Eric M. Trautmann
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function 9
- EEG and Brain-Computer Interfaces 7
- Neural and Behavioral Psychology Studies 3
- Visual perception and processing mechanisms 2
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- Neuroscience and Neural Engineering 6
- Photoreceptor and optogenetics research 2
- Biophysics top 10%
- Artificial Intelligence top 10%
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- Muscle activation and electromyography studies 3
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- Cryospheric studies and observations 2
- Co-authors
- Krishna V. ShenoySergey D. StaviskyStephen I. RyuDaniel J. O’SheaMatthew T. KaufmanLeigh R. HochbergJonathan C. KaoRafał Józefowicz
- Partner nations
- United StatesBelgiumGermany
In The Last Decade
Eric M. Trautmann
18 papers receiving 873 citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Cognitive Neuroscience 712
- Cellular and Molecular Neuroscience 359
- Biophysics 31
- Computational Mathematics 2
- Artificial Intelligence 101
Countries citing papers authored by Eric M. Trautmann
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2024 | 10 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 26 | |
| 5 | 2023 | 4 | |
| 6 | Large-scale neural recordings with single neuron resolution using Neuropixels probes in human cortexbreakdown → | 2022 | 137 |
| 7 | 2022 | 44 | |
| 8 | 2022 | 45 | |
| 9 | 2019 | 142 | |
| 10 | 2019 | 47 | |
| 11 | 2019 | 26 | |
| 12 | Inferring single-trial neural population dynamics using sequential auto-encodersbreakdown → | 2018 | 306 |
| 13 | 2016 | 32 | |
| 14 | 2015 | 3 | |
| 15 | 2012 | 28 | |
| 16 | 2011 | 9 | |
| 17 | 2009 | 0 | |
| 18 | 2009 | 10 | |
| 19 | InSAR monitoring of volcanoes at the highest resolution: Creation and analysis of 30 meter/pixel topographic maps with interferograms from Andean volcanoes | 2006 | 2 |
About Eric M. Trautmann
Eric M. Trautmann is a scholar working on Cognitive Neuroscience, General Decision Sciences, Cellular and Molecular Neuroscience, Sensory Systems and Biophysics, 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), Muscle activation and electromyography studies (3 papers), Neural and Behavioral Psychology Studies (3 papers), Photoreceptor and optogenetics research (2 papers), Visual perception and processing mechanisms (2 papers) and Cryospheric studies and observations (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, Rafał Józefowicz, L. F. Abbott and Chethan Pandarinath. 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.