Krishna Jayant

21 papers receiving 343 citations

Peers

Krishna Jayant
Comparison fields: 5 of 57
  • Bioengineering 60
  • Electrochemistry 46
  • Cellular and Molecular Neuroscience 131
  • Biomedical Engineering 165
  • Cognitive Neuroscience 66
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A. Lackermeier United Kingdom
Harald Dermutz Switzerland
Abdulghani Ismail France
Tal Sharf United States
P. Norlin Sweden
Günter Wrobel Germany
Jolien Pas France
Tianyang Ye United States
Jelena Dragas Switzerland
Adina Scott United States
Krishna Jayant relative to A. Lackermeier United Kingdom A. Lackermeier's profile →
Citations per field
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A. Lackermeier · 1×
Citations per year

Countries citing papers authored by Krishna Jayant

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Krishna Jayant Line = papers co-authored together Krishna Jayant links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201690
2 201947
3 201937
4 202026
5 201322
6 202320
7 201320
8 202116
9 201914
10 201412
11 201910
12 20138
13 20157
14 20225
15 20093
16 20242
17 20232
18 20132
19 20251
20 20241

About Krishna Jayant

Krishna Jayant is a scholar working on Bioengineering, Cellular and Molecular Neuroscience, Electrochemistry, Cognitive Neuroscience and Biomedical Engineering, having authored 24 papers that have together received 346 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), Nanopore and Nanochannel Transport Studies (3 papers), Semiconductor materials and devices (3 papers) and Wireless Body Area Networks (3 papers). The work is most often cited by research in Bioengineering (60 citations), Electrochemistry (46 citations), Cellular and Molecular Neuroscience (131 citations), Biomedical Engineering (165 citations) and Cognitive Neuroscience (66 citations). Krishna Jayant has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Kenneth L. Shepard, Rafael Yuste, Özgür Şahin, Jonathan S. Owen, Edwin C. Kan, David Tsai, Martin A. Edwards, Jan J. Hirtz, Alexa Semonche and Ilan Jen‐La Plante. Their work appears in journals such as Cell Reports, Science Advances, IEEE Transactions on Electron Devices, Nature Electronics and Scientific Reports.

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.

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2026