Pavan Kapanipathi

27 papers and 248 indexed citations i.

About

Pavan Kapanipathi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Pavan Kapanipathi has authored 27 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Management Science and Operations Research. Recurrent topics in Pavan Kapanipathi’s work include Topic Modeling (19 papers), Natural Language Processing Techniques (12 papers) and Advanced Graph Neural Networks (7 papers). Pavan Kapanipathi is often cited by papers focused on Topic Modeling (19 papers), Natural Language Processing Techniques (12 papers) and Advanced Graph Neural Networks (7 papers). Pavan Kapanipathi collaborates with scholars based in United States, Ireland and New Zealand. Pavan Kapanipathi's co-authors include Kartik Talamadupula, Amit Sheth, Ibrahim Abdelaziz, Achille Fokoue, Maria Chang, Nicholas Mattei, Michael Witbrock, Mo Yu, Alexandre Passant and Tian Gao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IBM Journal of Research and Development and IEEE Internet Computing.

In The Last Decade

Co-authorship network of co-authors of Pavan Kapanipathi i

Fields of papers citing papers by Pavan Kapanipathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pavan Kapanipathi

Since Specialization
Citations

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