Urs Egger
Impact in
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Semiconductor materials and devices
- CCD and CMOS Imaging Sensors
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- Neural Networks and Reservoir Computing
Papers in
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- Advanced Memory and Neural Computing 4
- Ferroelectric and Negative Capacitance Devices 2
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- Photoreceptor and optogenetics research 2
- Co-authors
- Evangelos Eleftheriou (3 shared papers)Theodore Antonakopoulos (3 shared papers)Manuel Le Gallo (3 shared papers)Abu Sebastian (4 shared papers)Irem Boybat (2 shared papers)Vinay Joshi (1 shared paper)Bipin Rajendran (1 shared paper)Christophe Piveteau (1 shared paper)
- Journals
- Frontiers in Neuroscience (1 paper)Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (1 paper)
- Partner nations
- SwitzerlandGreeceUnited Kingdom
In The Last Decade
Urs Egger
6 papers receiving 101 citations
Peers
Comparison fields: 5 of 29
- Electrical and Electronic Engineering 87
- Artificial Intelligence 38
- Hardware and Architecture 7
- Cellular and Molecular Neuroscience 15
- Cognitive Neuroscience 12
Countries citing papers authored by Urs Egger
This map shows the geographic impact of Urs Egger'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 Urs Egger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Urs Egger more than expected).
Fields of papers citing papers by Urs Egger
This network shows the impact of papers produced by Urs Egger. 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 Urs Egger. The network helps show where Urs Egger may publish in the future.
Co-authors
The 25 scholars most cited alongside Urs Egger, 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 | 81 | |
| 2 | 2022 | 11 | |
| 3 | 2013 | 8 | |
| 4 | 2021 | 2 | |
| 5 | 2025 | 1 | |
| 6 | 2016 | 1 |
About Urs Egger
Urs Egger is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Artificial Intelligence, Computer Networks and Communications and Information Systems, having authored 6 papers that have together received 104 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (4 papers), Ferroelectric and Negative Capacitance Devices (2 papers), Photoreceptor and optogenetics research (2 papers), Advanced Data Storage Technologies (1 paper), Domain Adaptation and Few-Shot Learning (1 paper), Cloud Computing and Resource Management (1 paper), Multimodal Machine Learning Applications (1 paper) and Phase-change materials and chalcogenides (1 paper). The work is most often cited by research in Electrical and Electronic Engineering (87 citations), Artificial Intelligence (38 citations), Hardware and Architecture (7 citations), Cellular and Molecular Neuroscience (15 citations) and Cognitive Neuroscience (12 citations). Urs Egger has collaborated with scholars based in Switzerland, Greece and United Kingdom. Frequent co-authors include Evangelos Eleftheriou, Theodore Antonakopoulos, Manuel Le Gallo, Abu Sebastian, Irem Boybat, Vinay Joshi, Bipin Rajendran, Christophe Piveteau, Geethan Karunaratne and Riduan Khaddam-Aljameh. Their work appears in journals such as Frontiers in Neuroscience and Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna).
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.