Name
Abstract | ||
|---|---|---|
In the Essential Science Indicators (Thomson Reuters), a research front exists to the h index (entitled “GOOGLE SCHOLAR H-INDEX; SCIENCE CITATION INDEX; GENERALIZED HIRSCH H-INDEX; H INDEX; GOOGLE SCHOLAR CITATIONS”) consisting of a group of highly cited papers. We used HistCite to analyze the structure and relationships of the 45 papers forming the h index research front. Since we were interested in the topics of research on the h index at the front, we classified each paper according to its main topic. Six topics (inductively generated) were sufficient to classify the 45 papers: (1) citation database, (2) empirical validation study, (3) new application, (4) theoretical analysis, (5) new index development, and (6) literature review. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1016/j.joi.2011.11.001 | Journal of Informetrics |
Keywords | Field | DocType |
h index,Research front,HistCite | Data science,Science Citation Index,Data mining,Information retrieval,Computer science,Citation,Essential science indicators | Journal |
Volume | Issue | ISSN |
6 | 2 | 1751-1577 |
Citations | PageRank | References |
4 | 0.53 | 23 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| lutz bornmann | 1 | 3124 | 279.75 |
| Werner Marx | 2 | 333 | 26.42 |