Niv Cohen
- Molecular Biology
- Cognitive Neuroscience
- Statistical and Nonlinear Physics
- Artificial Intelligence
- Cellular and Molecular Neuroscience
- Co-authors
- I. D. ZimmermanM.A. Jiménez-MontañoYedid HoshenMor NitzanZoe PiranPia RaananiNuphar VeigaOhad Benjamini
- Topics
- Cell Image Analysis Techniques (2 papers)Machine Learning in Bioinformatics (1 paper)Photonic and Optical Devices (1 paper)
- Partner nations
- IsraelUnited States
In The Last Decade
Niv Cohen
7 papers receiving 131 citations
Peers
Comparison fields: 5 of 45
- Molecular Biology 65
- Cognitive Neuroscience 47
- Statistical and Nonlinear Physics 31
- Artificial Intelligence 23
- Cellular and Molecular Neuroscience 17
Countries citing papers authored by Niv Cohen
This map shows the geographic impact of Niv Cohen'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 Niv Cohen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niv Cohen more than expected).
Fields of papers citing papers by Niv Cohen
This network shows the impact of papers produced by Niv Cohen. 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 Niv Cohen. The network helps show where Niv Cohen may publish in the future.
Co-authorship network of co-authors of Niv Cohen
This figure shows the co-authorship network connecting the top 25 collaborators of Niv Cohen. A scholar is included among the top collaborators of Niv Cohen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Niv Cohen. Niv Cohen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 7 | |
| 6 | PANDA - Adapting Pretrained Features for Anomaly Detection | 2 |
| 7 | 18 | |
| 8 | 72 |
About Niv Cohen
Niv Cohen is a scholar working on Acoustics and Ultrasonics, Biophysics and Physiology, having authored 8 papers that have together received 132 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (2 papers), Machine Learning in Bioinformatics (1 paper) and Photonic and Optical Devices (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (31 citations), Cognitive Neuroscience (47 citations) and Acoustics and Ultrasonics (2 citations). Niv Cohen has collaborated with scholars based in Israel and United States. Frequent co-authors include I. D. Zimmerman, M.A. Jiménez-Montaño, Yedid Hoshen, Mor Nitzan, Zoe Piran, Pia Raanani, Nuphar Veiga, Ohad Benjamini, Arnon Nagler and Mark Last. Their work appears in journals such as Journal of Neuroscience, Nature Biotechnology and Science Advances.
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.