Michael Gray
Impact in
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- Face and Expression Recognition
- Image Retrieval and Classification Techniques
- Artificial Intelligence top 2%
- Fuzzy Logic and Control Systems
- Neural Networks and Applications
- Anomaly Detection Techniques and Applications
Papers in
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- Ion channel regulation and function 4
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- Neurobiology and Insect Physiology Research 2
- Photoreceptor and optogenetics research 2
- Co-authors
- James M. Keller (1 shared paper)Jorge Golowasch (3 shared papers)Farzan Nadim (1 shared paper)Kathleen A. Pennington (1 shared paper)Laura C. Schulz (1 shared paper)Virginia B. Garcia (1 shared paper)David J. Schulz (1 shared paper)
- Journals
- Autonomic Neuroscience (1 paper)Journal of Neurophysiology (1 paper)eNeuro (1 paper)IEEE Transactions on Systems Man and Cybernetics (1 paper)SPE Hydraulic Fracturing Technology Conference and Exhibition (1 paper)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Michael Gray
6 papers receiving 2.0k citations
Michael Gray's Hit Papers
Peers
Comparison fields: 5 of 167
- Computer Vision and Pattern Recognition 584
- Artificial Intelligence 871
- Media Technology 184
- Signal Processing 195
- Health Information Management 56
Countries citing papers authored by Michael Gray
This map shows the geographic impact of Michael Gray'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 Michael Gray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Gray more than expected).
Fields of papers citing papers by Michael Gray
This network shows the impact of papers produced by Michael Gray. 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 Michael Gray. The network helps show where Michael Gray may publish in the future.
Co-authors
The 7 scholars most cited alongside Michael Gray, 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 | A fuzzy K-nearest neighbor algorithm Hit paper breakdown → | 1985 | 2131 |
| 2 | 2017 | 11 | |
| 3 | 2016 | 10 | |
| 4 | 2017 | 8 | |
| 5 | 2019 | 5 | |
| 6 | 2017 | 2 |
About Michael Gray
Michael Gray is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Sensory Systems, Political Science and International Relations and Cognitive Neuroscience, having authored 6 papers that have together received 2.2k indexed citations. Recurring topics across this work include Ion channel regulation and function (4 papers), Ion Channels and Receptors (2 papers), Neurobiology and Insect Physiology Research (2 papers), Photoreceptor and optogenetics research (2 papers), Fuzzy Logic and Control Systems (1 paper), Legal Systems and Judicial Processes (1 paper), Multi-Criteria Decision Making (1 paper) and Pain Mechanisms and Treatments (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (584 citations), Artificial Intelligence (871 citations), Media Technology (184 citations), Signal Processing (195 citations) and Health Information Management (56 citations). Michael Gray has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include James M. Keller, Jorge Golowasch, Farzan Nadim, Kathleen A. Pennington, Laura C. Schulz, Virginia B. Garcia and David J. Schulz. Their work appears in journals such as Autonomic Neuroscience, Journal of Neurophysiology, eNeuro, IEEE Transactions on Systems Man and Cybernetics and SPE Hydraulic Fracturing Technology Conference and Exhibition.
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.