Eric M. Trautmann

2.9k citations
19 papers · 879 · 2 hit papers · h-index 11

Impact in

Papers in

    • Neural dynamics and brain function 9
    • EEG and Brain-Computer Interfaces 7
    • Neural and Behavioral Psychology Studies 3
    • Visual perception and processing mechanisms 2
    • Neuroscience and Neural Engineering 6
    • Photoreceptor and optogenetics research 2

Eric M. Trautmann

18 papers receiving 873 citations

Eric M. Trautmann's Hit Papers

Large-scale neural recordings with single neuron resolution using Neuropixels probes in human cortex 2022 · 137 citations
1370+2+5Years since publication100200300

Peers

Eric M. Trautmann
Comparison fields: 5 of 87
  • Cognitive Neuroscience 712
  • Cellular and Molecular Neuroscience 359
  • Biophysics 31
  • Computational Mathematics 2
  • Artificial Intelligence 101
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Citations per field
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Citations per year

Countries citing papers authored by Eric M. Trautmann

Since Specialization
Citations

This map shows the geographic impact of Eric M. Trautmann'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. Trautmann 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. Trautmann more than expected).

Fields of papers citing papers by Eric M. Trautmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1
Inferring single-trial neural population dynamics using sequential auto-encoders
Hit paper breakdown →
2018306
2 2019142
3
Large-scale neural recordings with single neuron resolution using Neuropixels probes in human cortex
Hit paper breakdown →
2022137
4 201947
5 202245
6 202244
7 201632
8 201228
9 202326
10 201926
11 202410
12 200910
13 20119
14 20235
15 20234
16 20243
17 20153
18
InSAR monitoring of volcanoes at the highest resolution: Creation and analysis of 30 meter/pixel topographic maps with interferograms from Andean volcanoes
20062
19 20090

About Eric M. Trautmann

Eric M. Trautmann is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Biomedical Engineering, Atmospheric Science and Aerospace Engineering, having authored 19 papers that have together received 879 indexed citations. Recurring topics across this work include Neural dynamics and brain function (9 papers), EEG and Brain-Computer Interfaces (7 papers), Neuroscience and Neural Engineering (6 papers), Neural and Behavioral Psychology Studies (3 papers), Muscle activation and electromyography studies (3 papers), Visual perception and processing mechanisms (2 papers), Cryospheric studies and observations (2 papers) and Photoreceptor and optogenetics research (2 papers). The work is most often cited by research in Cognitive Neuroscience (712 citations), Cellular and Molecular Neuroscience (359 citations), Biophysics (31 citations), Computational Mathematics (2 citations) and Artificial Intelligence (101 citations). Eric M. Trautmann has collaborated with scholars based in United States, Belgium and Germany. Frequent co-authors include Krishna V. Shenoy, Sergey D. Stavisky, Stephen I. Ryu, Daniel J. O’Shea, Matthew T. Kaufman, Leigh R. Hochberg, Jonathan C. Kao, Jaimie M. Henderson, Rafał Józefowicz and David Sussillo. Their work appears in journals such as Neuron, Nature Neuroscience, eLife, Experimental Neurology and Nature Methods.

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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