Eric M. Fine

1.4k citations
13 papers · 504 · h-index 11

Impact in

    • Neural and Behavioral Psychology Studies
    • Functional Brain Connectivity Studies
    • Neurobiology of Language and Bilingualism
    • Memory Processes and Influences
    • Dementia and Cognitive Impairment Research

Papers in

Eric M. Fine

13 papers receiving 486 citations

Peers

Eric M. Fine
Comparison fields: 5 of 44
  • Cognitive Neuroscience 208
  • Psychiatry and Mental health 143
  • Neuropsychology and Physiological Psychology 19
  • Neurology 81
  • Experimental and Cognitive Psychology 69
Replace Bradley J. Hallam with:
Bradley J. Hallam Canada
L.-G. Nilsson Sweden
Cristina Trivelli Italy
Charlotte S. M. Schmidt Germany
Laurie M. Rilling United States
Chuh‐Hyoun Lie Germany
Maiya Rachel Geddes Canada
Leonard J. Price United States
Genny Lubrini Spain
Mariel Y. Pullman United States
Eric M. Fine relative to Bradley J. Hallam Canada Bradley J. Hallam's profile →
Citations per field
00.5×2×3.1×
Bradley J. Hallam · 1×
Citations per year

Countries citing papers authored by Eric M. Fine

Since Specialization
Citations

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

Fields of papers citing papers by Eric M. Fine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2005159
2 201398
3 200838
4 201334
5 200833
6 201930
7 200828
8 201226
9 201117
10 200915
11 201015
12 201210
13 20081

About Eric M. Fine

Eric M. Fine is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience, Applied Psychology, Neurology and Cellular and Molecular Neuroscience, having authored 13 papers that have together received 504 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (7 papers), Functional Brain Connectivity Studies (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Psychological Testing and Assessment (2 papers), Neural and Behavioral Psychology Studies (1 paper), Memory Processes and Influences (1 paper), Historical and Modern Theater Studies (1 paper) and Traumatic Brain Injury Research (1 paper). The work is most often cited by research in Cognitive Neuroscience (208 citations), Psychiatry and Mental health (143 citations), Neuropsychology and Physiological Psychology (19 citations), Neurology (81 citations) and Experimental and Cognitive Psychology (69 citations). Eric M. Fine has collaborated with scholars based in United States. Frequent co-authors include Silvia Bunge, Vivek Prabhakaran, Kalina Christoff, John D. E. Gabrieli, Nandakumar S. Narayanan, Dean C. Delis, Joel H. Kramer, Bruce L. Miller, William W. Seeley and Andrew J. Trujillo. Their work appears in journals such as Journal of Clinical and Experimental Neuropsychology, The Clinical Neuropsychologist, Neuropsychology, Current Reviews in Musculoskeletal Medicine and Movement Disorders.

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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