Gautam Kunapuli

16 papers and 302 indexed citations i.

About

Gautam Kunapuli is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Gautam Kunapuli has authored 16 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 3 papers in Control and Systems Engineering and 3 papers in Computational Theory and Mathematics. Recurrent topics in Gautam Kunapuli’s work include Machine Learning and Algorithms (4 papers), Topic Modeling (3 papers) and Bayesian Modeling and Causal Inference (3 papers). Gautam Kunapuli is often cited by papers focused on Machine Learning and Algorithms (4 papers), Topic Modeling (3 papers) and Bayesian Modeling and Causal Inference (3 papers). Gautam Kunapuli collaborates with scholars based in United States, Germany and India. Gautam Kunapuli's co-authors include Jong‐Shi Pang, Jing Hu, Kristin P. Bennett, Sriraam Natarajan, John E. Mitchell, Jude Shavlik, Kristian Kersting, Prasad Tadepalli, Xiaoyun Ji and Anita Mahadevan‐Jansen and has published in prestigious journals such as SIAM Journal on Optimization, Burns and International Journal of Approximate Reasoning.

In The Last Decade

Co-authorship network of co-authors of Gautam Kunapuli i

Fields of papers citing papers by Gautam Kunapuli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gautam Kunapuli

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025