Radhika Mamidi

About

Radhika Mamidi is a scholar working on Artificial Intelligence, Sociology and Political Science and Social Psychology. According to data from OpenAlex, Radhika Mamidi has authored 37 papers receiving a total of 135 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 6 papers in Sociology and Political Science and 3 papers in Social Psychology. Recurrent topics in Radhika Mamidi’s work include Topic Modeling (20 papers), Natural Language Processing Techniques (16 papers) and Sentiment Analysis and Opinion Mining (12 papers). Radhika Mamidi is often cited by papers focused on Topic Modeling (20 papers), Natural Language Processing Techniques (16 papers) and Sentiment Analysis and Opinion Mining (12 papers). Radhika Mamidi collaborates with scholars based in India and United States. Radhika Mamidi's co-authors include Rajeev Sangal, Arjun Akula, Dipti Misra Sharma, Manish Shrivastava, Kshitij Gupta, Harika Abburi and Vasudeva Varma and has published in prestigious journals such as ACM Computing Surveys, Language Resources and Evaluation and Computer Speech & Language.

In The Last Decade

Co-authorship network of co-authors of Radhika Mamidi i

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Fields of papers citing papers by Radhika Mamidi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Radhika Mamidi

Since Specialization

Citations

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