The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Analysing Scientific Networks Through Co-Authorship
Abstract
Co-authorship is one of the most tangible and well documented forms of scientific collaboration. Almost every aspect of scientific collaboration networks can be reliably tracked by analysing co-authorship networks by bibliometric methods. In the present study, scientific collaboration is considered both at individual and national levels, with special focus given to multinational collaborations. Both literature data and original results witnessed a dramatic quantitative and structural change in the last decades of the 20th century. The changes, to great extent, can be attributed to the universal tendencies of globalisation and the political restructuring of Europe. The standards and, particularly, the visibility of scientific research, as a rule, benefit from the ever increasing level of collaboration, but the profits do not come automatically. This fact underlines the necessity of a regular quantitative monitoring of inputs and outcomes, i.e., bibliometric surveys. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Cites
The structure of scientific collaboration networks
Newman, M. E. J. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.404 · Cited by 4,482
Price, D. J. D. S. (1963) · Columbia University Press eBooks · doi:10.7312/pric91844 · Cited by 4,264
Federation Proceedings: Water and Electrolyte Losses in Cholera
Phillips, R. A. (2009) · Nutrition Reviews · doi:10.1111/j.1753-4887.1982.tb05283.x · Cited by 3,934
What is research collaboration?
Katz, J. S., & Martin, B. R. (1997) · Research Policy · doi:10.1016/s0048-7333(96)00917-1 · Cited by 2,972
Evolution of the social network of scientific collaborations
Barabási, A. L., Jeong, H., Néda, Z., Ravasz, E., Schubert, A., & Vicsek, T. (2002) · Physica A: Statistical Mechanics and its Applications · doi:10.1016/s0378-4371(02)00736-7 · Cited by 1,972
Self-citationCoauthorship networks and patterns of scientific collaboration
Newman, M. E. J. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0307545100 · Cited by 1,931
Emergence of a Triple Helix of university—industry—government relations
(1996) · Science and Public Policy · doi:10.1093/spp/23.5.279 · Cited by 944
Collaboration in an invisible college.
De Solla Price, D. J., & Beaver, D. (1966) · American Psychologist · doi:10.1037/h0024051 · Cited by 782
National characteristics in international scientific co-authorship relations
Glänzel, W. (2001) · Scientometrics · doi:10.1023/a:1010512628145 · Cited by 713
Self-citationUnderstanding Patterns of International Scientific Collaboration
Luukkonen, T., Persson, O., & Sivertsen, G. (1992) · Science, Technology, & Human Values · doi:10.1177/016224399201700106 · Cited by 573
Cited by
bibliometrix: An R-tool for comprehensive science mapping analysis
Aria, M., & Cuccurullo, C. (2017) · Journal of Informetrics · doi:10.1016/j.joi.2017.08.007 · Cited by 16,064
Global trends in infectious diseases of swine
VanderWaal, K., & Deen, J. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1806068115 · Cited by 328
The effect of scholar collaboration on impact and quality of academic papers
Franceschet, M., & Costantini, A. (2010) · Journal of Informetrics · doi:10.1016/j.joi.2010.06.003 · Cited by 288
Xia, F., Wang, W., Bekele, T. M., & Liu, H. (2017) · IEEE Transactions on Big Data · doi:10.1109/tbdata.2016.2641460 · Cited by 266
Koseoglu, M. A. (2016) · BRQ Business Research Quarterly · doi:10.1016/j.brq.2016.02.001 · Cited by 242
Metadata
- Authors
- Glänzel, W., & Schubert, A.
- Venue
- Handbook of Quantitative Science and Technology Research
- Publisher
- Kluwer Academic Publishers
- Published
- 2006-02-20
- Pages
- 257-276
- OpenAlex
- W189804332
- Cited by
- 818
- References
- 35
- FWCI
- 66.04
- Type
- book chapter
- Language
- en
- Open access
- closed
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
