Einat Kermany
Impact in
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- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Neuroscience and Neuropharmacology Research
Papers in
- Software 2
- Software Testing and Debugging Techniques 2
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- Neuroscience and Neuropharmacology Research 2
- Co-authors
- Shimon Marom (2 shared papers)Danny Eytan (2 shared papers)A. Gal (2 shared papers)Christoph Zrenner (1 shared paper)Goded Shahaf (1 shared paper)Ron Meir (1 shared paper)Yossi Adi (1 shared paper)Yoav Goldberg (1 shared paper)
- Journals
- IBM Journal of Research and Development (1 paper)Journal of Neuroscience (1 paper)PLoS Computational Biology (1 paper)Lecture notes in computer science (1 paper)International Conference on Learning Representations (1 paper)
- Partner nations
- IsraelGermanyUnited States
In The Last Decade
Einat Kermany
7 papers receiving 122 citations
Peers
Comparison fields: 5 of 31
- Cognitive Neuroscience 78
- Cellular and Molecular Neuroscience 70
- Software 9
- Artificial Intelligence 29
- Hardware and Architecture 5
Countries citing papers authored by Einat Kermany
This map shows the geographic impact of Einat Kermany'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 Einat Kermany with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Einat Kermany more than expected).
Fields of papers citing papers by Einat Kermany
This network shows the impact of papers produced by Einat Kermany. 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 Einat Kermany. The network helps show where Einat Kermany may publish in the future.
Co-authors
The 19 scholars most cited alongside Einat Kermany, 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 | 2008 | 62 | |
| 2 | 2010 | 32 | |
| 3 | 2017 | 16 | |
| 4 | 2013 | 10 | |
| 5 | 2017 | 6 | |
| 6 | 2015 | 6 | |
| 7 | Neural network gradient-based learning of black-box function interfaces | 2019 | 1 |
About Einat Kermany
Einat Kermany is a scholar working on Software, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Artificial Intelligence and Hardware and Architecture, having authored 7 papers that have together received 133 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (2 papers), Neural dynamics and brain function (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Machine Learning and Data Classification (1 paper), Radiation Effects in Electronics (1 paper), Anomaly Detection Techniques and Applications (1 paper), Water Systems and Optimization (1 paper) and Data Stream Mining Techniques (1 paper). The work is most often cited by research in Cognitive Neuroscience (78 citations), Cellular and Molecular Neuroscience (70 citations), Software (9 citations), Artificial Intelligence (29 citations) and Hardware and Architecture (5 citations). Einat Kermany has collaborated with scholars based in Israel, Germany and United States. Frequent co-authors include Shimon Marom, Danny Eytan, A. Gal, Christoph Zrenner, Goded Shahaf, Ron Meir, Yossi Adi, Yoav Goldberg, Yonatan Belinkov and Ofer Lavi. Their work appears in journals such as IBM Journal of Research and Development, Journal of Neuroscience, PLoS Computational Biology, Lecture notes in computer science and International Conference on Learning Representations.
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.