Forrest Sheldon
Impact in
- Psychiatry and Mental health top 5%
- Dementia and Cognitive Impairment Research
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
Papers in
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- Neural dynamics and brain function 7
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- Advanced Memory and Neural Computing 7
- Ferroelectric and Negative Capacitance Devices 1
- Co-authors
- Vince D. Calhoun (2 shared papers)Jeffrey R. Petrella (2 shared papers)P. Murali Doraiswamy (2 shared papers)Steven E. Prince (1 shared paper)Kingshuk Roy Choudhury (1 shared paper)R. Edward Coleman (1 shared paper)Massimiliano Di Ventra (2 shared papers)Fabio L. Traversa (2 shared papers)
- Journals
- Physical review. E (3 papers)Radiology (1 paper)Physical Review Letters (1 paper)Neurology (1 paper)Science Advances (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Forrest Sheldon
10 papers receiving 511 citations
Peers
Comparison fields: 5 of 72
- Psychiatry and Mental health 187
- Cognitive Neuroscience 253
- Physiology 126
- Radiology, Nuclear Medicine and Imaging 110
- Neurology 33
Countries citing papers authored by Forrest Sheldon
This map shows the geographic impact of Forrest Sheldon'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 Forrest Sheldon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Forrest Sheldon more than expected).
Fields of papers citing papers by Forrest Sheldon
This network shows the impact of papers produced by Forrest Sheldon. 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 Forrest Sheldon. The network helps show where Forrest Sheldon may publish in the future.
Co-authors
The 15 scholars most cited alongside Forrest Sheldon, 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 | 2011 | 245 | |
| 2 | 2012 | 200 | |
| 3 | 2021 | 21 | |
| 4 | 2019 | 15 | |
| 5 | 2024 | 14 | |
| 6 | 2017 | 14 | |
| 7 | 2022 | 8 | |
| 8 | 2021 | 2 | |
| 9 | 2020 | 1 | |
| 10 | 2020 | 1 | |
| 11 | 2023 | 0 |
About Forrest Sheldon
Forrest Sheldon is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering, Artificial Intelligence, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 11 papers that have together received 521 indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), Advanced Memory and Neural Computing (7 papers), Neural Networks and Reservoir Computing (4 papers), stochastic dynamics and bifurcation (2 papers), Ferroelectric and Negative Capacitance Devices (1 paper), Nonlinear Dynamics and Pattern Formation (1 paper), Quantum Computing Algorithms and Architecture (1 paper) and Evolution and Genetic Dynamics (1 paper). The work is most often cited by research in Psychiatry and Mental health (187 citations), Cognitive Neuroscience (253 citations), Physiology (126 citations), Radiology, Nuclear Medicine and Imaging (110 citations) and Neurology (33 citations). Forrest Sheldon has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Vince D. Calhoun, Jeffrey R. Petrella, P. Murali Doraiswamy, Steven E. Prince, Kingshuk Roy Choudhury, R. Edward Coleman, Massimiliano Di Ventra, Fabio L. Traversa, Francesco Caravelli and Alpha Renner. Their work appears in journals such as Physical review. E, Radiology, Physical Review Letters, Neurology and Science Advances.
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.