Name
Abstract | ||
|---|---|---|
Summary In the present study full-text analysis and traditional bibliometric methods are combined to improve the efficiency of the individual methods in the mapping of science. The methodology is applied to map research papers from a special issue of Scientometrics. The outcomes substantiate that such hybrid methodology can be applied to both research evaluation and information retrieval. The subject classification given by the guest-editors of the special issue is used for validation purposes. Because of the limited number of papers underlying the study the paper is considered a pilot study that will be extended in a later study on the basis of a larger corpus. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/s11192-005-0208-0 | Scientometrics |
Keywords | Field | DocType |
Pilot Study,Information Retrieval,Research Paper,Subject Classification,Research Evaluation | Data mining,Text mining,Information mapping,Computer science,Information extraction,Scientometrics | Journal |
Volume | Issue | ISSN |
63 | 1 | 0138-9130 |
Citations | PageRank | References |
23 | 1.23 | 33 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Patrick Glenisson | 1 | 145 | 9.99 |
| Wolfgang Glänzel | 2 | 4130 | 534.50 |
| Olle Persson | 3 | 417 | 31.10 |