Fresh teams are associated with original and multidisciplinary research
Dados Bibliográficos
| ID | 4690992 |
|---|---|
| Autores | An Zeng (0000-0003-1215-2311, Beijing Normal University), Ying Fan (0000-0002-4147-9594, Beijing Normal University), Zengru Di (0000-0002-5240-298X, Beijing Normal University), Yougui Wang (0000-0002-4261-7637, Beijing Normal University), Shlomo Havlin (0000-0002-9974-5920, Bar-Ilan University, autor correspondente) |
| Ano | 2021 |
| Volume | 5 |
| Fascículo | 10 |
| Páginas | 1314-1322 |
| Data de publicação | 2021-04-05 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Nature Human Behaviour (JOURNAL) |
| Identificadores do periódico | ISSN: 2397-3374 • E-ISSN: 2397-3374 |
| Editora | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1038/s41562-021-01084-x |
| PMID | 33820976 |
| OpenAlex | W3149363172 |
| Idioma | EN |
| Citações recebidas | 20 |
| Referências citadas | 37 |
Creativity · Management · Multidisciplinary approach · Multidisciplinary team · Originality · Social science · Sociology · Teamwork · Big Data and Business Intelligence · Innovation, Sustainability, Human-Machine Systems · Medicine · Nursing · Psychology · scientometrics and bibliometrics research · Social Psychology
Trends of artificial intelligence in breast cancer
The balance between collaborative stability and performance in scientific funding project teams
Repeat collaboration and scientific innovation
Deploying fuzzy analytic hierarchy process and sensitivity analysis to identify and prioritize the barriers faced by early‐career social science researchers during research collaborations
Collaborative content generation on social media platforms
Popper’s probability calculus and the decline of scientific disruptiveness
Interdisciplinary hierarchical diversity driving disruption
Crossing boundaries
Interpretable XGBoost-SHAP machine learning model for identifying scientific breakthroughs
The association between prior knowledge and the disruption of an article
Interdisciplinary research enhances scientists’ career resilience and long-term benefits
The effect of structural holes on producing novel and disruptive research in physics
Higher-order rich-club phenomenon in collaborative research grant networks
Evaluating scientists by citation and disruption of their representative works
Measurement of disruptive innovation and its validity based on improved disruption index
Predicting scholar potential
The science of team science (SciTS)
Data, measurement and empirical methods in the science of science
The effects of remote work on collaboration among information workers
Estimating two key dimensions of cultural transmission from archaeological data
Predicting missing links via local information
ArnetMiner
Evolution of the social network of scientific collaborations
Large teams develop and small teams disrupt science and technology
Interdisciplinary research by the numbers
Mapping world scientific collaboration
Multi-University Research Teams
An Overview of Microsoft Academic Service (MAS) and Applications
Is science becoming more interdisciplinary? Measuring and mapping six research fields over time
Team Assembly Mechanisms Determine Collaboration Network Structure and Team Performance
Reputation and impact in academic careers
Science of science
Atypical Combinations and Scientific Impact
How popular is your paper? An empirical study of the citation distribution
The science of science
Quantifying the evolution of individual scientific impact
The Increasing Dominance of Teams in Production of Knowledge
A general framework for analysing diversity in science, technology and society
The structure of scientific collaboration networks
Collaborative Research in Sociology
Quantifying patterns of research-interest evolution
From Sole Investigator to Team Scientist
| Obras citantes distintas | 20 |
|---|---|
| Citações por ano | 4 |
| Intervalo de citações | 2021 - 2026 (6) |
| Velocidade de citação | current |
| Altamente citado | Não |
| Tipos de citação | Neutras: 20 |