What do we measure by co-authorships?

By Grit Laudel. 2002

405 citations recorded by the source corpus.

Subfields: Information Systems, Information Systems and Management, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/798490d8b1cb9c14eec1fa73a0d2177589e8bc64

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems

1. Ying Ding
2. Vincent Larivière
3. Yves Gingras
4. Cassidy R. Sugimoto

In Information Systems and Management

1. Vincent Larivière
2. Ying Ding
3. Cassidy R. Sugimoto
4. Ludo Waltman

In Statistics and Probability

1. Vincent Larivière
2. Ying Ding
3. Andrew Tsou
4. Yves Gingras
5. Cassidy R. Sugimoto
6. Ludo Waltman
7. Saif M. Mohammad
8. Philippe Mongeon

Citations in the corpus

• Team size matters: Collaboration and scientific impact since 1900 (2014, background): “Laudel (2002) argued that using coauthorship as a proxy for collaboration is based on the faulty assumption that all coauthors are also collaborators and, conversely, that all those who collaborated were listed as coauthors.”
• Scientific collaboration and endorsement: Network analysis of coauthorship and citation networks (2011, background): “Laudel (2002) conducted an empirical investigation of research collaboration based on 101 semi-structured interviews with research group leaders and members.”