Hema Raghavan

15 papers and 296 indexed citations i.

About

Hema Raghavan is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Hema Raghavan has authored 15 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 4 papers in Information Systems and 1 paper in Molecular Biology. Recurrent topics in Hema Raghavan’s work include Natural Language Processing Techniques (6 papers), Topic Modeling (6 papers) and Advanced Text Analysis Techniques (4 papers). Hema Raghavan is often cited by papers focused on Natural Language Processing Techniques (6 papers), Topic Modeling (6 papers) and Advanced Text Analysis Techniques (4 papers). Hema Raghavan collaborates with scholars based in United States, Japan and United Kingdom. Hema Raghavan's co-authors include Omid Madani, Rosie Jones, James Allan, Vittorio Castelli, Claire Cardie, Lu Wang, Radu Florian, Dustin Hillard, Eren Manavoglu and Stefan Schroedl and has published in prestigious journals such as Journal of Machine Learning Research, ACM Transactions on Knowledge Discovery from Data and Information Retrieval.

In The Last Decade

Co-authorship network of co-authors of Hema Raghavan i

Fields of papers citing papers by Hema Raghavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hema Raghavan

Since Specialization
Citations

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