Rishabh Iyer

39 papers and 610 indexed citations i.

About

Rishabh Iyer is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rishabh Iyer has authored 39 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 12 papers in Computational Theory and Mathematics and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rishabh Iyer’s work include Machine Learning and Algorithms (12 papers), Combinatorial Optimization and Complexity Theory (11 papers) and Machine Learning and Data Classification (7 papers). Rishabh Iyer is often cited by papers focused on Machine Learning and Algorithms (12 papers), Combinatorial Optimization and Complexity Theory (11 papers) and Machine Learning and Data Classification (7 papers). Rishabh Iyer collaborates with scholars based in United States, India and Finland. Rishabh Iyer's co-authors include Jeff Bilmes, Mari Ostendorf, Kai Wei, Stefanie Jegelka, Ganesh Ramakrishnan, Sebastian Tschiatschek, H. Gish, Pradeep Shenoy, Kai Wei and Yuzong Liu and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Signal Processing Letters and Computer Speech & Language.

In The Last Decade

Co-authorship network of co-authors of Rishabh Iyer i

Fields of papers citing papers by Rishabh Iyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rishabh Iyer

Since Specialization
Citations

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