Padmini Srinivasan

123 papers and 2.1k indexed citations i.

About

Padmini Srinivasan is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Padmini Srinivasan has authored 123 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Artificial Intelligence, 38 papers in Information Systems and 22 papers in Molecular Biology. Recurrent topics in Padmini Srinivasan’s work include Topic Modeling (23 papers), Biomedical Text Mining and Ontologies (21 papers) and Advanced Text Analysis Techniques (20 papers). Padmini Srinivasan is often cited by papers focused on Topic Modeling (23 papers), Biomedical Text Mining and Ontologies (21 papers) and Advanced Text Analysis Techniques (20 papers). Padmini Srinivasan collaborates with scholars based in United States, India and United Kingdom. Padmini Srinivasan's co-authors include Gautam Pant, Miguel E. Ruiz, Sanmitra Bhattacharya, Filippo Menczer, S. Sankar, Chao Yang, Philip M. Polgreen, Xin Qiu, Christopher G. Harris and X. Qiu and has published in prestigious journals such as Bioinformatics, PLoS ONE and European Journal of Operational Research.

In The Last Decade

Co-authorship network of co-authors of Padmini Srinivasan i

Fields of papers citing papers by Padmini Srinivasan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Padmini Srinivasan

Since Specialization
Citations

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