Results 261 to 270 of about 26,352,760 (301)
Some of the next articles are maybe not open access.
Co-authorship networks analysis
2021Sociology is the foundation stone of the contemporary research field of Social Network Analysis. In 1830’s this field was introduced for the first time (Linton, 2004) and this was the beginning of a new area of science. Since then, Social Network Analysis has been in the center of scientists’ concern and much work is being done until today. The goal of
openaire +1 more source
An Analysis of the Determinants of Co-authorship in Economics
The Journal of Economic Education, 1992The results suggest that the probability of co-authorship in economics is shown to be dependent on the authors' field of academic study, the pressure they may feel to publish, their rank in academia, and the quality of the article.
Michael J. Piette, Kevin L. Ross
openaire +1 more source
An Efficient Parallel Optimization for Co-Authorship Network Analysis
2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT), 2017Co-authorship analysis in science and technology partnerships provides a vision of cooperation patterns between individuals and organizations and is still widely used to understand and assess scientific collaboration patterns. This analysis is conducted by means of bibliometry, which is the quantitative study of scientific production. However, with the
Carlos Roberto Valêncio +6 more
openaire +2 more sources
Analysis of Co-authorship Networks
2018Scientific collaboration can be quantitatively studied by analyzing the structure and evolution of co-authorship networks. In this chapter we present a comprehensive overview of research studies focused on empirical analysis of co-authorship networks.
Miloš Savić +2 more
openaire +1 more source
Mapping the field of Bioinformatics with a content and co-authorship analysis
2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012Bioinformatics is a fast-growing interdisciplinary research field that applies advanced computational techniques to biological data. Bibliometrics analysis has recently been adopted to understand the knowledge structure of a research field by citation pattern. In this paper, we explore the knowledge structure of Bioinformatics from the perspective of a
Min Song 0001 +3 more
openaire +1 more source
Analysis of Japanese Information Systems Co-authorship Data
2007 11th International Conference Information Visualization (IV '07), 2007This paper reports a bibliometric analysis of evolving co-author networks. Using 5,009 articles covering the years 1993 to 2005 from Transactions D. (Information Systems) of the Institute of Electronics Information and Communication Engineers (IEICE), we attempt to compare the network characteristics for each year, the co-author network characteristics
Gavin LaRowe +2 more
openaire +1 more source
Analysis of co-authorship in mathematical journals of Math-Net.Ru
Scientific Conference “Scientific Services & Internet”, 2022Problems of co-authorship in mathematical articles were studied on the basis of journals data stored in the All-Russian mathematical portal Math-Net.Ru for the period from 2000 to 2020. The investigation shows that the most articles (more than 59%) are written by a single author, 39% of articles are written by a group from 2 to 4 co-authors.
Ekaterina Aleksandrovna Znamenskaya +2 more
openaire +1 more source
Analysis of the Co-authorship Sub-networks of Italian Academic Researchers
2022The Italian academic community is an interesting case study of emerging collaborations among people that share interest in some topics. In this paper, we select and analyze three different research areas—defined by the Italian law “academic disciplines” (SSDs)—each with different topics and interests: computer engineering, mathematics and economics ...
Carchiolo V. +3 more
openaire +1 more source
Research impact in co-authorship networks: a two-mode analysis
Journal of Informetrics, 2017Abstract In the context of research collaboration and co-authorship, we studied scholars’ scientific achievements and success, based on their collection of shared publications. By means of a novel regression model, which exploits the two-mode structure of co-authorship, we translated paper scientific impact into author professional achievement ...
Dehdarirad, Tahereh, Nasini, Stefano
openaire +3 more sources
Co‐Authorship in Management and Organizational Studies: An Empirical and Network Analysis*
Journal of Management Studies, 2006In recent decades there has been growing interest in the nature and scale of scientific collaboration. Studies into co‐authorship have taken two different approaches. The first one attempts to analyse the reasons why authors collaborate and the consequences of such decision (Laband and Tollison, 2000).
Acedo, F.J. +3 more
openaire +3 more sources

