Dheevatsa Mudigere

15 papers and 299 indexed citations i.

About

Dheevatsa Mudigere is a scholar working on Artificial Intelligence, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dheevatsa Mudigere has authored 15 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computational Mechanics and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dheevatsa Mudigere’s work include Stochastic Gradient Optimization Techniques (3 papers), Recommender Systems and Techniques (3 papers) and Caching and Content Delivery (3 papers). Dheevatsa Mudigere is often cited by papers focused on Stochastic Gradient Optimization Techniques (3 papers), Recommender Systems and Techniques (3 papers) and Caching and Content Delivery (3 papers). Dheevatsa Mudigere collaborates with scholars based in United States, India and Israel. Dheevatsa Mudigere's co-authors include S. N. Omkar, G. Narayana Naik, S. Gopalakrishnan, Mikhail Smelyanskiy, Maxim Naumov, J. Senthilnath, S.N. Omkar, Alexander Heinecke, Juan J. Alonso and Bill Jia and has published in prestigious journals such as Physical Review Letters, Expert Systems with Applications and Computers & Structures.

In The Last Decade

Co-authorship network of co-authors of Dheevatsa Mudigere i

Fields of papers citing papers by Dheevatsa Mudigere

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dheevatsa Mudigere

Since Specialization
Citations

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