Krishna Jayant
Impact in
- Bioengineering top 5%
- Analytical Chemistry and Sensors
- Electrochemistry top 10%
- Electrochemical Analysis and Applications
Papers in
-
- Neuroscience and Neural Engineering 11
-
- Advanced Memory and Neural Computing 7
- Semiconductor materials and devices 3
- Co-authors
- Kenneth L. Shepard (6 shared papers)Rafael Yuste (5 shared papers)Özgür Şahin (3 shared papers)Jonathan S. Owen (2 shared papers)Ilan Jen‐La Plante (2 shared papers)Edwin C. Kan (9 shared papers)David Tsai (1 shared paper)Darcy S. Peterka (1 shared paper)
- Journals
- IEEE Transactions on Electron Devices (2 papers)Cell Reports (2 papers)Nature Electronics (2 papers)Science Advances (2 papers)Nature Communications (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Krishna Jayant
20 papers receiving 357 citations
Peers
Comparison fields: 5 of 53
- Bioengineering 61
- Electrochemistry 47
- Cellular and Molecular Neuroscience 130
- Biomedical Engineering 170
- Cognitive Neuroscience 64
Countries citing papers authored by Krishna Jayant
This map shows the geographic impact of Krishna Jayant'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 Krishna Jayant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krishna Jayant more than expected).
Fields of papers citing papers by Krishna Jayant
This network shows the impact of papers produced by Krishna Jayant. 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 Krishna Jayant. The network helps show where Krishna Jayant may publish in the future.
Co-authors
The 25 scholars most cited alongside Krishna Jayant, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 94 | |
| 2 | 2019 | 49 | |
| 3 | 2019 | 40 | |
| 4 | 2020 | 27 | |
| 5 | 2013 | 23 | |
| 6 | 2023 | 20 | |
| 7 | 2013 | 20 | |
| 8 | 2021 | 17 | |
| 9 | 2019 | 14 | |
| 10 | 2014 | 12 | |
| 11 | 2019 | 10 | |
| 12 | 2013 | 8 | |
| 13 | 2015 | 7 | |
| 14 | 2022 | 5 | |
| 15 | 2024 | 3 | |
| 16 | 2009 | 3 | |
| 17 | 2025 | 3 | |
| 18 | 2013 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2018 | 1 |
About Krishna Jayant
Krishna Jayant is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Biomedical Engineering, Cognitive Neuroscience and Bioengineering, having authored 24 papers that have together received 360 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (11 papers), Advanced Memory and Neural Computing (7 papers), Neural dynamics and brain function (6 papers), Analytical Chemistry and Sensors (5 papers), Electrochemical Analysis and Applications (4 papers), Wireless Body Area Networks (3 papers), Semiconductor materials and devices (3 papers) and Nanopore and Nanochannel Transport Studies (3 papers). The work is most often cited by research in Bioengineering (61 citations), Electrochemistry (47 citations), Cellular and Molecular Neuroscience (130 citations), Biomedical Engineering (170 citations) and Cognitive Neuroscience (64 citations). Krishna Jayant has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Kenneth L. Shepard, Rafael Yuste, Özgür Şahin, Jonathan S. Owen, Ilan Jen‐La Plante, Edwin C. Kan, David Tsai, Darcy S. Peterka, Jan J. Hirtz and Alexa Semonche. Their work appears in journals such as IEEE Transactions on Electron Devices, Cell Reports, Nature Electronics, Science Advances and Nature Communications.
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.