Eric M. Trautmann

3.0k citations
20 papers · 1.0k · 2 hit papers · h-index 13

Impact in

Papers in

Eric M. Trautmann

19 papers receiving 1.0k citations

Eric M. Trautmann's Hit Papers

Large-scale neural recordings with single neuron resolution using Neuropixels probes in human cortex 2022 · 155 citations
1550+2+5Years since publication100200300

Peers

Eric M. Trautmann
Comparison fields: 5 of 91
  • Cognitive Neuroscience 779
  • Cellular and Molecular Neuroscience 404
  • Biophysics 31
  • Artificial Intelligence 133
  • Electrical and Electronic Engineering 216
Replace Matthew G. Perich with:
Matthew G. Perich United States
Matthew D. Golub United States
Alessio Paolo Buccino United States
Justin Foster United States
Sacha J. van Albada Germany
David A. Moses United States
Maximilian E. Dougherty United States
Jian K. Liu China
R. Cotton United States
Sergey D. Stavisky United States
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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

20 of 20 papers shown
#Work
1
Inferring single-trial neural population dynamics using sequential auto-encoders
Hit paper breakdown →
2018332
2
Large-scale neural recordings with single neuron resolution using Neuropixels probes in human cortex
Hit paper breakdown →
2022155
3 2019153
4 201272
5 201952
6 202249
7 202248
8 201634
9 201231
10 202331
11 201928
12 202413
13 200912
14 201111
15 20237
16 20234
17 20243
18 20153
19
InSAR monitoring of volcanoes at the highest resolution: Creation and analysis of 30 meter/pixel topographic maps with interferograms from Andean volcanoes
20062
20 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 20 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neural dynamics and brain function (9 papers), Neuroscience and Neural Engineering (7 papers), EEG and Brain-Computer Interfaces (7 papers), Neural and Behavioral Psychology Studies (3 papers), Muscle activation and electromyography studies (3 papers), Robotic Locomotion and Control (2 papers), Photoreceptor and optogenetics research (2 papers) and Cryospheric studies and observations (2 papers). The work is most often cited by research in Cognitive Neuroscience (779 citations), Cellular and Molecular Neuroscience (404 citations), Biophysics (31 citations), Artificial Intelligence (133 citations) and Electrical and Electronic Engineering (216 citations). Eric M. Trautmann has collaborated with scholars based in United States, Germany and China. 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, Jasmine Collins, Chethan Pandarinath and Jaimie M. Henderson. Their work appears in journals such as Neuron, Nature Neuroscience, eLife, Experimental Neurology and Nature.

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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