Gregor Lenz
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- CCD and CMOS Imaging Sensors
Papers in
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- Advanced Memory and Neural Computing 6
- Ferroelectric and Negative Capacitance Devices 2
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- Neural dynamics and brain function 4
- EEG and Brain-Computer Interfaces 2
- Co-authors
- Jason K. Eshraghian (2 shared papers)Mohammed Bennamoun (1 shared paper)Girish Dwivedi (1 shared paper)Emre Neftci (1 shared paper)Wei Lü (1 shared paper)Xinxin Wang (1 shared paper)Doo Seok Jeong (1 shared paper)Max Ward (1 shared paper)
- Journals
- Frontiers in Neuroscience (2 papers)Ultraschall in der Medizin - European Journal of Ultrasound (1 paper)Proceedings of the IEEE (1 paper)Nature Communications (1 paper)Studies in health technology and informatics (1 paper)
- Partner nations
- FranceSwitzerlandGermany
In The Last Decade
Gregor Lenz
13 papers receiving 415 citations
Gregor Lenz's Hit Papers
Peers
Comparison fields: 5 of 54
- Cognitive Neuroscience 147
- Electrical and Electronic Engineering 311
- Cellular and Molecular Neuroscience 80
- Artificial Intelligence 139
- Hardware and Architecture 11
Countries citing papers authored by Gregor Lenz
This map shows the geographic impact of Gregor Lenz'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 Gregor Lenz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregor Lenz more than expected).
Fields of papers citing papers by Gregor Lenz
This network shows the impact of papers produced by Gregor Lenz. 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 Gregor Lenz. The network helps show where Gregor Lenz may publish in the future.
Co-authors
The 24 scholars most cited alongside Gregor Lenz, 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 | Training Spiking Neural Networks Using Lessons From Deep Learning Hit paper breakdown → | 2023 | 344 |
| 2 | 2024 | 30 | |
| 3 | 2022 | 9 | |
| 4 | 2023 | 8 | |
| 5 | 2020 | 6 | |
| 6 | 2008 | 4 | |
| 7 | 2022 | 4 | |
| 8 | Event-based Dynamic Face Detection and Tracking Based on Activity. | 2018 | 4 |
| 9 | 2019 | 4 | |
| 10 | High Speed Event-based Face Detection and Tracking in the Blink of an Eye | 2018 | 3 |
| 11 | 1985 | 2 | |
| 12 | 2022 | 1 | |
| 13 | 2014 | 1 |
About Gregor Lenz
Gregor Lenz is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction, having authored 13 papers that have together received 420 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (6 papers), Neural dynamics and brain function (4 papers), Ferroelectric and Negative Capacitance Devices (2 papers), EEG and Brain-Computer Interfaces (2 papers), Gaze Tracking and Assistive Technology (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Advanced Clustering Algorithms Research (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Cognitive Neuroscience (147 citations), Electrical and Electronic Engineering (311 citations), Cellular and Molecular Neuroscience (80 citations), Artificial Intelligence (139 citations) and Hardware and Architecture (11 citations). Gregor Lenz has collaborated with scholars based in France, Switzerland and Germany. Frequent co-authors include Jason K. Eshraghian, Mohammed Bennamoun, Girish Dwivedi, Emre Neftci, Wei Lü, Xinxin Wang, Doo Seok Jeong, Max Ward, Sadique Sheik and Ryad Benosman. Their work appears in journals such as Frontiers in Neuroscience, Ultraschall in der Medizin - European Journal of Ultrasound, Proceedings of the IEEE, Nature Communications and Studies in health technology and informatics.
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.