Vinija Jain

461 total citations
11 papers, 28 citations indexed

About

Vinija Jain is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Vinija Jain has authored 11 papers receiving a total of 28 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Vinija Jain's work include Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and Image and Signal Denoising Methods (1 paper). Vinija Jain is often cited by papers focused on Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and Image and Signal Denoising Methods (1 paper). Vinija Jain collaborates with scholars based in United States, India and Singapore. Vinija Jain's co-authors include Aman Chadha, Sriparna Saha, Nishith Reddy Mannuru, Tamoghna Roy, Fatemeh Jamshidi, Lauramarie Pope, Mary J. Sandage, Kokil Jaidka, Arpita Vats and Cheryl Seals and has published in prestigious journals such as IEEE Access, arXiv (Cornell University) and Proceedings of the International AAAI Conference on Web and Social Media.

In The Last Decade

Vinija Jain

8 papers receiving 26 citations

Peers

Vinija Jain
Nino Vieillard United States
Freda Shi United States
Michael Tieu United States
Geoffrey Cideron France
Anthony Ferritto United States
Orevaoghene Ahia United States
Albert Q. Jiang Austria
S. Falk Germany
Gregor Koehler Germany
J. Moon South Korea
Nino Vieillard United States
Vinija Jain
Citations per year, relative to Vinija Jain Vinija Jain (= 1×) peers Nino Vieillard

Countries citing papers authored by Vinija Jain

Since Specialization
Citations

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

Fields of papers citing papers by Vinija Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vinija Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Vinija Jain. A scholar is included among the top collaborators of Vinija Jain based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vinija Jain. Vinija Jain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
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Jaidka, Kokil, et al.. (2025). PHAnToM: Persona-Based Prompting Has an Effect on Theory-of-Mind Reasoning in Large Language Models. Proceedings of the International AAAI Conference on Web and Social Media. 19. 2124–2142. 1 indexed citations
4.
Chadha, Aman, et al.. (2025). How Culturally Aware Are Vision-Language Models?. 1–6. 1 indexed citations
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Jain, Vinija, et al.. (2025). Refining Text-to-Image Generation: Towards Accurate Training-Free Glyph-Enhanced Image Generation. 4372–4381. 2 indexed citations
6.
Saha, Sriparna, et al.. (2024). A Comprehensive Survey of Hallucination in Large Language, Image, Video and Audio Foundation Models. 11709–11724. 9 indexed citations
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Jamshidi, Fatemeh, Vinija Jain, Aman Chadha, et al.. (2024). OffensiveLang: A Community Based Implicit Offensive Language Dataset. IEEE Access. 1–1. 1 indexed citations
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Saha, Sriparna, et al.. (2024). A Comprehensive Survey of Hallucination in Large Language, Image, Video and Audio Foundation Models. arXiv (Cornell University). 1 indexed citations
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Mannuru, Nishith Reddy, et al.. (2024). Cause and Effect: Can Large Language Models Truly Understand Causality?. Proceedings of the AAAI Symposium Series. 4(1). 2–9. 7 indexed citations
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Jain, Vinija, et al.. (2024). Decoding the Diversity: A Review of the Indic AI Research Landscape. arXiv (Cornell University).
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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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2026