automation in Construction, 8: 227-235. https://doi.org/10.1016/S0926-5805(98)00073-9
  • (8) Eastman, C., Teicholz, P., Sacks, R. and Liston, K. (2008). BIM handbook: A guide to Building Information Modeling for owners, managers, designers, engineers and contractors. 2nd. ed. Hoboken (NJ), USA: John Wiley & Sons, Inc. https://doi.org/10.1002/9780470261309
  • (9) Rojas-Sola, J.I., Jorda-Albinana, B. and Criado-Herrero, E. (2009). Bibliometric analysis of Latin American, Spanish and Portuguese scientific publications in the subject 'Materials Science, Ceramics' in JCR (SCI) database (1997-2008). Boletin de la Sociedad Espanola de Ceramica y Vidrio, 48: 297-310.
  • (10) Rojas-Sola, J.I. and San-Antonio-Gómez, C. (2010). Bibliometric analysis of Spanish scientific publications in the subject 'Construction & Building Technology' in Web of Science database (1997-2008). Materiales de Construccion, 60: 143-149. https://doi.org/10.3989/mc.2010.59810
  • (11) Rojas-Sola, J.I. and Aguilera-García, A.I. (2015). Global bibliometric analysis of the 'Mining and Mineral Processing' subject category from the Web of Science (1997-2012). Mineral Processing and Extractive Metallurgy Review, 36: 349- 369. https://doi.org/10.1080/08827508.2015.1019068
  • (12) Whitehouse, G.H. (2001). Citation rates and impact factors: should they matter?. British Journal of Radiology, 74: 1-3. https://doi.org/10.1259/bjr.74.877.740001 PMid:11227769
  • (13) Baldock, C., Ma, R.M.S. and Orton, C.G. (2009). The h index is the best measure of a scientist's research productivity. Medical Physics, 36: 1043-1045. https://doi.org/10.1118/1.3089421 PMid:19472608
  • (14) Davis, P.M. (2008). Eigenfactor: Does the principle of repeated improvement result in better estimates than raw citation counts?. Journal of the American Society for Information Science and Technology, 59: 2186-2188. https://doi.org/10.1002/asi.20943
  • (15) Garfield, E. (1994). The impact factor. Current Content, 20: 3-7.
  • (16) Garfield, E. (1996). Fortnightly review: how can impact factors be improved?. British Medical Journal, 313: 411-413. https://doi.org/10.1136/bmj.313.7054.411 PMid:8761234 PMCid:PMC2351785
  • (17) Amin, M. and Mabe, M.A. (2003). Impact factors: use and abuse. Medicina-Buenos Aires, 63: 347-354.
  • (18) Sorli-Rojo, A. Mochón-Bezares, G. (2013). La revista 'Materiales de Construcción', 2003-2012: A bibliometric analysis. Materiales de Construcción, 63(312): 613-621. https://doi.org/10.3989/mc.2013.07513
  • (19) Sorli-Rojo, A. Mochón-Bezares, G. (2014). "Informes de la Construcción'': A bibliometric analysis (2007-2013). Informes de la Construcción, 66(536): e041. https://doi.org/10.3989/ic.14.108
  • (20) Rocha, P. and Rodrigues, R.C. (2017). Bibliometric review of improvements in building maintenance. Journal of Quality in Maintenance Engineering, 23: 437-456. https://doi.org/10.1108/JQME-07-2016-0030
  • (21) Sang, P.D., Ma, T.T. and J.Q. Zhang. (2013). Bibliometric Analysis on BIM Research in China. In: Proceedings of 2nd International Conference on Civil Engineering, Architecture and Sustainable Infrastructure (ICCEASI 2013), Zhengzhou, China.
  • (22) Machado, F.A., Ruschel, R.C. and Scheer, S. (2017). Analysing Brazilian scientific production on Building Information Modeling. Ambiente Construido, 17: 359-384. https://doi.org/10.1590/s1678-86212017000400202
  • (23) Li, X., Wu, P., Shen, G.Q.P., Wang, X.Y. and Y. Teng. (2017). Mapping the knowledge domains of Building Information Modeling (BIM): A bibliometric approach. Automation in Construction, 84: 195-206. https://doi.org/10.1016/j.autcon.2017.09.011
  • (24) Zhao, X. (2017). A scientometric review of global BIM research: Analysis and visualization. Automation in Construction, 80: 37-47. https://doi.org/10.1016/j.autcon.2017.04.002
  • (25) Santos, R., Costa, A.A. and Grilo, A. (2017). Bibliometric analysis and review of Building Information Modelling literature published between 2005 and 2015. Automation in Construction, 80: 118-136. https://doi.org/10.1016/j.autcon.2017.03.005
  • (26) Oraee, M., Hosseini, M.R., Papadonikolaki, E., Palliyaguru, R. and Arashpour, M. (2017). Collaboration in BIM-based construction networks: A bibliometric-qualitative literature review. International Journal of Project Management, 35: 1288-1301. https://doi.org/10.1016/j.ijproman.2017.07.001
  • (27) He, Q.H., Wang, G., Luo, L., Shi, Q., Xie, J.X. and Meng, X.H. (2017). Mapping the managerial areas of Building Information Modeling (BIM) using scientometric analysis. International Journal of Project Management, 35: 670-685. https://doi.org/10.1016/j.ijproman.2016.08.001
  • (28) Olawumi, T.O., Chan, D.W.M. and Wong, J.K.W. (2017). Evolution in the intellectual structure of BIM research: A bibliometric analysis. Journal of Civil Engineering and Management, 23: 1060-1081. https://doi.org/10.3846/13923730.2017.1374301
  • (29) Moed, H.F., DeBruin, R.E. and Leeuwen, T.N. van (1995). New bibliometric tools for the assessment of national research performance: Database description, overview of indicators and first application. Scientometrics, 33: 381-422. https://doi.org/10.1007/BF02017338
  • (30) Raan, A. van (1999). Advanced bibliometric methods for the evaluation of Universities. Scientometrics, 45: 417-423. https://doi.org/10.1007/BF02457601
  • (31) Waheed, A.A. (2001). Scientists turn to journals in English. Scientific World Journal, 1: 239-240. https://doi.org/10.1100/tsw.2001.57 PMid:12806094 PMCid:PMC6084119
Fuente de los datos: Dialnet