Name
Abstract | ||
|---|---|---|
Author ranking indices, like h-index and its variants, fail to resolve ties while ranking authors with low index values (major volume including the young ones). In this work we leverage the citations as well as collaboration profile of an author in a novel way using a weighted multi-layered network and propose a page-rank variant to obtain a new author performance measure, C3-index. Experiments on a massive publication dataset reveal several interesting characteristics of our metric: (i) we observe that C3-index is consistent over time, (ii) C3-index has high potential to break ties among low rank authors, (iii) C3-index can be used to predict future achievers at the early stage of their career. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1145/2908131.2908185 | WebSci |
Keywords | Field | DocType |
Author Ranking, Citation Network, h-index | Data science,Leverage (finance),Ranking,Computer science,Citation network | Conference |
Volume | Citations | PageRank |
abs/1604.02363 | 1 | 0.35 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dinesh Pradhan | 1 | 1 | 0.35 |
| Partha Sarathi Paul | 2 | 31 | 5.95 |
| Umesh Maheswari | 3 | 1 | 0.35 |
| Subrata Nandi | 4 | 71 | 21.37 |
| Tanmoy Chakraborty | 5 | 466 | 76.71 |