Vinay Jayaram

1.9k citations
25 papers · 1.3k · 1 hit paper · h-index 15

Impact in

Papers in

Vinay Jayaram

24 papers receiving 1.2k citations

Vinay Jayaram's Hit Papers

Transfer Learning in Brain-Computer Interfaces Abstract\uFFFDThe performance of brain-computer interfaces (BCIs) improves with the amount of avail 2016 · 314 citations
3140+3+6Years since publication100200300

Peers

Vinay Jayaram
Comparison fields: 5 of 88
  • Hardware and Architecture 524
  • Cognitive Neuroscience 423
  • Human-Computer Interaction 76
  • Nutrition and Dietetics 195
  • Electrical and Electronic Engineering 637
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Da‐Wei Chang Taiwan
Daniela De Venuto Italy
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Yujie Chen China
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Citations per field
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Citations per year

Countries citing papers authored by Vinay Jayaram

Since Specialization
Citations

This map shows the geographic impact of Vinay Jayaram'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 Vinay Jayaram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vinay Jayaram more than expected).

Fields of papers citing papers by Vinay Jayaram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vinay Jayaram. 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 Vinay Jayaram. The network helps show where Vinay Jayaram may publish in the future.

Co-authors

The 25 scholars most cited alongside Vinay Jayaram, 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 Vinay Jayaram Line = papers co-authored together Vinay Jayaram links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Transfer Learning in Brain-Computer Interfaces Abstract\uFFFDThe performance of brain-computer interfaces (BCIs) improves with the amount of avail
Hit paper breakdown →
2016314
2 2004306
3 2012101
4 201379
5 201373
6 200669
7 201442
8 200741
9 201539
10 200738
11 200638
12 200633
13 202017
14 201517
15 202015
16 200713
17 201610
18 20178
19 20068
20 20217

About Vinay Jayaram

Vinay Jayaram is a scholar working on Cognitive Neuroscience, Hardware and Architecture, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Biomedical Engineering, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (11 papers), Integrated Circuits and Semiconductor Failure Analysis (8 papers), VLSI and Analog Circuit Testing (8 papers), Neuroscience and Neural Engineering (7 papers), Neural dynamics and brain function (5 papers), VLSI and FPGA Design Techniques (3 papers), Food composition and properties (3 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (3 papers). The work is most often cited by research in Hardware and Architecture (524 citations), Cognitive Neuroscience (423 citations), Human-Computer Interaction (76 citations), Nutrition and Dietetics (195 citations) and Electrical and Electronic Engineering (637 citations). Vinay Jayaram has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Moritz Grosse‐Wentrup, Mohammad Tehranipoor, Bernhard Schölkopf, Yasemin Altün, Nisar Ahmed, Morteza Alamgir, Christophe M. Courtin, Kevin J. Verstrepen, Sandip Kundu and Kenneth M. Butler. Their work appears in journals such as Food Chemistry, Journal of Neural Engineering, Cerebral Cortex, Journal of the Science of Food and Agriculture and IEEE Transactions on Human-Machine Systems.

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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