Thomas Pfeil
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
Papers in
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- Advanced Memory and Neural Computing 8
- Ferroelectric and Negative Capacitance Devices 3
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- Neural dynamics and brain function 6
- Co-authors
- Michael Pfeiffer (3 shared papers)Michael Schmuker (3 shared papers)Johannes Schemmel (3 shared papers)Karlheinz Meier (3 shared papers)Martin Paul Nawrot (2 shared papers)Elisabetta Chicca (2 shared papers)Eric Müller (1 shared paper)Paul Müller (1 shared paper)
- Journals
- Frontiers in Neuroscience (4 papers)Proceedings of the National Academy of Sciences (1 paper)BMC Neuroscience (1 paper)University of Groningen research database (University of Groningen / Centre for Information Technology) (1 paper)
- Partner nations
- GermanyNetherlandsJapan
In The Last Decade
Thomas Pfeil
10 papers receiving 762 citations
Thomas Pfeil's Hit Papers
Peers
Comparison fields: 5 of 70
- Cognitive Neuroscience 397
- Cellular and Molecular Neuroscience 223
- Electrical and Electronic Engineering 674
- Artificial Intelligence 260
- Sensory Systems 16
Countries citing papers authored by Thomas Pfeil
This map shows the geographic impact of Thomas Pfeil'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 Thomas Pfeil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Pfeil more than expected).
Fields of papers citing papers by Thomas Pfeil
This network shows the impact of papers produced by Thomas Pfeil. 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 Thomas Pfeil. The network helps show where Thomas Pfeil may publish in the future.
Co-authors
The 19 scholars most cited alongside Thomas Pfeil, 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 | Deep Learning With Spiking Neurons: Opportunities and Challenges Hit paper breakdown → | 2018 | 434 |
| 2 | 2013 | 113 | |
| 3 | 2020 | 77 | |
| 4 | 2014 | 68 | |
| 5 | 2012 | 67 | |
| 6 | Neuromorphic Learning towards Nano Second Precision | 2014 | 7 |
| 7 | 2020 | 7 | |
| 8 | 2023 | 2 | |
| 9 | 2013 | 1 | |
| 10 | 2020 | 1 |
About Thomas Pfeil
Thomas Pfeil is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience, Artificial Intelligence, Cellular and Molecular Neuroscience and Civil and Structural Engineering, having authored 10 papers that have together received 777 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (8 papers), Neural dynamics and brain function (6 papers), Ferroelectric and Negative Capacitance Devices (3 papers), Neural Networks and Reservoir Computing (3 papers), Neuroscience and Neural Engineering (2 papers), Anomaly Detection Techniques and Applications (1 paper), Water Systems and Optimization (1 paper) and Solar Radiation and Photovoltaics (1 paper). The work is most often cited by research in Cognitive Neuroscience (397 citations), Cellular and Molecular Neuroscience (223 citations), Electrical and Electronic Engineering (674 citations), Artificial Intelligence (260 citations) and Sensory Systems (16 citations). Thomas Pfeil has collaborated with scholars based in Germany, Netherlands and Japan. Frequent co-authors include Michael Pfeiffer, Michael Schmuker, Johannes Schemmel, Karlheinz Meier, Martin Paul Nawrot, Elisabetta Chicca, Eric Müller, Paul Müller, Andreas Grübl and Mihai A. Petrovici. Their work appears in journals such as Frontiers in Neuroscience, Proceedings of the National Academy of Sciences, BMC Neuroscience and University of Groningen research database (University of Groningen / Centre for Information Technology).
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.