Thomas E. Hazy

1.5k citations
14 papers · 993 · h-index 12

Impact in

Papers in

    • Neural and Behavioral Psychology Studies 9
    • Neural dynamics and brain function 7
    • Memory and Neural Mechanisms 6
    • Functional Brain Connectivity Studies 5
    • Receptor Mechanisms and Signaling 2
    • Biomedical Text Mining and Ontologies 1

Thomas E. Hazy

14 papers receiving 934 citations

Peers

Thomas E. Hazy
Comparison fields: 5 of 76
  • Cognitive Neuroscience 777
  • Experimental and Cognitive Psychology 163
  • General Decision Sciences 23
  • Cellular and Molecular Neuroscience 146
  • Applied Psychology 30
Replace Erika Nyhus with:
Erika Nyhus United States
Sara Jahfari Netherlands
Arul Thangavel United States
Mark S. Gilzenrat United States
Archy O. de Berker United Kingdom
Seth Herd United States
David L. Barack United States
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Kamila Śmigasiewicz Germany
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Citations per field
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Citations per year

Countries citing papers authored by Thomas E. Hazy

Since Specialization
Citations

This map shows the geographic impact of Thomas E. Hazy'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 Thomas E. Hazy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas E. Hazy more than expected).

Fields of papers citing papers by Thomas E. Hazy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas E. Hazy. 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 Thomas E. Hazy. The network helps show where Thomas E. Hazy may publish in the future.

Co-authors

The 12 scholars most cited alongside Thomas E. Hazy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thomas E. Hazy Line = papers co-authored together Thomas E. Hazy links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2007339
2 2005262
3 201193
4 200790
5 200979
6
The Leabra Cognitive Architecture: How to Play 20 Principles with Nature and Win!
201229
7 201126
8 201320
9 202016
10 201315
11 202111
12 201511
13 20111
14 20231

About Thomas E. Hazy

Thomas E. Hazy is a scholar working on Cognitive Neuroscience, Molecular Biology, Cellular and Molecular Neuroscience, Artificial Intelligence and Developmental and Educational Psychology, having authored 14 papers that have together received 993 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (9 papers), Neural dynamics and brain function (7 papers), Memory and Neural Mechanisms (6 papers), Functional Brain Connectivity Studies (5 papers), Receptor Mechanisms and Signaling (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Cognitive Science and Mapping (2 papers) and Biomedical Text Mining and Ontologies (1 paper). The work is most often cited by research in Cognitive Neuroscience (777 citations), Experimental and Cognitive Psychology (163 citations), General Decision Sciences (23 citations), Cellular and Molecular Neuroscience (146 citations) and Applied Psychology (30 citations). Thomas E. Hazy has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Michael J. Frank, Randall C. O’Reilly, Seth Herd, Christopher H. Chatham, Akira Miyake, Naomi P. Friedman, Wolfgang M. Pauli, Tsung-Ren Huang, Anjali Krishnan and Tor D. Wager. Their work appears in journals such as Journal of Cognitive Neuroscience, Computational Intelligence and Neuroscience, Frontiers in Human Neuroscience, Psychological Review and 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.

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