Mayur Datar

15 papers and 2.8k indexed citations i.

About

Mayur Datar is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Mayur Datar has authored 15 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Computer Networks and Communications and 8 papers in Signal Processing. Recurrent topics in Mayur Datar’s work include Advanced Database Systems and Queries (9 papers), Data Management and Algorithms (8 papers) and Adaptation to Concept Drift in Data Streams (7 papers). Mayur Datar is often cited by papers focused on Advanced Database Systems and Queries (9 papers), Data Management and Algorithms (8 papers) and Adaptation to Concept Drift in Data Streams (7 papers). Mayur Datar collaborates with scholars based in United States and Singapore. Mayur Datar's co-authors include Piotr Indyk, Vahab Mirrokni, Nicole Immorlica, Rajeev Motwani, Aristides Gionis, Brian Babcock, R. Motwani, Vibhu O. Mittal, Hang Cui and Arvind Arasu and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, SIAM Journal on Computing and The VLDB Journal.

In The Last Decade

Co-authorship network of co-authors of Mayur Datar i

Fields of papers citing papers by Mayur Datar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mayur Datar

Since Specialization
Citations

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