Eric A. Reavis

867 citations
51 papers · 552 · h-index 15

Impact in

    • Functional Brain Connectivity Studies
    • Neural dynamics and brain function
    • Neural and Behavioral Psychology Studies
    • Visual perception and processing mechanisms
    • Schizophrenia research and treatment

Papers in

    • Neural and Behavioral Psychology Studies 20
    • Neural dynamics and brain function 13
    • Functional Brain Connectivity Studies 13
    • Visual perception and processing mechanisms 13
    • Schizophrenia research and treatment 10

Eric A. Reavis

46 papers receiving 548 citations

Peers

Eric A. Reavis
Comparison fields: 5 of 73
  • Cognitive Neuroscience 291
  • Psychiatry and Mental health 134
  • Experimental and Cognitive Psychology 90
  • Biological Psychiatry 11
  • Radiology, Nuclear Medicine and Imaging 73
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Countries citing papers authored by Eric A. Reavis

Since Specialization
Citations

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

Fields of papers citing papers by Eric A. Reavis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric A. Reavis. 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 Eric A. Reavis. The network helps show where Eric A. Reavis may publish in the future.

Co-authors

The 25 scholars most cited alongside Eric A. Reavis, 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 Eric A. Reavis Line = papers co-authored together Eric A. Reavis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201948
2 201644
3 201637
4 201836
5 201330
6 201829
7 201823
8 201521
9 201919
10 201718
11 202117
12 201817
13 202015
14 201315
15 201714
16 201713
17 202013
18 202412
19 201312
20 202312

About Eric A. Reavis

Eric A. Reavis is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health, Experimental and Cognitive Psychology, Social Psychology and General Health Professions, having authored 51 papers that have together received 552 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (20 papers), Neural dynamics and brain function (13 papers), Functional Brain Connectivity Studies (13 papers), Visual perception and processing mechanisms (13 papers), Schizophrenia research and treatment (10 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (5 papers), Mental Health Research Topics (5 papers) and Homelessness and Social Issues (4 papers). The work is most often cited by research in Cognitive Neuroscience (291 citations), Psychiatry and Mental health (134 citations), Experimental and Cognitive Psychology (90 citations), Biological Psychiatry (11 citations) and Radiology, Nuclear Medicine and Imaging (73 citations). Eric A. Reavis has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Michael F. Green, Jonathan K. Wynn, Junghee Lee, Amy M. Jimenez, Peter U. Tse, Stephen A. Engel, Sebastian Frank, Mark W. Greenlee, L. Felice Reddy and Keith H. Nuechterlein. Their work appears in journals such as Schizophrenia Research, Human Brain Mapping, Journal of Psychiatric Research, Cerebral Cortex and Schizophrenia Bulletin.

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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