Name
Abstract | ||
|---|---|---|
In this paper we discuss the problem of how to assess academic productivity based on publication outputs. We are interested in knowing how well a research group in an area of knowledge is doing relatively to a pre-selected set of reference groups, where each group is composed by academics or researchers. To assess academic productivity we adopt a new metric we propose, which we call P-score. We use P-score, citation counts and H-Index to obtain rankings of researchers in Brazil. Experimental results using data from the area of Computer Science show that P-score outperforms citation counts and H-Index when assessed against the official ranking produced by the Brazilian National Research Council (CNPq). This is of our interest for two reasons. First, it suggests that citation-based metrics, despite wide adoption, can be improved upon. Second, contrary to citation-based metrics, the P-score metric does not require access to the content of publications to be computed. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1145/2740908.2741735 | WWW (Companion Volume) |
Keywords | Field | DocType |
Academic productivity, Similarity, Reputation | Data science,Data mining,World Wide Web,Ranking,Computer science,Citation,Reputation | Conference |
Citations | PageRank | References |
4 | 0.43 | 12 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sabir Ribas | 1 | 31 | 3.20 |
| Berthier Ribeiro-Neto | 2 | 1200 | 75.82 |
| Edmundo De Souza e Silva | 3 | 595 | 73.16 |
| Alberto Ueda | 4 | 7 | 2.22 |
| Nivio Ziviani | 5 | 1598 | 154.65 |