Ashutosh Modi

1.3k total citations · 1 hit paper
34 papers, 479 citations indexed

About

Ashutosh Modi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Political Science and International Relations. According to data from OpenAlex, Ashutosh Modi has authored 34 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Political Science and International Relations. Recurrent topics in Ashutosh Modi's work include Topic Modeling (16 papers), Natural Language Processing Techniques (13 papers) and Sentiment Analysis and Opinion Mining (7 papers). Ashutosh Modi is often cited by papers focused on Topic Modeling (16 papers), Natural Language Processing Techniques (13 papers) and Sentiment Analysis and Opinion Mining (7 papers). Ashutosh Modi collaborates with scholars based in India, Germany and United States. Ashutosh Modi's co-authors include Ivan Titov, Manfred Pinkal, Mubbasir Kapadia, Ayush Jain, Michael Roth, Stefan Thater, Pierre Colombo, James Kennedy, Vera Demberg and Alexandre Klementiev and has published in prestigious journals such as Eurosurveillance, IEEE Transactions on Affective Computing and Language Resources and Evaluation.

In The Last Decade

Ashutosh Modi

32 papers receiving 450 citations

Hit Papers

SemEval-2023 Task 6: LegalEval - Understanding Legal Texts 2023 2026 2024 2025 2023 10 20 30
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. SemEval-2023 Task 6: LegalEval - Understanding Legal Texts
    2023 30 citations Ashutosh Modi et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ashutosh Modi India 13 382 83 74 49 23 34 479
Katsumi Nitta Japan 9 172 0.5× 28 0.3× 32 0.4× 26 0.5× 41 1.8× 70 287
Daniele P. Radicioni Italy 11 211 0.6× 14 0.2× 45 0.6× 41 0.8× 6 0.3× 51 304
Alessandro Mazzei Italy 11 299 0.8× 9 0.1× 17 0.2× 48 1.0× 5 0.2× 69 354
Dan Iter United States 7 294 0.8× 24 0.3× 58 0.8× 8 0.2× 15 0.7× 16 476
Gustavo Hernández Ábrego United States 6 473 1.2× 9 0.1× 129 1.7× 14 0.3× 14 0.6× 8 572
Cigdem Turan Hong Kong 8 111 0.3× 101 1.2× 126 1.7× 4 0.1× 36 1.6× 11 347
Sunayana Sitaram India 12 391 1.0× 35 0.4× 20 0.3× 5 0.1× 4 0.2× 57 464
Silvio Amir Portugal 8 486 1.3× 13 0.2× 62 0.8× 6 0.1× 20 0.9× 17 539
Satoshi Tojo Japan 11 154 0.4× 10 0.1× 153 2.1× 59 1.2× 4 0.2× 89 358
John K. Pate Australia 7 234 0.6× 62 0.7× 28 0.4× 4 0.1× 11 0.5× 16 338

Countries citing papers authored by Ashutosh Modi

Since Specialization
Citations

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

Fields of papers citing papers by Ashutosh Modi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashutosh Modi

This figure shows the co-authorship network connecting the top 25 collaborators of Ashutosh Modi. A scholar is included among the top collaborators of Ashutosh Modi 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 Ashutosh Modi. Ashutosh Modi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mangla, A., et al.. (2024). iSign: A Benchmark for Indian Sign Language Processing. 10827–10844. 2 indexed citations
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Singh, Sukhdev, et al.. (2024). Towards Measuring and Modeling “Culture” in LLMs: A Survey. 15763–15784. 7 indexed citations
4.
Goyal, Pawan, et al.. (2024). IL-TUR: Benchmark for Indian Legal Text Understanding and Reasoning. 11460–11499. 3 indexed citations
5.
Kumar, Rahul, et al.. (2024). BookSQL: A Large Scale Text-to-SQL Dataset for Accounting Domain. 497–516. 2 indexed citations
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Modi, Ashutosh, et al.. (2023). U-CREAT: Unsupervised Case Retrieval using Events extrAcTion. 13899–13915. 5 indexed citations
9.
Modi, Ashutosh, et al.. (2023). ScriptWorld: Text Based Environment for Learning Procedural Knowledge. 5095–5103. 1 indexed citations
10.
Modi, Ashutosh, et al.. (2023). SemEval-2023 Task 6: LegalEval - Understanding Legal Texts. 2362–2374. 30 indexed citations breakdown →
11.
Modi, Ashutosh, et al.. (2023). ASR for Low Resource and Multilingual Noisy Code-Mixed Speech. 3242–3246. 2 indexed citations
12.
Bhattacharya, Arnab, et al.. (2022). HLDC: Hindi Legal Documents Corpus. Findings of the Association for Computational Linguistics: ACL 2022. 3521–3536. 14 indexed citations
13.
Jain, Ayush, et al.. (2022). COGMEN: COntextualized GNN based Multimodal Emotion recognitioN. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 4148–4164. 75 indexed citations
14.
Modi, Ashutosh, et al.. (2022). CISLR: Corpus for Indian Sign Language Recognition. 10357–10366. 8 indexed citations
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16.
Modi, Ashutosh, et al.. (2019). Domain Authoring Assistant for Intelligent Virtual Agent. arXiv (Cornell University). 104–112. 7 indexed citations
17.
Colombo, Pierre, et al.. (2019). Affect-Driven Dialog Generation. 3734–3743. 60 indexed citations
18.
Modi, Ashutosh, et al.. (2018). MCScript: A Novel Dataset for Assessing Machine Comprehension Using Script Knowledge. Language Resources and Evaluation. 19 indexed citations
19.
Rudinger, Rachel, Vera Demberg, Ashutosh Modi, Benjamin Van Durme, & Manfred Pinkal. (2015). Learning to predict script events from domain-specific text. 205–210. 11 indexed citations
20.
Modi, Ashutosh, Ivan Titov, & Alexandre Klementiev. (2012). Unsupervised Induction of Frame-Semantic Representations. North American Chapter of the Association for Computational Linguistics. 1–7. 14 indexed citations

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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