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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- Neural dynamics and brain function 6
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- Neural Networks and Reservoir Computing 4
- Anomaly Detection Techniques and Applications 1
- Co-authors
- Michael Pfeiffer (4 shared papers)Michael Schmuker (3 shared papers)Elisabetta Chicca (3 shared papers)Karlheinz Meier (3 shared papers)Johannes Schemmel (3 shared papers)Martin Paul Nawrot (2 shared papers)Andreas Grübl (2 shared papers)Mihai Alexandru Petrovici (1 shared paper)
- Journals
- Frontiers in Neuroscience (4 papers)BMC Neuroscience (1 paper)Proceedings of the National Academy of Sciences (1 paper)Lecture notes in computer science (1 paper)RWTH Publications (RWTH Aachen) (1 paper)
- Partner nations
- GermanyNetherlandsMalaysia
In The Last Decade
Thomas Pfeil
12 papers receiving 934 citations
Thomas Pfeil's Hit Papers
Peers
Comparison fields: 5 of 74
- Cognitive Neuroscience 478
- Cellular and Molecular Neuroscience 260
- Electrical and Electronic Engineering 811
- Artificial Intelligence 321
- 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 22 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 | 508 |
| 2 | 2013 | 132 | |
| 3 | 2020 | 90 | |
| 4 | 2012 | 75 | |
| 5 | 2014 | 72 | |
| 6 | 2021 | 37 | |
| 7 | Effect of Heterogeneity on Decorrelation Mechanisms in Spiking Neural Networks: A Neuromorphic-Hardware Study | 2016 | 16 |
| 8 | 2017 | 13 | |
| 9 | 2020 | 8 | |
| 10 | 2023 | 4 | |
| 11 | 2013 | 1 | |
| 12 | 2020 | 1 |
About Thomas Pfeil
Thomas Pfeil is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Renewable Energy, Sustainability and the Environment, having authored 12 papers that have together received 957 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (10 papers), Neural dynamics and brain function (6 papers), Neural Networks and Reservoir Computing (4 papers), Ferroelectric and Negative Capacitance Devices (4 papers), Neuroscience and Neural Engineering (2 papers), Photoreceptor and optogenetics research (1 paper), Anomaly Detection Techniques and Applications (1 paper) and Water Systems and Optimization (1 paper). The work is most often cited by research in Cognitive Neuroscience (478 citations), Cellular and Molecular Neuroscience (260 citations), Electrical and Electronic Engineering (811 citations), Artificial Intelligence (321 citations) and Sensory Systems (16 citations). Thomas Pfeil has collaborated with scholars based in Germany, Netherlands and Malaysia. Frequent co-authors include Michael Pfeiffer, Michael Schmuker, Elisabetta Chicca, Karlheinz Meier, Johannes Schemmel, Martin Paul Nawrot, Andreas Grübl, Mihai Alexandru Petrovici, Eric Müller and Markus Diesmann. Their work appears in journals such as Frontiers in Neuroscience, BMC Neuroscience, Proceedings of the National Academy of Sciences, Lecture notes in computer science and RWTH Publications (RWTH Aachen).
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.