Shahar Kvatinsky
- Electrical and Electronic Engineering top 0.5%
- Cellular and Molecular Neuroscience top 0.5%
- Cognitive Neuroscience top 5%
- Artificial Intelligence top 2%
- Hardware and Architecture top 1%
- Co-authors
- Avinoam KolodnyEby G. FriedmanUri WeiserNimrod WaldGuy SatatNishil TalatiД. Р. БелоусовNicolás Wainstein
- Topics
- Advanced Memory and Neural Computing (108 papers)Ferroelectric and Negative Capacitance Devices (64 papers)Neuroscience and Neural Engineering (44 papers)
- Cited by
- Cellular and Molecular NeuroscienceElectrical and Electronic EngineeringHardware and Architecture
- Journals
- SHILAP Revista de lepidopterologíaApplied Physics LettersProceedings of the IEEE
- Partner nations
- IsraelUnited StatesChina
In The Last Decade
Shahar Kvatinsky
120 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Electrical and Electronic Engineering 4.8k
- Cellular and Molecular Neuroscience 2.3k
- Cognitive Neuroscience 561
- Artificial Intelligence 554
- Hardware and Architecture 501
Countries citing papers authored by Shahar Kvatinsky
This map shows the geographic impact of Shahar Kvatinsky'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 Shahar Kvatinsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shahar Kvatinsky more than expected).
Fields of papers citing papers by Shahar Kvatinsky
This network shows the impact of papers produced by Shahar Kvatinsky. 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 Shahar Kvatinsky. The network helps show where Shahar Kvatinsky may publish in the future.
Co-authorship network of co-authors of Shahar Kvatinsky
This figure shows the co-authorship network connecting the top 25 collaborators of Shahar Kvatinsky. A scholar is included among the top collaborators of Shahar Kvatinsky 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 Shahar Kvatinsky. Shahar Kvatinsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 5 | |
| 6 | 14 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 8 | |
| 10 | 8 | |
| 11 | 12 | |
| 12 | 10 | |
| 13 | 13 | |
| 14 | 9 | |
| 15 | 7 | |
| 16 | 39 | |
| 17 | 13 | |
| 18 | 76 | |
| 19 | 42 | |
| 20 | 2 |
About Shahar Kvatinsky
Shahar Kvatinsky is a scholar working on Cellular and Molecular Neuroscience, Hardware and Architecture and Electrical and Electronic Engineering, having authored 122 papers that have together received 5.1k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (108 papers), Ferroelectric and Negative Capacitance Devices (64 papers) and Neuroscience and Neural Engineering (44 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.3k citations), Electrical and Electronic Engineering (4.8k citations) and Hardware and Architecture (501 citations). Shahar Kvatinsky has collaborated with scholars based in Israel, United States and China. Frequent co-authors include Avinoam Kolodny, Eby G. Friedman, Uri Weiser, Nimrod Wald, Guy Satat, Nishil Talati, Д. Р. Белоусов, Nicolás Wainstein, Saransh Gupta and Pravin Mane. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Proceedings of the IEEE.
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.