Name
Title | ||
|---|---|---|
Field-normalized citation impact indicators using algorithmically constructed classification systems of science. |
Abstract | ||
|---|---|---|
•We study algorithmically constructed classification systems for field normalization purposes.•It is argued that working with a few thousand fields may be an optimal choice.•University citation indicators are relatively insensitive to the classification system choice.•For individual universities, this choice may have a substantial effect. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.joi.2014.11.010 | Journal of Informetrics |
Keywords | Field | DocType |
Field normalization,Classification systems,Clustering methodology,Citation impact indicators,University rankings | Data mining,Normalization (statistics),Ranking,Computer science,Homogeneous,Citation impact,Citation,Contrast (statistics),Granularity,Cluster analysis | Journal |
Volume | Issue | ISSN |
9 | 1 | 1751-1577 |
Citations | PageRank | References |
51 | 1.28 | 30 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Javier Ruiz-Castillo | 1 | 366 | 24.81 |
| Ludo Waltman | 2 | 2236 | 105.47 |