Michael Hersche
Impact in
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Human-Computer Interaction top 10%
- Gaze Tracking and Assistive Technology
Papers in
-
- Neural Networks and Reservoir Computing 7
- Domain Adaptation and Few-Shot Learning 3
-
- Advanced Memory and Neural Computing 11
- Ferroelectric and Negative Capacitance Devices 8
- Co-authors
- Luca Benini (17 shared papers)Abbas Rahimi (18 shared papers)Xiaying Wang (3 shared papers)Lukas Cavigelli (3 shared papers)Abu Sebastian (9 shared papers)Nobuaki Kobayashi (1 shared paper)Thorir Mar Ingolfsson (2 shared papers)Geethan Karunaratne (7 shared papers)
- Journals
- Nature Nanotechnology (1 paper)IEEE Transactions on Circuits & Systems II Express Briefs (1 paper)IEEE Sensors Journal (1 paper)Nature Machine Intelligence (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)
- Partner nations
- SwitzerlandItalyGermany
In The Last Decade
Michael Hersche
19 papers receiving 483 citations
Peers
Comparison fields: 5 of 56
- Cognitive Neuroscience 227
- Human-Computer Interaction 56
- Artificial Intelligence 182
- Cellular and Molecular Neuroscience 80
- Signal Processing 46
Countries citing papers authored by Michael Hersche
This map shows the geographic impact of Michael Hersche'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 Michael Hersche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Hersche more than expected).
Fields of papers citing papers by Michael Hersche
This network shows the impact of papers produced by Michael Hersche. 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 Michael Hersche. The network helps show where Michael Hersche may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Hersche, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 199 | |
| 2 | 2022 | 108 | |
| 3 | 2023 | 43 | |
| 4 | 2024 | 29 | |
| 5 | 2023 | 21 | |
| 6 | 2020 | 17 | |
| 7 | 2021 | 14 | |
| 8 | 2018 | 11 | |
| 9 | 2022 | 11 | |
| 10 | 2021 | 10 | |
| 11 | 2020 | 8 | |
| 12 | 2020 | 6 | |
| 13 | 2021 | 5 | |
| 14 | 2024 | 2 | |
| 15 | 2020 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2025 | 0 |
About Michael Hersche
Michael Hersche is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Signal Processing, having authored 21 papers that have together received 490 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (11 papers), Ferroelectric and Negative Capacitance Devices (8 papers), EEG and Brain-Computer Interfaces (7 papers), Neural Networks and Reservoir Computing (7 papers), Neuroscience and Neural Engineering (4 papers), Blind Source Separation Techniques (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Multimodal Machine Learning Applications (2 papers). The work is most often cited by research in Cognitive Neuroscience (227 citations), Human-Computer Interaction (56 citations), Artificial Intelligence (182 citations), Cellular and Molecular Neuroscience (80 citations) and Signal Processing (46 citations). Michael Hersche has collaborated with scholars based in Switzerland, Italy and Germany. Frequent co-authors include Luca Benini, Abbas Rahimi, Xiaying Wang, Lukas Cavigelli, Abu Sebastian, Nobuaki Kobayashi, Thorir Mar Ingolfsson, Geethan Karunaratne, Giovanni Cherubini and Michele Magno. Their work appears in journals such as Nature Nanotechnology, IEEE Transactions on Circuits & Systems II Express Briefs, IEEE Sensors Journal, Nature Machine Intelligence and IEEE Journal of Biomedical and Health 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.