Eric A. Pohlmeyer

1.3k citations
32 papers · 1.1k · h-index 16

Impact in

Papers in

Eric A. Pohlmeyer

32 papers receiving 1k citations

Peers

Eric A. Pohlmeyer
Comparison fields: 5 of 54
  • Cognitive Neuroscience 708
  • Cellular and Molecular Neuroscience 301
  • Anesthesiology and Pain Medicine 35
  • Biomedical Engineering 154
  • Computational Mathematics 2
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Citations per year

Countries citing papers authored by Eric A. Pohlmeyer

Since Specialization
Citations

This map shows the geographic impact of Eric A. Pohlmeyer'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. Pohlmeyer 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. Pohlmeyer more than expected).

Fields of papers citing papers by Eric A. Pohlmeyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010128
2 2009114
3 200798
4 201278
5 201173
6 200959
7 200556
8 200756
9 201455
10
Intracortical Somatosensory Stimulation to Elicit Fingertip Sensations in an Individual With Spinal Cord Injury
202246
11 201938
12 201630
13 201730
14 201328
15 201225
16 200819
17 201816
18 202115
19 200712
20 201512

About Eric A. Pohlmeyer

Eric A. Pohlmeyer is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Biomedical Engineering, Social Psychology and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (21 papers), Neuroscience and Neural Engineering (9 papers), Muscle activation and electromyography studies (6 papers), Control Systems and Identification (2 papers), Motor Control and Adaptation (2 papers), Image Retrieval and Classification Techniques (2 papers), Reinforcement Learning in Robotics (1 paper) and Primate Behavior and Ecology (1 paper). The work is most often cited by research in Cognitive Neuroscience (708 citations), Cellular and Molecular Neuroscience (301 citations), Anesthesiology and Pain Medicine (35 citations), Biomedical Engineering (154 citations) and Computational Mathematics (2 citations). Eric A. Pohlmeyer has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Lee E. Miller, Sara A. Solla, Eric Jon Perreault, Paul Sajda, Justin C. Sanchez, Noeline W. Prins, Shijia Geng, Shih‐Fu Chang, Babak Mahmoudi and Kevin L. Kilgore. Their work appears in journals such as Journal of Neural Engineering, PLoS ONE, Computational Intelligence and Neuroscience, Experimental Neurology and Journal of neurosurgery.

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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