Performance analysis of Civil Engineering Journals based on the Web of Science database

• Autorzy: Zavadskas E. K. , Skibniewski M. J. , Antucheviciene J.

Identyfikatory

DOI

10.1016/j.acme.2014.05.008

• Języki publikacji: EN

Abstrakty

EN

The presented study analyses the development and performance measures of research journals in the field of civil engineering. As the paper was prepared on the occasion of the 20th anniversary since the Journal of Civil Engineering and Management (JCEM) was founded, it presents detailed description of its evolution. This journal is currently ranked in the 12th position worldwide, based on the values of Impact Factors (IF) published by the Thomson Reuter's Institute for Scientific Information (ISI) Web of Knowledge Journal Citation Reports. JCEM entered the first quartile (Q1) of its peer journals based on its worldwide impact in “Engineering, Civil” category of the ISI Web of Science. However, it has been argued that the IF value is not the sole and possibly not the best measure of journal quality. A number of metrics as well as bibliometric indicators have been developed to measure the impact of scholarly journals. The paper proposes an integrated multiple criteria approach for ranking journals. The essence of the approach lies in the ability to rank journals considering several criteria simultaneously and applying Multiple Criteria Decision Making (MCDM) methods to derive the rankings. Journals from the Q1 quartile of the “Engineering, Civil” category of the Web of Science were analyzed based on seven indicators derived from Journal Citation Reports while applying Weighted Aggregated Sum Product Assessment (WASPAS) method. Integrated rankings with the use of this method were then compared with journal rankings based on their ISI Impact Factor values.

Słowa kluczowe

EN

Civil Engineering Journals; Web of Science; ISI Impact Factor; MCDM; WASPAS

PL

czasopismo Inżynieria Lądowa i Wodna; ranking czasopism; indeks cytowań naukowych

• Wydawca: Springer ; Wrocław University of Science and Technology
• Czasopismo: Archives of Civil and Mechanical Engineering
• Rocznik: 2014
• Tom: Vol. 14, no. 4
• Strony: 519--527
• Opis fizyczny: Bibliogr. 29 poz., rys., tab., wykr.

Twórcy

autor

Zavadskas E. K.

• Department of Construction Technology and Management, Vilnius Gediminas Technical University, Saulėtekio al. 11, 10223 Vilnius, Lithuania

autor

Skibniewski M. J.

• Department of Civil & Environmental Engineering, University of Maryland, College Park, MD 20742-3021, USA

autor

Antucheviciene J.

• Department of Construction Technology and Management, Vilnius Gediminas Technical University, Saulėtekio al. 11, 10223 Vilnius, Lithuania

Bibliografia

• [1] A.F.J. van Raan, Measuring science, in: H. Moed, G. Wolfgang, S. Ulrich (Eds.), Handbook of Quantitative Science and Technology Research, Kluwer, Dordrecht, 2004, pp. 19–50.
• [2] J.E. Hirsch, An index to quantify an individual's scientific research output, Proceedings of National Academy of Sciences of the United States of America, Proceedings of the National Academy of Science 102 (46) (2005) 16569–16572.
• [3] L. Egghe, Theory and practise of the g-index, Scientometrics 69 (1) (2006) 131–152.
• [4] E. Garfield, The history and meaning of the journal impact factor, Journal of the American Medical Association 295 (1) (2006) 90–93.
• [5] I. Palacios-Huerta, O. Volij, The measurement of intellectual influence, Econometrica 72 (3) (2004) 963–977.
• [6] N. Ma, J. Guan, Y. Zhao, Bringing Page Rank to the citation analysis, Information Processing and Management 44 (2) (2008) 800–810.
• [7] M.A. Rodriguez, J. Bollen, H. Van De Sompel, Automatic metadata generation using associative networks, ACM Transactions on Information Systems 27 (2) (2009) 1–20.
• [8] C. Bergstrom, Eigenfactor: measuring the value and prestige of scholarly journals, College and Research Libraries News 68 (5) (2007) 314–316.
• [9] B. Gonzalez-Pereira, V.P. Guerrero-Bote, F. Moya-Anegon, A new approach to the metric of journals' scientific prestige: the SJR indicator, Journal of Informetrics 4 (3) (2010) 379–391.
• [10] H. Adeli, Measuring research journals, Computer-Aided Civil and Infrastructure Engineering 22 (1) (2007) 1–5.
• [11] J. Araujo, N.D. Ghiya, A. Calugar, T. Popovic, Analysis of three factors possibly influencing the outcome of a science review process, Accountability in Research Policies and Quality Assurance 21 (4) (2014) 241–264.
• [12] D. Wang, Ch. Song, A.-L. Barabási, Quantifying long-term scientific impact, Science 342 (6154) (2013) 127–132.
• [13] L. Leydesdorff, F. Moya-Anegon, V.P. Guerrero-Bote, Journal maps on the basis of Scopus data: a comparison with the Journal Citation Reports of the ISI, Journal of the American Society for Information Science and Technology 61 (2) (2010) 352–369.
• [14] L. Czarnecki, M.P. Kazmierkowski, A. Rogalski, Doing Hirsch proud; shaping H-index in engineering sciences, Bulletin of the Polish Academy of Sciences, Technical Sciences 61 (1) (2013) 5–21.
• [15] T. Bartol, G. Budimir, D. Dekleva-Smrekar, M. Pusnik, P. Juznic, Assessment of research fields in Scopus and Web of Science in the view of national research evaluation in Slovenia, Scientometrics 98 (2) (2014) 1491–1504.
• [16] J.C.F. de Winter, A.A. Zadpoor, D. Dodou, The expansion of Google Scholar versus Web of Science: a longitudinal study, Scientometrics 98 (2) (2014) 1547–1565.
• [17] G.A. Forgionne, R. Kohli, A multiple criteria assessment of decision technology system journal quality, Information & Management 38 (7) (2001) 421–435.
• [18] R.G. Raj, A.N. Zainab, Relative measure index: a metric to measure the quality of journals, Scientometrics 93 (2) (2012) 305–317.
• [19] J.A. Garcia, R. Rodriguez-Sanchez, J. Fdez-Valdivia, J. Martinez-Baena, On first quartile journals which are not of highest impact, Scientometrics 90 (3) (2012) 925–943.
• [20] T. Koler-Povh, P. Juznic, G. Turk, Impact of open access on citation of scholarly publications in the field of civil engineering, Scientometrics 98 (2) (2014) 1033–1045.
• [21] I. Cañas-Guerrero, F.R. Mazarrón, A. Pou-Merina, C. Calleja- Perucho, M.F. Suárez-Tejero, Analysis of research activity in the field ‘‘Engineering, Civil’’ through bibliometric methods, Engineering Structures 56 (2013) 2273–2286.
• [22] N.K. Paliulis, E. Dagienė, Features, possibilities and problems of academic e-publishing in Lithuania, Business: Theory and Practice 10 (2) (2009) 159–171 (in Lithuanian).
• [23] A. Striogienė, Research journals of Vilnius Gediminas Technical University in 1995–2010, Evolution of Science and Technology 3 (2) (2011) 179–190 (in Lithuanian).
• [24] E.K. Zavadskas, Z. Turskis, J. Antucheviciene, A. Zakarevicius, Optimization of weighted aggregated sum product assessment, Electronics and Electrical Engineering– Elektronika ir Elektrotechnika 6 (122) (2012) 3–6.
• [25] E.K. Zavadskas, J. Antucheviciene, J. Saparauskas, Z. Turskis, MCDM methods WASPAS and MULTIMOORA: verification of robustness of methods when assessing alternative solutions, Economic Computation and Economic Cybernetics Studies and Research 47 (2) (2013) 5–20.
• [26] T. Dėjus, J. Antuchevičienė, Assessment of health and safety solutions at a construction site, Journal of Civil Engineering and Management 19 (5) (2013) 728–737.
• [27] M. Staniūnas, M. Medineckienė, E.K. Zavadskas, D. Kalibatas, To modernize or not: ecological–economical assessment of multi-dwelling houses modernization, Archives of Civil and Mechanical Engineering 13 (1) (2013) 88–98.
• [28] E. Šiožinytė, J. Antuchevičienė, Solving the problems of daylighting and tradition continuity in a reconstructed vernacular building, Journal of Civil Engineering and Management 19 (6) (2013) 873–882.
• [29] S. Hashemkhani Zolfani, M.H. Aghdaie, A. Derakhti, E.K. Zavadskas, M.H. Morshed Varzandeh, Decision making on business issues with foresight perspective; an application of new hybrid MCDM model in shopping mall locating, Expert Systems with Applications 40 (17) (2013) 7111–7121.