Name
Abstract | ||
|---|---|---|
The academic world utterly relies on the concept of scientific collaboration. As in every collaborative network, however, the production of research articles follows hidden co-authoring principles as well as temporal dynamics which generate latent and complex collaboration patterns. In this paper, we present an online advanced tool for real-time rankings of computer scientists under these perspectives. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-46131-1_11 | Lecture Notes in Artificial Intelligence |
Keywords | Field | DocType |
Bibliometrics,Collaboration patterns,Authors ranking | Data science,Ranking,Computer science,Pattern analysis,Bibliometrics,Collaborative network | Conference |
Volume | ISSN | Citations |
9853 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mario Cataldi | 1 | 92 | 11.91 |
| Luigi Di Caro | 2 | 195 | 35.21 |
| Claudio Schifanella | 3 | 133 | 22.21 |