Tejaswini Pedapati

About

Tejaswini Pedapati is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Tejaswini Pedapati has authored 10 papers receiving a total of 85 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Tejaswini Pedapati’s work include Explainable Artificial Intelligence (XAI) (3 papers), Machine Learning and Data Classification (3 papers) and Neural Networks and Applications (2 papers). Tejaswini Pedapati is often cited by papers focused on Explainable Artificial Intelligence (XAI) (3 papers), Machine Learning and Data Classification (3 papers) and Neural Networks and Applications (2 papers). Tejaswini Pedapati collaborates with scholars based in United States, Canada and Ireland. Tejaswini Pedapati's co-authors include Srinivasan Parthasarathy, Peter J. Haas, Çağatay Demiralp, Ambrish Rawat, Brian Kingsbury, Martin Wistuba, Djallel Bouneffouf, Nalini Ratha, Kush R. Varshney and Beat Buesser and has published in prestigious journals such as Nature Communications, Proceedings of the VLDB Endowment and IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

In The Last Decade

Co-authorship network of co-authors of Tejaswini Pedapati i

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Fields of papers citing papers by Tejaswini Pedapati

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tejaswini Pedapati

Since Specialization

Citations

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