Jaya Kawale

30 total papers · 1.1k total citations
16 papers, 630 citations indexed

About

Jaya Kawale is a scholar working on Global and Planetary Change, Information Systems and Economics and Econometrics. According to data from OpenAlex, Jaya Kawale has authored 16 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Global and Planetary Change, 5 papers in Information Systems and 5 papers in Economics and Econometrics. Recurrent topics in Jaya Kawale's work include Climate variability and models (8 papers), Recommender Systems and Techniques (5 papers) and Complex Systems and Time Series Analysis (5 papers). Jaya Kawale is often cited by papers focused on Climate variability and models (8 papers), Recommender Systems and Techniques (5 papers) and Complex Systems and Time Series Analysis (5 papers). Jaya Kawale collaborates with scholars based in United States, South Africa and Qatar. Jaya Kawale's co-authors include Sheng Li, Yun Fu, Jaideep Srivastava, Aditya Pal, Vipin Kumar, Stefan Liess, Branislav Kveton, Hung Bui, Michael Steinbach and Sanjay Chawla and has published in prestigious journals such as Journal of Climate, Statistical Analysis and Data Mining The ASA Data Science Journal and ePrints Soton (University of Southampton).

In The Last Decade

Jaya Kawale

16 papers receiving 612 citations

Hit Papers

Deep Collaborative Filter... 2015 2026 2018 2022 2015 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Jaya Kawale 359 267 155 95 75 16 630
Joonseok Lee 338 0.9× 312 1.2× 271 1.7× 75 0.8× 49 0.7× 39 774
Haibin Cheng 251 0.7× 374 1.4× 152 1.0× 82 0.9× 13 0.2× 17 652
Suju Rajan 210 0.6× 398 1.5× 279 1.8× 48 0.5× 13 0.2× 21 745
Hanhuai Shan 211 0.6× 345 1.3× 168 1.1× 49 0.5× 35 0.5× 16 670
Jeffrey M. Rzeszotarski 82 0.2× 189 0.7× 137 0.9× 61 0.6× 15 0.2× 28 582
Annavarapu Chandra Sekhara Rao 102 0.3× 489 1.8× 51 0.3× 40 0.4× 46 0.6× 12 767
Ruggero G. Pensa 124 0.3× 326 1.2× 115 0.7× 26 0.3× 29 0.4× 49 722
Slava Kisilevich 75 0.2× 136 0.5× 143 0.9× 27 0.3× 47 0.6× 18 640
Simon Byers 88 0.2× 228 0.9× 91 0.6× 15 0.2× 29 0.4× 22 616
Zhi-Dan Zhao 263 0.7× 149 0.6× 89 0.6× 48 0.5× 12 0.2× 27 733

Countries citing papers authored by Jaya Kawale

Since Specialization
Citations

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

Fields of papers citing papers by Jaya Kawale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaya Kawale

This figure shows the co-authorship network connecting the top 25 collaborators of Jaya Kawale. A scholar is included among the top collaborators of Jaya Kawale 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 Jaya Kawale. Jaya Kawale 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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