Forrest C. Sheldon
Impact in
- Psychiatry and Mental health top 5%
- Dementia and Cognitive Impairment Research
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
Papers in
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- Theoretical and Computational Physics 2
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- Neural Networks and Reservoir Computing 3
- Co-authors
- Jeffrey R. Petrella (2 shared papers)Pudugramam Murali Doraiswamy (2 shared papers)Vince D. Calhoun (2 shared papers)Steven E. Prince (1 shared paper)Kingshuk Roy Choudhury (1 shared paper)R. Edward Coleman (1 shared paper)Alzheimer’s Disease Neuroimaging Initiative (1 shared paper)Massimiliano Di Ventra (5 shared papers)
- Journals
- Physical review. E (3 papers)Physical Review Letters (2 papers)Neurology (1 paper)Nature Communications (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Forrest C. Sheldon
13 papers receiving 567 citations
Peers
Comparison fields: 5 of 57
- Psychiatry and Mental health 292
- Cognitive Neuroscience 163
- Physiology 42
- Electrical and Electronic Engineering 85
- Radiology, Nuclear Medicine and Imaging 33
Countries citing papers authored by Forrest C. Sheldon
This map shows the geographic impact of Forrest C. 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 C. 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 C. Sheldon more than expected).
Fields of papers citing papers by Forrest C. Sheldon
This network shows the impact of papers produced by Forrest C. 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 C. Sheldon. The network helps show where Forrest C. Sheldon may publish in the future.
Co-authors
The 19 scholars most cited alongside Forrest C. 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 | 249 | |
| 2 | 2012 | 211 | |
| 3 | 2018 | 24 | |
| 4 | 2021 | 22 | |
| 5 | 2019 | 19 | |
| 6 | 2017 | 18 | |
| 7 | 2024 | 16 | |
| 8 | 2019 | 8 | |
| 9 | 2022 | 8 | |
| 10 | 2017 | 2 | |
| 11 | 2021 | 2 | |
| 12 | 2020 | 1 | |
| 13 | 2020 | 1 | |
| 14 | 2023 | 0 |
About Forrest C. Sheldon
Forrest C. Sheldon is a scholar working on Condensed Matter Physics, Artificial Intelligence, Electrical and Electronic Engineering, Computational Theory and Mathematics and Psychiatry and Mental health, having authored 14 papers that have together received 581 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (7 papers), Neural Networks and Reservoir Computing (3 papers), Dementia and Cognitive Impairment Research (2 papers), Theoretical and Computational Physics (2 papers), Cellular Automata and Applications (1 paper), stochastic dynamics and bifurcation (1 paper), Superconducting and THz Device Technology (1 paper) and Complexity and Algorithms in Graphs (1 paper). The work is most often cited by research in Psychiatry and Mental health (292 citations), Cognitive Neuroscience (163 citations), Physiology (42 citations), Electrical and Electronic Engineering (85 citations) and Radiology, Nuclear Medicine and Imaging (33 citations). Forrest C. Sheldon has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Jeffrey R. Petrella, Pudugramam Murali Doraiswamy, Vince D. Calhoun, Steven E. Prince, Kingshuk Roy Choudhury, R. Edward Coleman, Alzheimer’s Disease Neuroimaging Initiative, Massimiliano Di Ventra, Fabio L. Traversa and Francesco Caravelli. Their work appears in journals such as Physical review. E, Physical Review Letters, Neurology, Nature Communications and IEEE Transactions on Neural Networks and Learning Systems.
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.