Scholarly event characteristics in four fields of science: a metrics-based analysis

作者: Said Fathalla , Sahar Vahdati , Christoph Lange , Sören Auer

DOI: 10.1007/S11192-020-03391-Y

关键词:

摘要: One of the key channels scholarly knowledge exchange are events such as conferences, workshops, symposiums, etc.; especially important and popular in Computer Science, Engineering, Natural Sciences. However, scholars encounter problems finding relevant information about upcoming statistics on their historic evolution. In order to obtain a better understanding event characteristics four fields science, we analyzed metadata major namely Physics, Mathematics using Scholarly Events Quality Assessment suite, suite ten metrics. In particular, renowned belonging five sub-fields within World Wide Web, Vision, Software Data Management, well Security Privacy. This analysis is based systematic approach descriptive exploratory data analysis. The findings one hand interesting observe general evolution success factors events; other hand, they allow (prospective) organizers, publishers, committee members assess progress over time compare it same field; finally, help researchers make more informed decisions when selecting suitable venues for presenting work. Based these findings, set recommendations has been concluded different stakeholders, involving potential authors, proceedings sponsors. Our comprehensive dataset aforementioned openly available semantic format maintained collaboratively at OpenResearch.org.

参考文章(30)
Wendy L. Martinez, Angel R. Martinez, Exploratory Data Analysis with MATLAB ,(2004)
Mary Lee Smith, Gene V. Glass, Barry McGaw, Meta-analysis in social research Sage Publications. ,(1981)
Georgina Guilera, Maite Barrios, Juana Gómez-Benito, Meta-analysis in psychology: a bibliometric study Scientometrics. ,vol. 94, pp. 943- 954 ,(2013) , 10.1007/S11192-012-0761-2
Borja González-Pereira, Vicente P. Guerrero-Bote, Félix Moya-Anegón, A new approach to the metric of journals’ scientific prestige: The SJR indicator Journal of Informetrics. ,vol. 4, pp. 379- 391 ,(2010) , 10.1016/J.JOI.2010.03.002
David Aumüller, Erhard Rahm, Affiliation analysis of database publications ACM SIGMOD Record. ,vol. 40, pp. 26- 31 ,(2011) , 10.1145/2007206.2007214
Tom J. Ameloot, Maarten Marx, Wim Martens, Frank Neven, Justin Van Wees, 30 Years of PODS in facts and figures international conference on management of data. ,vol. 40, pp. 54- 60 ,(2011) , 10.1145/2070736.2070749
Larry V. Hedges, Advances in statistical methods for meta-analysis New Directions for Program Evaluation. ,vol. 1984, pp. 25- 42 ,(1984) , 10.1002/EV.1376
Mario A. Nascimento, Jörg Sander, Jeffrey Pound, Analysis of SIGMOD's co-authorship graph international conference on management of data. ,vol. 32, pp. 8- 10 ,(2003) , 10.1145/945721.945722
Senator Jeong, Hong-Gee Kim, None, Intellectual structure of biomedical informatics reflected in scholarly events Scientometrics. ,vol. 85, pp. 541- 551 ,(2010) , 10.1007/S11192-010-0166-Z