Creating a collection of publications categorized by their research guarantors into the Scopus ASJC scheme
Bibliographic Data
| ID | 12624400 |
|---|---|
| Authors | Jesús M Álvarez-Llorente (0000-0002-4901-3457, Universidad de Extremadura, corresponding author), Vicente P Guerrero‐bote (0000-0003-4821-9768, Universidad de Extremadura), Félix De Moya Anegón (0000-0002-0255-8628, SCImago Research Group) |
| Year | 2023 |
| Publication date | 2023-12-29 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | El Profesional de la Informacion (JOURNAL) |
| Journal identifiers | ISSN: 1386-6710 • E-ISSN: 1699-2407 |
| Publisher | Ediciones Profesionales de la Informacion SL (PUBLISHER) |
| DOI | 10.3145/epi.2023.dic.04 |
| OpenAlex | W4390410512 |
| Language | EN |
| Citations received | 1 |
| References cited | 21 |
Given the need in Scientometrics to get beyond merely classifying scientific production based on the classification of the journals in which it is published, there have been many attempts to classify papers directly. Little has been done, however, to check how reliable the results are. In this work, a collection of publications was generated which we call an Author’s Assignation Collection (AAC) comprising 13449 papers referenced in the Scopus database and classified by their research guarantor with fractional weighting in terms of Scopus’s own ASJC scheme. The methodological approach taken is described, and the collection’s representativeness is evaluated and compared with the journal-based classification. There stand out both the great number of papers assigned by their research guarantors to more than one category (at times with even the same weight) and how frequently authors assigned categories which were not assigned to the journals in which their paper was published
Classification scheme · Information retrieval · Library science · Political science · Representativeness heuristic · Scientometrics · Scopus · Statistics · Weighting · Advanced Text Analysis Techniques · Computer Science · Law · Mathematics · scientometrics and bibliometrics research · Web visibility and informetrics
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Practical method to reclassify Web of Science articles into unique subject categories and broad disciplines
Graphical interface of the SCImago Journal and Country Rank
| Unique citing works | 1 |
|---|---|
| Citations per year | 0.5 |
| Citation span | 2024 - 2024 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |