Swabha Swayamdipta

32 papers and 2.1k indexed citations i.

About

Swabha Swayamdipta is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and General Social Sciences. According to data from OpenAlex, Swabha Swayamdipta has authored 32 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 2 papers in General Social Sciences. Recurrent topics in Swabha Swayamdipta’s work include Topic Modeling (25 papers), Natural Language Processing Techniques (24 papers) and Multimodal Machine Learning Applications (5 papers). Swabha Swayamdipta is often cited by papers focused on Topic Modeling (25 papers), Natural Language Processing Techniques (24 papers) and Multimodal Machine Learning Applications (5 papers). Swabha Swayamdipta collaborates with scholars based in United States, Israel and Japan. Swabha Swayamdipta's co-authors include Noah A. Smith, Suchin Gururangan, Doug Downey, Iz Beltagy, Ana Marasović, Kyle Lo, Roy Schwartz, Yejin Choi, Omer Levy and Maarten Sap and has published in prestigious journals such as CiteSeer X (The Pennsylvania State University), OPAL (Open@LaTrobe) (La Trobe University) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Swabha Swayamdipta i

Fields of papers citing papers by Swabha Swayamdipta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Swabha Swayamdipta

Since Specialization
Citations

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