Gregory Handy
Impact in
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- Neural dynamics and brain function
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
Papers in
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- Neural dynamics and brain function 8
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- Neuroscience and Neuropharmacology Research 4
- Co-authors
- Gilles Blanchard (3 shared papers)Alla Borisyuk (5 shared papers)Brent Doiron (5 shared papers)Marek Flaska (2 shared papers)Clayton Scott (1 shared paper)Sara A. Pozzi (2 shared papers)John A. White (2 shared papers)Hillel Adesnik (2 shared papers)
- Journals
- PLoS Computational Biology (2 papers)Nature Communications (2 papers)Electronic Journal of Statistics (1 paper)Journal of Theoretical Biology (1 paper)Nature Neuroscience (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Gregory Handy
14 papers receiving 220 citations
Peers
Comparison fields: 5 of 58
- Cognitive Neuroscience 87
- Cellular and Molecular Neuroscience 76
- Neurology 24
- Sensory Systems 14
- Artificial Intelligence 69
Countries citing papers authored by Gregory Handy
This map shows the geographic impact of Gregory Handy'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 Gregory Handy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory Handy more than expected).
Fields of papers citing papers by Gregory Handy
This network shows the impact of papers produced by Gregory Handy. 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 Gregory Handy. The network helps show where Gregory Handy may publish in the future.
Co-authors
The 19 scholars most cited alongside Gregory Handy, 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 | 2013 | 53 | |
| 2 | 2022 | 30 | |
| 3 | 2017 | 28 | |
| 4 | Classification with asymmetric label noise: Consistency and maximal denoising | 2013 | 25 |
| 5 | 2024 | 20 | |
| 6 | 2021 | 19 | |
| 7 | 2017 | 17 | |
| 8 | 2023 | 9 | |
| 9 | 2021 | 6 | |
| 10 | 2019 | 6 | |
| 11 | 2018 | 5 | |
| 12 | 2024 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2016 | 2 | |
| 15 | 2012 | 1 |
About Gregory Handy
Gregory Handy is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 15 papers that have together received 228 indexed citations. Recurring topics across this work include Neural dynamics and brain function (8 papers), Neuroscience and Neuropharmacology Research (4 papers), Machine Learning and Data Classification (3 papers), Diffusion and Search Dynamics (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Lipid Membrane Structure and Behavior (2 papers), Imbalanced Data Classification Techniques (2 papers) and Machine Learning and Algorithms (2 papers). The work is most often cited by research in Cognitive Neuroscience (87 citations), Cellular and Molecular Neuroscience (76 citations), Neurology (24 citations), Sensory Systems (14 citations) and Artificial Intelligence (69 citations). Gregory Handy has collaborated with scholars based in United States and Germany. Frequent co-authors include Gilles Blanchard, Alla Borisyuk, Brent Doiron, Marek Flaska, Clayton Scott, Sara A. Pozzi, John A. White, Hillel Adesnik, Sean D. Lawley and Julia Veit. Their work appears in journals such as PLoS Computational Biology, Nature Communications, Electronic Journal of Statistics, Journal of Theoretical Biology and Nature Neuroscience.
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.