Jay McClelland
Impact in
- Virology top 5%
- HIV Research and Treatment
Papers in
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- Autism Spectrum Disorder Research 1
- Memory Processes and Influences 1
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- Child and Adolescent Psychosocial and Emotional Development 1
- Co-authors
- Bradley S. Peterson (1 shared paper)Jerome Kagan (1 shared paper)Jonathan D. Cohen (1 shared paper)David G. Amaral (1 shared paper)George Bush (1 shared paper)Lauren B. Alloy (1 shared paper)David A. Lewis (1 shared paper)Wayne C. Drevets (1 shared paper)
- Journals
- Cognitive Science (3 papers)Biological Psychiatry (1 paper)eScholarship (California Digital Library) (1 paper)Journal of clinical and experimental neuropsychology (1 paper)
- Partner nations
- United States
In The Last Decade
Jay McClelland
6 papers receiving 454 citations
Peers
Comparison fields: 5 of 76
- Virology 99
- Biological Psychiatry 20
- Behavioral Neuroscience 26
- Psychiatry and Mental health 96
- Cognitive Neuroscience 126
Countries citing papers authored by Jay McClelland
This map shows the geographic impact of Jay McClelland'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 Jay McClelland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay McClelland more than expected).
Fields of papers citing papers by Jay McClelland
This network shows the impact of papers produced by Jay McClelland. 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 Jay McClelland. The network helps show where Jay McClelland may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay McClelland, 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 | 2002 | 308 | |
| 2 | 1990 | 164 | |
| 3 | Can a Recurrent Neural Network Learn to Count Things | 2018 | 3 |
| 4 | A computational model of learning to count in a multimodal, interactive environment. | 2020 | 2 |
| 5 | Can Generic Neural Networks Estimate Numerosity Like Humans | 2018 | 2 |
| 6 | Cognitive Neuroscience: What does it tell us about high-order cognition? | 2004 | 1 |
About Jay McClelland
Jay McClelland is a scholar working on Cognitive Neuroscience, Clinical Psychology, Behavioral Neuroscience, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 6 papers that have together received 480 indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (1 paper), Attention Deficit Hyperactivity Disorder (1 paper), Intelligent Tutoring Systems and Adaptive Learning (1 paper), Psychosomatic Disorders and Their Treatments (1 paper), Child and Adolescent Psychosocial and Emotional Development (1 paper), Memory Processes and Influences (1 paper), Mental Health Research Topics (1 paper) and Cognitive and developmental aspects of mathematical skills (1 paper). The work is most often cited by research in Virology (99 citations), Biological Psychiatry (20 citations), Behavioral Neuroscience (26 citations), Psychiatry and Mental health (96 citations) and Cognitive Neuroscience (126 citations). Jay McClelland has collaborated with scholars based in United States. Frequent co-authors include Bradley S. Peterson, Jerome Kagan, Jonathan D. Cohen, David G. Amaral, George Bush, Lauren B. Alloy, David A. Lewis, Wayne C. Drevets, Martha J. Farah and Richard J. Davidson. Their work appears in journals such as Cognitive Science, Biological Psychiatry, eScholarship (California Digital Library) and Journal of clinical and experimental neuropsychology.
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.