Co-citations in context
Disciplinary heterogeneity is relevant
Bibliographic Data
| ID | 21255777 |
|---|---|
| Authors | James R Bradley (0000-0001-8766-6830, William & Mary), Sitaram Devarakonda (0000-0001-7722-756X, NETE (United States)), Avon Davey (0000-0002-1221-9283, NETE (United States)), Dmitriy Korobskiy (0000-0002-7909-0218, NETE (United States)), Christian Loew (0000-0003-4051-2476, NETE (United States)), Djamil Lakhdar-Hamina (0000-0002-8209-093X, NETE (United States)), Tandy Warnow (0000-0001-7717-3514, University of Illinois Urbana-Champaign), George Chacko (0000-0002-2127-1892, NETE (United States)) |
| Year | 2020 |
| Volume | 1 |
| Issue | 1 |
| Pages | 264-276 |
| Publication date | 2020-02-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Quantitative Science Studies (JOURNAL) |
| Journal identifiers | ISSN: 2641-3337 • E-ISSN: 2641-3337 |
| Publisher | MIT Press (PUBLISHER • US) |
| DOI | 10.1162/qss_a_00007 |
| OpenAlex | W2973837020 |
| Language | EN |
| Citations received | 7 |
| References cited | 20 |
Citation analysis of the scientific literature has been used to study and define disciplinary boundaries, to trace the dissemination of knowledge, and to estimate impact. Co-citation, the frequency with which pairs of publications are cited, provides insight into how documents relate to each other and across fields. Co-citation analysis has been used to characterize combinations of prior work as conventional or innovative and to derive features of highly cited publications. Given the organization of science into disciplines, a key question is the sensitivity of such analyses to frame of reference. Our study examines this question using semantically themed citation networks. We observe that trends reported to be true across the scientific literature do not hold for focused citation networks, and we conclude that inferring novelty using co-citation analysis and random graph models benefits from disciplinary context
Citation · Citation analysis · Discipline · Novelty · Scientific literature · Scientific modelling · Biomedical Text Mining and Ontologies · Complex Network Analysis Techniques · scientometrics and bibliometrics research
Visual analysis of scientific research on exercise intervention for mental health among older adults
Novelty and interdisciplinarity in criminology
Aoc
Frequently cocited publications
Are disruption index indicators convergently valid? The comparison of several indicator variants with assessments by peers
Finding scientific communities in citation graphs
ChatGPT in Academic Writing
From Louvain to Leiden
Networks of Scientific Papers
Co‐citation analysis, bibliographic coupling, and direct citation
Bias against novelty in science
Citation Indexes for Science
Atypical Combinations and Scientific Impact
Co‐citation in the scientific literature
On Information and Sufficiency
Bibliometrics
Which Type of Citation Analysis Generates the Most Accurate Taxonomy of Scientific and Technical Knowledge?
The structure of scientific collaboration networks
| Unique citing works | 7 |
|---|---|
| Citations per year | 1.17 |
| Citation span | 2020 - 2025 (6) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 7 |