Jayanth Koushik

522 total citations
6 papers, 233 citations indexed

About

Jayanth Koushik is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine and Endocrine and Autonomic Systems. According to data from OpenAlex, Jayanth Koushik has authored 6 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Cardiology and Cardiovascular Medicine and 1 paper in Endocrine and Autonomic Systems. Recurrent topics in Jayanth Koushik's work include Machine Learning and Algorithms (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Stress Responses and Cortisol (1 paper). Jayanth Koushik is often cited by papers focused on Machine Learning and Algorithms (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Stress Responses and Cortisol (1 paper). Jayanth Koushik collaborates with scholars based in United States and India. Jayanth Koushik's co-authors include Tadas Baltrušaitis, Deepak Gopinath, Louis–Philippe Morency, Behnaz Nojavanasghari, Aarti Singh, Peter J. Gianaros, Lei K. Sheu, Tor D. Wager, J. Richard Jennings and Timothy Verstynen and has published in prestigious journals such as Journal of the American Heart Association, Journal of International Crisis and Risk Communication Research and Neural Information Processing Systems.

In The Last Decade

Jayanth Koushik

6 papers receiving 225 citations

Peers

Jayanth Koushik
Comparison fields: 5 of 78
  • Artificial Intelligence 119
  • Experimental and Cognitive Psychology 64
  • Computer Vision and Pattern Recognition 55
  • Signal Processing 30
  • Cardiology and Cardiovascular Medicine 28
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Citations per field, relative to Jayanth Koushik
Jayanth Koushik · 1×
Citations per year, relative to Jayanth Koushik
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Countries citing papers authored by Jayanth Koushik

Since Specialization
Citations

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

Fields of papers citing papers by Jayanth Koushik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jayanth Koushik

This figure shows the co-authorship network connecting the top 25 collaborators of Jayanth Koushik. A scholar is included among the top collaborators of Jayanth Koushik 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 Jayanth Koushik. Jayanth Koushik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
# Work Indexed citations
1 4
2
Hypothesis Transfer Learning via Transformation Functions
9
3
Improving Stochastic Gradient Descent with Feedback
7
4 54
5 154
6 5

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