Ashutosh Modi

1.3k citations
34 papers · 479 · 1 hit paper · h-index 13

Impact in

Papers in

Ashutosh Modi

32 papers receiving 450 citations

Ashutosh Modi's Hit Papers

SemEval-2023 Task 6: LegalEval - Understanding Legal Texts 2023 · 30 citations
300+1+2Years since publication102030

Peers

Ashutosh Modi
Comparison fields: 5 of 50
  • Artificial Intelligence 382
  • Experimental and Cognitive Psychology 83
  • Computer Vision and Pattern Recognition 74
  • Human-Computer Interaction 16
  • Law 21
Replace Daniele P. Radicioni with:
Daniele P. Radicioni Italy
Katsumi Nitta Japan
Dan Iter United States
Alessandro Mazzei Italy
Gustavo Hernández Ábrego United States
Cigdem Turan Germany
Satoshi Tojo Japan
Silvio Amir Portugal
Maarten Versteegh Netherlands
Sunayana Sitaram India
Ashutosh Modi relative to Daniele P. Radicioni Italy Daniele P. Radicioni's profile →
Citations per field
00.5×5.9×
Daniele P. Radicioni · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Ashutosh Modi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ashutosh Modi Line = papers co-authored together Ashutosh Modi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202275
2 201960
3 201855
4 201638
5 201435
6
SemEval-2023 Task 6: LegalEval - Understanding Legal Texts
Hit paper breakdown →
202330
7
MCScript: A Novel Dataset for Assessing Machine Comprehension Using Script Knowledge
201819
8 201719
9
Unsupervised Induction of Frame-Semantic Representations
201214
10 202214
11 201813
12
Learning Semantic Script Knowledge with Event Embeddings
201413
13 202012
14 201511
15 20169
16 20089
17 20228
18 20247
19 20197
20 20235

About Ashutosh Modi

Ashutosh Modi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Political Science and International Relations, Experimental and Cognitive Psychology and Human-Computer Interaction, having authored 34 papers that have together received 479 indexed citations. Recurring topics across this work include Topic Modeling (16 papers), Natural Language Processing Techniques (13 papers), Sentiment Analysis and Opinion Mining (7 papers), Speech and dialogue systems (4 papers), Advanced Text Analysis Techniques (4 papers), Artificial Intelligence in Law (4 papers), Multimodal Machine Learning Applications (3 papers) and Hearing Impairment and Communication (3 papers). The work is most often cited by research in Artificial Intelligence (382 citations), Experimental and Cognitive Psychology (83 citations), Computer Vision and Pattern Recognition (74 citations), Human-Computer Interaction (16 citations) and Law (21 citations). Ashutosh Modi has collaborated with scholars based in India, Germany and United States. Frequent co-authors include Ivan Titov, Manfred Pinkal, Mubbasir Kapadia, Stefan Thater, Ayush Jain, Pierre Colombo, Michael Roth, James Kennedy, Vera Demberg and Alexandre Klementiev. Their work appears in journals such as Transactions of the Association for Computational Linguistics, IEEE Transactions on Affective Computing, Indian Journal of Science and Technology, Eurosurveillance and Language Resources and Evaluation.

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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