Kedar Bellare

12 papers and 193 indexed citations i.

About

Kedar Bellare is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kedar Bellare has authored 12 papers receiving a total of 193 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Management Science and Operations Research and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kedar Bellare’s work include Data Quality and Management (7 papers), Machine Learning and Algorithms (4 papers) and Topic Modeling (4 papers). Kedar Bellare is often cited by papers focused on Data Quality and Management (7 papers), Machine Learning and Algorithms (4 papers) and Topic Modeling (4 papers). Kedar Bellare collaborates with scholars based in United States, Israel and United Kingdom. Kedar Bellare's co-authors include Nilesh Dalvi, Andrew McCallum, Aditya Parameswaran, Vibhor Rastogi, Gregory Druck, Pushpak Bhattacharyya, Atish Das Sarma, Ganesh Ramakrishnan, Anish Das Sarma and Olivier Chapelle and has published in prestigious journals such as Proceedings of the VLDB Endowment, Language Resources and Evaluation and ACM Transactions on Knowledge Discovery from Data.

In The Last Decade

Co-authorship network of co-authors of Kedar Bellare i

Fields of papers citing papers by Kedar Bellare

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kedar Bellare

Since Specialization
Citations

This map shows the geographic impact of Kedar Bellare'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 Kedar Bellare with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kedar Bellare 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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2025