Bodo Rueckauer
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
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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 14
- CCD and CMOS Imaging Sensors 3
- Ferroelectric and Negative Capacitance Devices 3
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- Neural dynamics and brain function 10
- EEG and Brain-Computer Interfaces 3
- Co-authors
- Shih‐Chii Liu (10 shared papers)Yuhuang Hu (1 shared paper)Michael Pfeiffer (1 shared paper)Tobi Delbrück (3 shared papers)Enea Ceolini (1 shared paper)Andreas Wild (1 shared paper)Marcel van Gerven (7 shared papers)Umut Güçlü (4 shared papers)
- Journals
- Frontiers in Neuroscience (4 papers)IEEE Signal Processing Magazine (1 paper)International Journal of Neural Systems (1 paper)Journal of Neural Engineering (1 paper)Experimental Neurobiology (1 paper)
- Partner nations
- SwitzerlandNetherlandsGermany
In The Last Decade
Bodo Rueckauer
19 papers receiving 1.0k citations
Bodo Rueckauer's Hit Papers
Peers
Comparison fields: 5 of 66
- Cognitive Neuroscience 580
- Electrical and Electronic Engineering 909
- Cellular and Molecular Neuroscience 239
- Artificial Intelligence 305
- Computer Vision and Pattern Recognition 67
Countries citing papers authored by Bodo Rueckauer
This map shows the geographic impact of Bodo Rueckauer'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 Bodo Rueckauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bodo Rueckauer more than expected).
Fields of papers citing papers by Bodo Rueckauer
This network shows the impact of papers produced by Bodo Rueckauer. 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 Bodo Rueckauer. The network helps show where Bodo Rueckauer may publish in the future.
Co-authors
The 23 scholars most cited alongside Bodo Rueckauer, 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 | Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image Classification Hit paper breakdown → | 2017 | 684 |
| 2 | 2018 | 115 | |
| 3 | 2016 | 72 | |
| 4 | 2019 | 51 | |
| 5 | 2022 | 39 | |
| 6 | 2022 | 18 | |
| 7 | 2021 | 11 | |
| 8 | 2021 | 11 | |
| 9 | 2024 | 10 | |
| 10 | 2021 | 5 | |
| 11 | 2020 | 4 | |
| 12 | 2022 | 4 | |
| 13 | 2021 | 3 | |
| 14 | 2021 | 3 | |
| 15 | 2025 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2019 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2024 | 0 |
About Bodo Rueckauer
Bodo Rueckauer is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (14 papers), Neural dynamics and brain function (10 papers), Neuroscience and Neural Engineering (6 papers), EEG and Brain-Computer Interfaces (3 papers), CCD and CMOS Imaging Sensors (3 papers), Ferroelectric and Negative Capacitance Devices (3 papers), Retinal Development and Disorders (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Cognitive Neuroscience (580 citations), Electrical and Electronic Engineering (909 citations), Cellular and Molecular Neuroscience (239 citations), Artificial Intelligence (305 citations) and Computer Vision and Pattern Recognition (67 citations). Bodo Rueckauer has collaborated with scholars based in Switzerland, Netherlands and Germany. Frequent co-authors include Shih‐Chii Liu, Yuhuang Hu, Michael Pfeiffer, Tobi Delbrück, Enea Ceolini, Andreas Wild, Marcel van Gerven, Umut Güçlü, Nasir Ahmad and Li Li. Their work appears in journals such as Frontiers in Neuroscience, IEEE Signal Processing Magazine, International Journal of Neural Systems, Journal of Neural Engineering and Experimental Neurobiology.
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.