Eric LaPresto

2k citations
23 papers · 1.6k · h-index 16

Impact in

Papers in

Eric LaPresto

22 papers receiving 1.6k citations

Peers

Eric LaPresto
Comparison fields: 5 of 63
  • Psychiatry and Mental health 633
  • Cognitive Neuroscience 690
  • Neurology 97
  • Cellular and Molecular Neuroscience 146
  • Neurology 123
Replace Kazuo Hashikawa with:
Kazuo Hashikawa Japan
Dennis D. Spencer United States
Jarod L. Roland United States
Sophie Colnat‐Coulbois France
Eric M. Vikingstad United States
Takeshi Satow Japan
H. Henningsen Germany
Michel F. Levesque United States
Rosolino Camarda Italy
George H. Klem United States
Eric LaPresto relative to Kazuo Hashikawa Japan Kazuo Hashikawa's profile →
Citations per field
00.5×2×2.6×
Kazuo Hashikawa · 1×
Citations per year

Countries citing papers authored by Eric LaPresto

Since Specialization
Citations

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

Fields of papers citing papers by Eric LaPresto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004551
2 2006264
3 2003157
4 2011115
5 2000104
6 200876
7
The mind's eye: functional MR imaging evaluation of golf motor imagery.
200374
8 200451
9 200346
10 200737
11 201033
12 200529
13 200427
14 200926
15 201023
16 200018
17 19999
18 19984
19 19962
20
The clinical utility of 3D reconstructed MRI in patients with cortical dysplasia
19991

About Eric LaPresto

Eric LaPresto is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Neurology and Developmental and Educational Psychology, having authored 23 papers that have together received 1.6k indexed citations. Recurring topics across this work include Epilepsy research and treatment (8 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Motor Control and Adaptation (3 papers), Anatomy and Medical Technology (3 papers), Functional Brain Connectivity Studies (3 papers), Cardiac Valve Diseases and Treatments (2 papers), Neural dynamics and brain function (2 papers) and Neurological disorders and treatments (2 papers). The work is most often cited by research in Psychiatry and Mental health (633 citations), Cognitive Neuroscience (690 citations), Neurology (97 citations), Cellular and Molecular Neuroscience (146 citations) and Neurology (123 citations). Eric LaPresto has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Hans Otto Lüders, William E. Bingaman, Dileep R Nair, H. Shibasaki, Riki Matsumoto, Imad Najm, Beate Diehl, Paul M Ruggieri, Jean A. Tkach and Richard A. Prayson. Their work appears in journals such as Epilepsia, Neurology, Brain, Neurosurgical FOCUS and Epilepsy & Behavior.

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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