Danielle Dean
Impact in
- Orthopedics and Sports Medicine top 10%
- Tendon Structure and Treatment
- Sports injuries and prevention
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- Statistical Methods and Bayesian Inference
Papers in
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- Social Capital and Networks 1
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- Complex Network Analysis Techniques 2
- Opinion Dynamics and Social Influence 2
- Co-authors
- Daniel J. Bauer (4 shared papers)David B. Thordarson (1 shared paper)Mathew Salvaris (2 shared papers)Wee Hyong Tok (2 shared papers)Robert A. Zucker (1 shared paper)Nisha C. Gottfredson (1 shared paper)Michael J. Shanahan (2 shared papers)Veronica T. Cole (2 shared papers)
- Journals
- Psychological Methods (2 papers)Multivariate Behavioral Research (1 paper)Addiction (1 paper)Social Science Research (1 paper)Foot & Ankle International (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Danielle Dean
8 papers receiving 161 citations
Peers
Comparison fields: 5 of 77
- Orthopedics and Sports Medicine 45
- Statistics and Probability 14
- Experimental and Cognitive Psychology 15
- Cell Biology 18
- Health 8
Countries citing papers authored by Danielle Dean
This map shows the geographic impact of Danielle Dean's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Danielle Dean with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Dean more than expected).
Fields of papers citing papers by Danielle Dean
This network shows the impact of papers produced by Danielle Dean. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Danielle Dean. The network helps show where Danielle Dean may publish in the future.
Co-authors
The 12 scholars most cited alongside Danielle Dean, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 52 | |
| 2 | 2012 | 32 | |
| 3 | 2018 | 19 | |
| 4 | 2014 | 16 | |
| 5 | 2013 | 16 | |
| 6 | 2016 | 15 | |
| 7 | 2017 | 8 | |
| 8 | 2018 | 7 | |
| 9 | 2019 | 0 |
About Danielle Dean
Danielle Dean is a scholar working on Sociology and Political Science, Statistical and Nonlinear Physics, Health, General Health Professions and Clinical Psychology, having authored 9 papers that have together received 165 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (2 papers), Opinion Dynamics and Social Influence (2 papers), Child and Adolescent Psychosocial and Emotional Development (1 paper), Retirement, Disability, and Employment (1 paper), Employment and Welfare Studies (1 paper), Early Childhood Education and Development (1 paper), Social Capital and Networks (1 paper) and Foot and Ankle Surgery (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (45 citations), Statistics and Probability (14 citations), Experimental and Cognitive Psychology (15 citations), Cell Biology (18 citations) and Health (8 citations). Danielle Dean has collaborated with scholars based in United States and Italy. Frequent co-authors include Daniel J. Bauer, David B. Thordarson, Mathew Salvaris, Wee Hyong Tok, Robert A. Zucker, Nisha C. Gottfredson, Michael J. Shanahan, Veronica T. Cole, Mitchell J. Prinstein and Richard A. Miech. Their work appears in journals such as Psychological Methods, Multivariate Behavioral Research, Addiction, Social Science Research and Foot & Ankle International.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.