David Rotermund
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Visual perception and processing mechanisms
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- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
Papers in
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- Neural dynamics and brain function 13
- EEG and Brain-Computer Interfaces 8
- Visual perception and processing mechanisms 3
- Neural and Behavioral Psychology Studies 1
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- Neuroscience and Neural Engineering 12
- Co-authors
- Klaus Pawelzik (18 shared papers)Matthias Bethge (5 shared papers)Udo Ernst (8 shared papers)Andreas K. Kreiter (6 shared papers)Sunita Mandon (4 shared papers)Iris Grothe (1 shared paper)Alberto García-Ortiz (3 shared papers)Martin Schneider (3 shared papers)
In The Last Decade
David Rotermund
19 papers receiving 296 citations
Peers
Comparison fields: 5 of 62
- Cognitive Neuroscience 238
- Cellular and Molecular Neuroscience 107
- Statistical and Nonlinear Physics 66
- Artificial Intelligence 62
- Signal Processing 17
Countries citing papers authored by David Rotermund
This map shows the geographic impact of David Rotermund'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 David Rotermund with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Rotermund more than expected).
Fields of papers citing papers by David Rotermund
This network shows the impact of papers produced by David Rotermund. 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 David Rotermund. The network helps show where David Rotermund may publish in the future.
Co-authors
The 13 scholars most cited alongside David Rotermund, 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 | 2002 | 77 | |
| 2 | 2003 | 45 | |
| 3 | 2014 | 33 | |
| 4 | 2009 | 20 | |
| 5 | 2003 | 19 | |
| 6 | 2013 | 17 | |
| 7 | 2018 | 16 | |
| 8 | 2006 | 14 | |
| 9 | 2019 | 11 | |
| 10 | 2003 | 11 | |
| 11 | 2013 | 10 | |
| 12 | 2013 | 7 | |
| 13 | 2021 | 7 | |
| 14 | 2019 | 6 | |
| 15 | 2007 | 5 | |
| 16 | 2017 | 2 | |
| 17 | 2020 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2011 | 1 | |
| 20 | Binary Tuning is Optimal for Neural Rate Coding with High Temporal Resolution | 2002 | 0 |
About David Rotermund
David Rotermund is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 20 papers that have together received 304 indexed citations. Recurring topics across this work include Neural dynamics and brain function (13 papers), Neuroscience and Neural Engineering (12 papers), Advanced Memory and Neural Computing (12 papers), EEG and Brain-Computer Interfaces (8 papers), Ferroelectric and Negative Capacitance Devices (4 papers), stochastic dynamics and bifurcation (3 papers), Visual perception and processing mechanisms (3 papers) and Neural and Behavioral Psychology Studies (1 paper). The work is most often cited by research in Cognitive Neuroscience (238 citations), Cellular and Molecular Neuroscience (107 citations), Statistical and Nonlinear Physics (66 citations), Artificial Intelligence (62 citations) and Signal Processing (17 citations). David Rotermund has collaborated with scholars based in Germany, Spain and Ukraine. Frequent co-authors include Klaus Pawelzik, Matthias Bethge, Udo Ernst, Andreas K. Kreiter, Sunita Mandon, Iris Grothe, Alberto García-Ortiz, Martin Schneider, Steffen Paul and Walter Lang. Their work appears in journals such as Journal of Neuroscience, Network Computation in Neural Systems, Neural Computation, Biological Cybernetics and HardwareX.
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.