Discovering seminal works with marker papers
Bibliographic Data
| ID | 21442816 |
|---|---|
| Authors | Robin Haunschild (0000-0001-7025-7256, Max Planck Institute for Solid State Research), Werner Marx (0000-0002-1763-5753, Max Planck Institute for Solid State Research) |
| Year | 2020 |
| Volume | 125 |
| Issue | 3 |
| Pages | 2955-2969 |
| Publication date | 2020-12-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Scientometrics (JOURNAL) |
| Journal identifiers | ISSN: 0138-9130 • E-ISSN: 1588-2861 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11192-020-03358-z |
| OpenAlex | W2914672814 |
| Language | EN |
| Citations received | 4 |
| References cited | 24 |
Bibliometric information retrieval in databases can employ different strategies. Commonly, queries are performed by searching in title, abstract and/or author keywords (author vocabulary). More advanced queries employ database keywords to search in a controlled vocabulary. Queries based on search terms can be augmented with their citing papers if a research field cannot be curtailed by the search query alone. Here, we present another strategy to discover the most important papers of a research field. A marker paper is used to reveal the most important works for the relevant community. All papers co-cited with the marker paper are analyzed using reference publication year spectroscopy (RPYS). For demonstration of the marker paper approach, density functional theory is used as a research field. Comparisons between a prior RPYS on a publication set compiled using a keyword-based search in a controlled vocabulary and three different co-citation RPYS analyses show very similar results. Similarities and differences are discussed
Citation · Field (mathematics) · Information retrieval · Keyword search · Linguistics · Set (abstract data type) · Vocabulary · World Wide Web · Computational Drug Discovery Methods · Computer Science · Mathematics · Metabolomics and Mass Spectrometry Studies · Molecular spectroscopy and chirality
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Academic information retrieval using citation clusters
| Unique citing works | 4 |
|---|---|
| Citations per year | 0.67 |
| Citation span | 2020 - 2024 (5) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 4 |