Nitesh V. Chawla

213 papers and 22.1k indexed citations i.

About

Nitesh V. Chawla is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Information Systems. According to data from OpenAlex, Nitesh V. Chawla has authored 213 papers receiving a total of 22.1k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Artificial Intelligence, 41 papers in Statistical and Nonlinear Physics and 27 papers in Information Systems. Recurrent topics in Nitesh V. Chawla’s work include Complex Network Analysis Techniques (41 papers), Advanced Graph Neural Networks (30 papers) and Imbalanced Data Classification Techniques (23 papers). Nitesh V. Chawla is often cited by papers focused on Complex Network Analysis Techniques (41 papers), Advanced Graph Neural Networks (30 papers) and Imbalanced Data Classification Techniques (23 papers). Nitesh V. Chawla collaborates with scholars based in United States, China and Poland. Nitesh V. Chawla's co-authors include Lawrence Hall, W. Philip Kegelmeyer, Kevin W. Bowyer, Francisco Herrera, Alberto Fernández, Salvador García, Yang Yang, Darcy Davis, Yuxiao Dong and Karsten Steinhaeuser and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and PEDIATRICS.

In The Last Decade

Co-authorship network of co-authors of Nitesh V. Chawla i

Fields of papers citing papers by Nitesh V. Chawla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nitesh V. Chawla. 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 Nitesh V. Chawla. The network helps show where Nitesh V. Chawla may publish in the future.

Countries citing papers authored by Nitesh V. Chawla

Since Specialization
Citations

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

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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