Alpha Renner
Impact in
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- Neuroscience and Neural Engineering
- Neurobiology and Insect Physiology Research
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- Neural dynamics and brain function
Papers in
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- Advanced Memory and Neural Computing 17
- Ferroelectric and Negative Capacitance Devices 7
- CCD and CMOS Imaging Sensors 3
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- Neuroscience and Neural Engineering 9
- Co-authors
- Yulia Sandamirskaya (11 shared papers)Christoph Johannes Kleineidam (1 shared paper)Paul Szyszka (1 shared paper)Andrew Sornborger (5 shared papers)Anders Lyhne Christensen (1 shared paper)E. Paxon Frady (3 shared papers)Giacomo Indiveri (5 shared papers)Friedrich T. Sommer (3 shared papers)
- Journals
- Nature Machine Intelligence (2 papers)Frontiers in Neuroscience (1 paper)iScience (1 paper)Nature Communications (1 paper)Zurich Open Repository and Archive (University of Zurich) (3 papers)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Alpha Renner
18 papers receiving 229 citations
Peers
Comparison fields: 5 of 30
- Cellular and Molecular Neuroscience 91
- Cognitive Neuroscience 72
- Electrical and Electronic Engineering 164
- Sensory Systems 11
- Artificial Intelligence 50
Countries citing papers authored by Alpha Renner
This map shows the geographic impact of Alpha Renner'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 Alpha Renner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alpha Renner more than expected).
Fields of papers citing papers by Alpha Renner
This network shows the impact of papers produced by Alpha Renner. 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 Alpha Renner. The network helps show where Alpha Renner may publish in the future.
Co-authors
The 20 scholars most cited alongside Alpha Renner, 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 | 2018 | 40 | |
| 2 | 2020 | 38 | |
| 3 | 2018 | 35 | |
| 4 | 2020 | 29 | |
| 5 | 2020 | 22 | |
| 6 | 2024 | 14 | |
| 7 | 2020 | 12 | |
| 8 | 2024 | 10 | |
| 9 | 2020 | 9 | |
| 10 | 2022 | 8 | |
| 11 | 2024 | 4 | |
| 12 | 2025 | 2 | |
| 13 | 2019 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2022 | 1 | |
| 16 | Self-calibration and learning on chip: towards neuromorphic robots | 2019 | 1 |
| 17 | 2023 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2024 | 0 |
About Alpha Renner
Alpha Renner is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Artificial Intelligence and Computer Networks and Communications, having authored 19 papers that have together received 231 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (17 papers), Neuroscience and Neural Engineering (9 papers), Neural dynamics and brain function (8 papers), Ferroelectric and Negative Capacitance Devices (7 papers), Neural Networks and Reservoir Computing (3 papers), CCD and CMOS Imaging Sensors (3 papers), Neural Networks and Applications (2 papers) and Robotics and Sensor-Based Localization (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (91 citations), Cognitive Neuroscience (72 citations), Electrical and Electronic Engineering (164 citations), Sensory Systems (11 citations) and Artificial Intelligence (50 citations). Alpha Renner has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Yulia Sandamirskaya, Christoph Johannes Kleineidam, Paul Szyszka, Andrew Sornborger, Anders Lyhne Christensen, E. Paxon Frady, Giacomo Indiveri, Friedrich T. Sommer, Anatoly Zlotnik and Louis Tao. Their work appears in journals such as Nature Machine Intelligence, Frontiers in Neuroscience, iScience, Nature Communications and Zurich Open Repository and Archive (University of Zurich).
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.