Snigdha Chaturvedi

35 papers and 409 indexed citations i.

About

Snigdha Chaturvedi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Science Applications. According to data from OpenAlex, Snigdha Chaturvedi has authored 35 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Computer Science Applications. Recurrent topics in Snigdha Chaturvedi’s work include Topic Modeling (29 papers), Natural Language Processing Techniques (19 papers) and Advanced Text Analysis Techniques (14 papers). Snigdha Chaturvedi is often cited by papers focused on Topic Modeling (29 papers), Natural Language Processing Techniques (19 papers) and Advanced Text Analysis Techniques (14 papers). Snigdha Chaturvedi collaborates with scholars based in United States, India and United Kingdom. Snigdha Chaturvedi's co-authors include Hal Daumé, Dan Roth, Mohit Iyyer, Haoruo Peng, Shashank Srivastava, Jordan Boyd‐Graber, Tom M. Mitchell, Chen-Tse Tsai, Chris Dyer and Chao Zhao and has published in prestigious journals such as Computer Graphics Forum, Transactions of the Association for Computational Linguistics and Journal of the Association for Information Science and Technology.

In The Last Decade

Co-authorship network of co-authors of Snigdha Chaturvedi i

Fields of papers citing papers by Snigdha Chaturvedi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Snigdha Chaturvedi

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025