Jaya Kawale

1.1k total citations · 1 hit paper
16 papers, 631 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 631 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, Aditya Pal, Jaideep Srivastava, Stefan Liess, Vipin Kumar, 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 ANU Open Research (Australian National University).

In The Last Decade

Jaya Kawale

16 papers receiving 612 citations

Hit Papers

Deep Collaborative Filtering via Marginalized Denoising A... 2015 2026 2018 2022 2015 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jaya Kawale United States 12 360 268 154 95 75 16 631
Joonseok Lee United States 14 341 0.9× 316 1.2× 275 1.8× 75 0.8× 49 0.7× 40 782
V. Uma India 14 210 0.6× 182 0.7× 104 0.7× 48 0.5× 76 1.0× 59 549
Choochart Haruechaiyasak Thailand 15 250 0.7× 416 1.6× 85 0.6× 38 0.4× 18 0.2× 68 681
Slava Kisilevich Germany 11 75 0.2× 136 0.5× 143 0.9× 27 0.3× 47 0.6× 18 640
Zhi-Dan Zhao China 12 266 0.7× 150 0.6× 88 0.6× 48 0.5× 12 0.2× 27 742
Quoc Vu United States 11 588 1.6× 281 1.0× 34 0.2× 23 0.2× 29 0.4× 17 770
P. M. Rubesh Anand India 9 170 0.5× 240 0.9× 47 0.3× 27 0.3× 23 0.3× 26 569
Edi Winarko Indonesia 13 443 1.2× 357 1.3× 62 0.4× 49 0.5× 5 0.1× 106 704
Yuzhou Zhang China 9 96 0.3× 128 0.5× 44 0.3× 20 0.2× 40 0.5× 22 288

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

16 of 16 papers shown
1.
Christakopoulou, Konstantina, Jaya Kawale, & Arindam Banerjee. (2017). Recommendation with Capacity Constraints. 1439–1448. 7 indexed citations
2.
Li, Sheng, et al.. (2016). Matching via dimensionality reduction for estimation of treatment effects in digital marketing campaigns. International Joint Conference on Artificial Intelligence. 3768–3774. 14 indexed citations
3.
Bui, Hung, Jaya Kawale, Nikos Vlassis, et al.. (2016). Practical linear models for large-scale one-class collaborative filtering. ANU Open Research (Australian National University). 3854–3860. 10 indexed citations
4.
Kawale, Jaya, et al.. (2015). Efficient Thompson sampling for online matrix-factorization recommendation. Warwick Research Archive Portal (University of Warwick). 28. 1297–1305. 54 indexed citations
5.
Li, Sheng, Jaya Kawale, & Yun Fu. (2015). Deep Collaborative Filtering via Marginalized Denoising Auto-encoder. 811–820. 293 indexed citations breakdown →
6.
Li, Sheng, Jaya Kawale, & Yun Fu. (2015). Predicting User Behavior in Display Advertising via Dynamic Collective Matrix Factorization. 875–878. 11 indexed citations
7.
Lu, Mengqian, Upmanu Lall, Jaya Kawale, Stefan Liess, & Vipin Kumar. (2015). Exploring the Predictability of 30-Day Extreme Precipitation Occurrence Using a Global SST–SLP Correlation Network. Journal of Climate. 29(3). 1013–1029. 18 indexed citations
8.
Liess, Stefan, P. K. Snyder, Jaya Kawale, et al.. (2014). Different Modes of Variability over the Tasman Sea: Implications for Regional Climate*. Journal of Climate. 27(22). 8466–8486. 16 indexed citations
9.
Kawale, Jaya & Daniel Boley. (2013). Constrained Spectral Clustering using L1 Regularization. 103–111. 15 indexed citations
10.
Kawale, Jaya, Stefan Liess, Michael Steinbach, et al.. (2013). A graph‐based approach to find teleconnections in climate data. Statistical Analysis and Data Mining The ASA Data Science Journal. 6(3). 158–179. 26 indexed citations
11.
Kawale, Jaya, Stefan Liess, Vipin Kumar, Upmanu Lall, & Auroop R. Ganguly. (2012). Mining time-lagged relationships in spatio-temporal climate data. 1215. 130–135. 4 indexed citations
12.
Kawale, Jaya, et al.. (2012). Testing the significance of spatio-temporal teleconnection patterns. Open MIND. 642–650. 13 indexed citations
13.
Kawale, Jaya, Stefan Liess, Michael Steinbach, et al.. (2011). Data guided discovery of dynamic climate dipoles. 30–44. 9 indexed citations
14.
Kawale, Jaya, et al.. (2011). ANOMALY CONSTRUCTION IN CLIMATE DATA: ISSUES AND CHALLENGES. Open MIND. 189–203. 15 indexed citations
15.
Kawale, Jaya, Michael Steinbach, & Vipin Kumar. (2011). Discovering Dynamic Dipoles in Climate Data. 107–118. 16 indexed citations
16.
Kawale, Jaya, Aditya Pal, & Jaideep Srivastava. (2009). Churn Prediction in MMORPGs: A Social Influence Based Approach. 423–428. 110 indexed citations

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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