Michael Hersche
Impact in
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Human-Computer Interaction top 5%
- Gaze Tracking and Assistive Technology
Papers in ⓘ
-
- Advanced Memory and Neural Computing 11
- Ferroelectric and Negative Capacitance Devices 8
-
- Neural Networks and Reservoir Computing 7
- Co-authors
- Luca Benini (17 shared papers)Abbas Rahimi (14 shared papers)Xiaying Wang (3 shared papers)Lukas Cavigelli (3 shared papers)Nobuaki Kobayashi (1 shared paper)Abu Sebastian (7 shared papers)Thorir Mar Ingolfsson (2 shared papers)Geethan Karunaratne (6 shared papers)
- Journals
- IEEE Transactions on Circuits & Systems II Express Briefs (1 paper)IEEE Sensors Journal (1 paper)Brain Informatics (1 paper)Nature Machine Intelligence (1 paper)Nature Nanotechnology (1 paper)
- Partner nations
- SwitzerlandItalyGermany
In The Last Decade
Michael Hersche
15 papers receiving 436 citations
Peers
Comparison fields: 5 of 53
- Cognitive Neuroscience 210
- Human-Computer Interaction 55
- Artificial Intelligence 167
- Cellular and Molecular Neuroscience 85
- Signal Processing 41
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 22 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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 181 | |
| 2 | 2022 | 100 | |
| 3 | 2023 | 37 | |
| 4 | 2024 | 25 | |
| 5 | 2023 | 20 | |
| 6 | 2020 | 17 | |
| 7 | 2021 | 13 | |
| 8 | 2022 | 11 | |
| 9 | 2018 | 11 | |
| 10 | 2021 | 10 | |
| 11 | 2020 | 8 | |
| 12 | 2020 | 6 | |
| 13 | 2021 | 5 | |
| 14 | 2024 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2024 | 0 | |
| 17 | 2024 | 0 |
About Michael Hersche
Michael Hersche is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Signal Processing, having authored 17 papers that have together received 446 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (11 papers), Ferroelectric and Negative Capacitance Devices (8 papers), Neural Networks and Reservoir Computing (7 papers), EEG and Brain-Computer Interfaces (6 papers), Neuroscience and Neural Engineering (4 papers), Blind Source Separation Techniques (3 papers), COVID-19 diagnosis using AI (2 papers) and Multimodal Machine Learning Applications (2 papers). The work is most often cited by research in Cognitive Neuroscience (210 citations), Human-Computer Interaction (55 citations), Artificial Intelligence (167 citations), Cellular and Molecular Neuroscience (85 citations) and Signal Processing (41 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, Nobuaki Kobayashi, Abu Sebastian, Thorir Mar Ingolfsson, Geethan Karunaratne, Giovanni Cherubini and Michele Magno. Their work appears in journals such as IEEE Transactions on Circuits & Systems II Express Briefs, IEEE Sensors Journal, Brain Informatics, Nature Machine Intelligence and Nature Nanotechnology.
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.