Richard T. Linn
- Psychiatry and Mental health top 1%
- Epidemiology top 5%
- Neurology top 2%
- Physiology top 5%
- Cognitive Neuroscience top 5%
- Co-authors
- Michael G. BoyesonJanice E. KnoefelWilliam G. DailHeather MurrayDennis M. FeeneyRalph B. D’AgostinoPhilip A. WolfDavid Bachman
- Topics
- Traumatic Brain Injury Research (9 papers)Stroke Rehabilitation and Recovery (8 papers)Musculoskeletal pain and rehabilitation (8 papers)
- Partner nations
- United StatesAustraliaIndia
In The Last Decade
Richard T. Linn
43 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Psychiatry and Mental health 1.2k
- Epidemiology 786
- Neurology 744
- Physiology 634
- Cognitive Neuroscience 454
Countries citing papers authored by Richard T. Linn
This map shows the geographic impact of Richard T. Linn'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 Richard T. Linn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard T. Linn more than expected).
Fields of papers citing papers by Richard T. Linn
This network shows the impact of papers produced by Richard T. Linn. 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 Richard T. Linn. The network helps show where Richard T. Linn may publish in the future.
Co-authorship network of co-authors of Richard T. Linn
This figure shows the co-authorship network connecting the top 25 collaborators of Richard T. Linn. A scholar is included among the top collaborators of Richard T. Linn based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Richard T. Linn. Richard T. Linn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 58 | |
| 2 | 80 | |
| 3 | 54 | |
| 4 | 16 | |
| 5 | 22 | |
| 6 | 43 | |
| 7 | 39 | |
| 8 | 19 | |
| 9 | 20 | |
| 10 | 89 | |
| 11 | 72 | |
| 12 | Biologic patterns of disability. | 7 |
| 13 | Selecting Modeling Techniques for Outcome Prediction: Comparison of Artificial Neural Networks, Classification and Regression Trees, and Linear Regression Analysis for Predicting Medical Rehabilitation Outcomes | 2 |
| 14 | 80 | |
| 15 | 43 | |
| 16 | 145 | |
| 17 | 347 | |
| 18 | 61 | |
| 19 | 21 | |
| 20 | 148 |
About Richard T. Linn
Richard T. Linn is a scholar working on Rehabilitation, Anatomy and Psychiatry and Mental health, having authored 45 papers that have together received 3.7k indexed citations. Recurring topics across this work include Traumatic Brain Injury Research (9 papers), Stroke Rehabilitation and Recovery (8 papers) and Musculoskeletal pain and rehabilitation (8 papers). The work is most often cited by research in Psychiatry and Mental health (1.2k citations), Neurology (744 citations) and Neurology (349 citations). Richard T. Linn has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Michael G. Boyeson, Janice E. Knoefel, William G. Dail, Heather Murray, Dennis M. Feeney, Ralph B. D’Agostino, Philip A. Wolf, David Bachman, Albert J. Belanger and Carl V. Granger. Their work appears in journals such as Neurology, Stroke and Journal of Consulting and Clinical Psychology.
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.