Rethinking the disruption index as a measure of scientific and technological advances
Bibliographic Data
| ID | 21401886 |
|---|---|
| Authors | Xuanmin Ruan (Nanjing University), Dongqing Lyu (0000-0002-2720-8421, Nanjing University), Kaile Gong (0000-0001-9269-8669, Nanjing Normal University), Ying Cheng (0000-0001-7732-9806, Nanjing University), Jiang Li (0009-0003-8355-9941, Nanjing University, corresponding author) |
| Year | 2021 |
| Volume | 172 |
| Pages | 121071 |
| Publication date | 2021-11-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Technological Forecasting and Social Change (JOURNAL) |
| Journal identifiers | ISSN: 0040-1625 • E-ISSN: 1873-5509 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.techfore.2021.121071 |
| OpenAlex | W3187218587 |
| Language | EN |
| Citations received | 20 |
| References cited | 21 |
Citation · Citation analysis · Citation index · Data mining · Data science · Index (typography) · Library science · Measure (data warehouse) · Novelty · Science Citation Index · Scientometrics · Social science · Social Sciences Citation Index · Sociology · World Wide Web · Computer Science · Psychology · scientometrics and bibliometrics research · Social Psychology
Hot streaks and disruptiveness in the career of scientists
Integrating semantic clustering and citation analysis to construct a topic citation network for characterizing scholars’ contributions
A construction and empirical research of the journal disruption index based on open citation data
The impact of team compositions on disruptive and novel research in large-scale research infrastructures
Mapping product development trajectories
What do we know about the disruption index in scientometrics? An overview of the literature
Impact of interdisciplinarity on disruptive innovation
Does science disrupt technology? Examining science intensity, novelty, and recency through patent-paper citations in the pharmaceutical field
Authenticity or self-advocacy? Identifying the credibility of positive words in scientific titles and abstracts
A temporal evolution and fine-grained information aggregation model for citation count prediction
The association between prior knowledge and the disruption of an article
Interdisciplinary research enhances scientists’ career resilience and long-term benefits
Rescaling the disruption index reveals the universality of disruption distributions in science
Utilizing large model for content-based identification of disruptive and developmental research
Evaluating scientists by citation and disruption of their representative works
Measurement of disruptive innovation and its validity based on improved disruption index
Specification uncertainty
Predicting scholar potential
The disruption index is biased by citation inflation
Co-utilizing global big science facilities
Applied Logistic Regression Analysis
Google Scholar, Web of Science, and Scopus
Which factors help authors produce the highest impact research? Collaboration, journal and document properties
Google Scholar to overshadow them all? Comparing the sizes of 12 academic search engines and bibliographic databases
Large teams develop and small teams disrupt science and technology
Factors affecting number of citations
Bias against novelty in science
Atypical Combinations and Scientific Impact
Disruptive papers published in Scientometrics
A multidimensional framework for characterizing the citation impact of scientific publications
Are disruption index indicators convergently valid? The comparison of several indicator variants with assessments by peers
Disruption index depends on length of citation window
Tradition and Innovation in Scientists' Research Strategies
| Unique citing works | 20 |
|---|---|
| Citations per year | 6.67 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 20 |