Eric C. Leuthardt

14.4k citations
210 papers · 10.1k indexed · 2 hit papers · h-index 53

Impact in

Papers in

    • EEG and Brain-Computer Interfaces 77
    • Functional Brain Connectivity Studies 61
    • Neural dynamics and brain function 50
    • Glioma Diagnosis and Treatment 52

Eric C. Leuthardt

201 papers receiving 9.9k citations

Hit Papers

Spectral Changes in Cortical Surface Potentials during Motor Movement 2007 · 564 citations
5642004202620112018250500750

Peers

Eric C. Leuthardt
Comparison fields: 5 of 150
  • Cognitive Neuroscience 6.4k
  • Cellular and Molecular Neuroscience 3.1k
  • Genetics 1.5k
  • Radiology, Nuclear Medicine and Imaging 1.7k
  • Neurology 935
Replace Nader Pouratian with:
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Citations per field
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Citations per year

Countries citing papers authored by Eric C. Leuthardt

Since Specialization
Citations

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

Fields of papers citing papers by Eric C. Leuthardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 202413
5 202411
6 202321
7 202336
8 20233
9 202217
10 202217
11 202224
12 202138
13 20211
14 202039
15 201754
16 201524
17 201447
18 201171
19 201035
20 20031

About Eric C. Leuthardt

Eric C. Leuthardt is a scholar working on Cognitive Neuroscience, Genetics, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 210 papers that have together received 10.1k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (77 papers), Functional Brain Connectivity Studies (61 papers), Glioma Diagnosis and Treatment (52 papers), Neural dynamics and brain function (50 papers), Neuroscience and Neural Engineering (37 papers), Advanced MRI Techniques and Applications (33 papers), Brain Metastases and Treatment (18 papers) and Advanced Neuroimaging Techniques and Applications (18 papers). The work is most often cited by research in Cognitive Neuroscience (6.4k citations), Cellular and Molecular Neuroscience (3.1k citations), Genetics (1.5k citations), Radiology, Nuclear Medicine and Imaging (1.7k citations) and Neurology (935 citations). Eric C. Leuthardt has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Gerwin Schalk, Daniel W. Moran, Jeffrey G. Ojemann, Jonathan R. Wolpaw, Joshua S. Shimony, Kai J. Miller, Nicholas Anderson, Carl D. Hacker, Abraham Z. Snyder and Albert H. Kim. Their work appears in journals such as Neurosurgery, Journal of Neural Engineering, Neuro-Oncology, PLoS ONE and Neurosurgical FOCUS.

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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