On interdisciplinary collaborations in scientific coauthorship networks: the case of the Brazilian community
Author:
Funder
FAPEMIG
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Computer Science Applications,General Social Sciences
Link
https://link.springer.com/content/pdf/10.1007/s11192-020-03605-3.pdf
Reference34 articles.
1. Abramo, G., D’Angelo, C. A., & Di Costa, F. (2018). The effect of multidisciplinary collaborations on research diversification. Scientometrics, 116(1), 423–433.
2. de Siqueira, G. O., Canuto, S. D., Gonçalves, M. A., & Laender, A. H. F. (2020). A pragmatic approach to hierarchical categorization of research expertise in the presence of scarce information. International Journal on Digital Libraries, 21(1), 61–73.
3. de Souza Vanz, S. A., & Stumpf, I. R. C. (2012). Scientific output indicators and scientific collaboration network mapping in Brazil. Collnet Journal of Scientometrics and Information Management, 6(2), 315–334.
4. Dias, T. M. R., & Moita, G. F. (2015). A method for the identification of collaboration in large scientific databases. Em Questão, 21(2), 140–161.
5. Freire, V. P., & Figueiredo, D. R. (2011). Ranking in collaboration networks using a group based metric. Journal of the Brazilian Computer Society, 17(4), 255–266.
Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A network-driven study of hyperprolific authors in computer science;Scientometrics;2024-02-29
2. The Evolutionary Characteristics and Interaction of Interdisciplinarity and Scientific Collaboration under the Convergence Paradigm: Analysis in the Field of Materials Genome Engineering;Sustainability;2023-09-07
3. How researchers collaborate across disciplines? Patterns of interdisciplinary collaboration based on a dual-perspective framework;27th International Conference on Science, Technology and Innovation Indicators (STI 2023);2023-05-19
4. Predicting the evolution of scientific communities by interpretable machine learning approaches;Journal of Informetrics;2023-05
5. A Review of Technological Forecasting from the Perspective of Complex Systems;Entropy;2022-06-04
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3