Mahima Pushkarna

9 papers and 372 indexed citations i.

About

Mahima Pushkarna is a scholar working on Artificial Intelligence, Safety Research and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Mahima Pushkarna has authored 9 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Safety Research and 1 paper in Public Health, Environmental and Occupational Health. Recurrent topics in Mahima Pushkarna’s work include Topic Modeling (5 papers), Explainable Artificial Intelligence (XAI) (4 papers) and Natural Language Processing Techniques (3 papers). Mahima Pushkarna is often cited by papers focused on Topic Modeling (5 papers), Explainable Artificial Intelligence (XAI) (4 papers) and Natural Language Processing Techniques (3 papers). Mahima Pushkarna collaborates with scholars based in United States and United Kingdom. Mahima Pushkarna's co-authors include Tolga Bolukbasi, James Wexler, Fernanda Viégas, Martin Wattenberg, Andrew Zaldivar, Oddur Kjartansson, Ian Tenney, Emily Reif, Jasmijn Bastings and Ellen Jiang and has published in prestigious journals such as Communications of the ACM, IEEE Transactions on Visualization and Computer Graphics and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Mahima Pushkarna i

Fields of papers citing papers by Mahima Pushkarna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mahima Pushkarna

Since Specialization
Citations

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