Mapping the Scientific Landscape of Schizophrenia Genetics (2020-2025): A Bibliometric and Scientometric Study of Global Trends and Collaborations. [PDF]
Brain BehavMikaeili N, Naeim M, Narimani M.
europepmc +1 more source
The Impact of Author Name Ambiguity on Bibliometric Validity. Comment on Ejaz et al. Bibliometric Analysis of Publications on the Omicron Variant from 2020 to 2022 in the Scopus Database Using R and VOSviewer. <i>Int. J. Environ. Res. Public Health</i> 2022, <i>19</i>, 12407. [PDF]
Int J Environ Res Public HealthRhazzar Z, Ennibi K, Touil N.
europepmc +1 more source
Osteonecrosis Research in Orthopedics and Traumatology: A Global Bibliometric Analysis of Publication Trends, Key Contributors, and Thematic Evolution. [PDF]
Orthop SurgPomasonco-Olivas GA +3 more
europepmc +1 more source
Bibliometric Analysis of the 100 Most-cited Publications in Burn Surgery: Analysis of Web of Science Databases. [PDF]
Plast Reconstr Surg Glob OpenSkorochod R, Zontag N, Wolf Y.
europepmc +1 more source
Evolution of interdependent co-authorship and citation networks [PDF]
Scientometrics, 2020 Studies of bibliographic data suggest a strong correlation between the growth of citation networks and their corresponding co-authorship networks. We explore the interdependence between evolving citation and co-authorship networks focused on the publications, by Indian authors, in American Physical Society journals between 1970 and 2013.
Shivakumar Jolad +2 more
exaly +4 more sources
Related searches:
Co-authorship networks: a review of the literature
Aslib Journal of Information Management, 2015Purpose– The purpose of this paper is to attempt to provide a review of the growing literature on co-authorship networks and the research gaps that may be investigated for future studies in this field.Design/methodology/approach– The existing literature on co-authorship networks was identified, evaluated and interpreted.
Sameer Kumar
exaly +2 more sources
On the co-authorship network in evolutionary computation
Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, 2020With increased research achievements in the field of evolutionary computation, accurate identification and analysis of co-authorship characteristics have become more important than before. Therefore, in this study, a co-authorship network was used to analyze the aspects of collaboration in the evolutionary computation field.
Dong-Pil Yu, Yong-Hyuk Kim
openaire +1 more source
Issues in the analysis of co-authorship networks
Quality & Quantity, 2011Scientific collaboration is a complex phenomenon that improves the sharing of competences and the production of new scientific knowledge. Social Network Analysis is often used to describe the scientific collaboration patterns defined by co-authorship relationships.
Domenico De Stefano +2 more
openaire +2 more sources
Predicting Collaborations in Co-authorship Network
2019 14th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP), 2019In this paper, we study the problem of predicting collaborations in co-authorship network. We formulated our task in terms of link prediction problem on weighted co-authorship network, in which authors play the role of nodes, and weighted edges connecting two authors are formed by storing either a number or quality metric of research papers co-authored
Ilya Makarov, Olga Gerasimova
openaire +1 more source
Analysis of Researcher Co-authorship Network
2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops, 2015This work analyzes the co-authorship of science papers published by university teachers, and then constructs are searcher co-authorship network and characterizes the network by some varying quantities: the clustering coefficient, the average degree, diameter, average distance and components.
Jiana Meng, Jun Guo
openaire +1 more source