Kishore Papineni

8 papers and 134 indexed citations i.

About

Kishore Papineni is a scholar working on Artificial Intelligence, Computer Networks and Communications and Management Science and Operations Research. According to data from OpenAlex, Kishore Papineni has authored 8 papers receiving a total of 134 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 1 paper in Computer Networks and Communications and 1 paper in Management Science and Operations Research. Recurrent topics in Kishore Papineni’s work include Natural Language Processing Techniques (5 papers), Topic Modeling (4 papers) and Text Readability and Simplification (2 papers). Kishore Papineni is often cited by papers focused on Natural Language Processing Techniques (5 papers), Topic Modeling (4 papers) and Text Readability and Simplification (2 papers). Kishore Papineni collaborates with scholars based in United States. Kishore Papineni's co-authors include Yaser Al-Onaizan, R. Preston McAfee, Sergei Vassilvitskii, Fei Huang, Gonçalo Simões, Michał Łukasik, Salim Roukos, Tomás Ward, S. Dharanipragada and Martin Franz and has published in prestigious journals such as Language Resources and Evaluation, Information Systems and e-Business Management and Review of Economic Design.

In The Last Decade

Co-authorship network of co-authors of Kishore Papineni i

Fields of papers citing papers by Kishore Papineni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kishore Papineni

Since Specialization
Citations

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