Jayanth Koushik

15 total papers · 515 total citations
6 papers, 229 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 229 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 Domain Adaptation and Few-Shot Learning (2 papers), Machine Learning and Algorithms (2 papers) and Species Distribution and Climate Change (1 paper). Jayanth Koushik is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Machine Learning and Algorithms (2 papers) and Species Distribution and Climate Change (1 paper). Jayanth Koushik collaborates with scholars based in United States and India. Jayanth Koushik's co-authors include Louis–Philippe Morency, Deepak Gopinath, Behnaz Nojavanasghari, Tadas Baltrušaitis, Aarti Singh, J. Richard Jennings, Tor D. Wager, Lei K. Sheu, Peter J. Gianaros and Timothy Verstynen and has published in prestigious journals such as Journal of the American Heart Association, Neural Information Processing Systems and PNAS Nexus.

In The Last Decade

Jayanth Koushik

6 papers receiving 221 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jayanth Koushik	118	64	55	30	28	6	229
Sergey Pugachevskiy	129 1.1×	103 1.6×	56 1.0×	170 5.7×	10 0.4×	7	319
Jonathan Aigrain	19 0.2×	42 0.7×	27 0.5×	48 1.6×	28 1.0×	5	152
Maurizio Garbarino	46 0.4×	76 1.2×	34 0.6×	5 0.2×	37 1.3×	3	217
Gonzalo Bailador del Pozo	20 0.2×	127 2.0×	46 0.8×	54 1.8×	98 3.5×	14	271
Jorge Sancho	37 0.3×	29 0.5×	12 0.2×	11 0.4×	124 4.4×	4	263
Philippe Zimmermann	27 0.2×	137 2.1×	19 0.3×	10 0.3×	19 0.7×	10	267
Moitreya Chatterjee	104 0.9×	70 1.1×	127 2.3×	15 0.5×	8 0.3×	18	256
Todd Ogden	26 0.2×	17 0.3×	62 1.1×	24 0.8×	5 0.2×	10	323
Javier Guerra Casanova	17 0.1×	127 2.0×	42 0.8×	51 1.7×	99 3.5×	13	259
Sahar Harati	25 0.2×	95 1.5×	11 0.2×	8 0.3×	11 0.4×	12	193

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

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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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