Bibliometric studies of research collaboration
A review
Bibliographic Data
| ID | 23362001 |
|---|---|
| Authors | Krishna Subramanyam (Drexel University, corresponding author) |
| Year | 1983 |
| Volume | 6 |
| Issue | 1 |
| Pages | 33-38 |
| Publication date | 1983-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Information Science (JOURNAL) |
| Journal identifiers | ISSN: 0165-5515 • E-ISSN: 1741-6485 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/016555158300600105 |
| OpenAlex | W2106488040 |
| Language | EN |
| Citations received | 61 |
| References cited | 15 |
Scientific research is becoming an increasingly collaborative endeavour. The nature and magnitude of collaboration vary from one discipline to another, and depend upon such factors as the nature of the research problem, the research environ ment, and demographic factors. Earlier studies have shown a high degree of correlation between collaboration and research productivity, and between collaboration and financial support for research. The extent of collaboration cannot be easily determined by traditional methods of survey and observation. Bibliometric methods offer a convenient and non-reactive tool for studying collaboration in research. In this paper, several types of collaboration have been identified, and earlier research on collaboration has been reviewed. Further research is needed to refine the methods of defining and assessing collaboration and its impact on the organization of research and communica tion in science.
Bibliometrics · Data science · Knowledge management · Library science · Productivity · Computer Science · scientometrics and bibliometrics research
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| Unique citing works | 61 |
|---|---|
| Citations per year | 1,97 |
| Citation span | 1995 - 2026 (32) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 55 |