Avirup Sil

1.3k citations
32 papers · 575 · h-index 13

Impact in

Papers in

Avirup Sil

31 papers receiving 538 citations

Peers

Avirup Sil
Comparison fields: 5 of 43
  • Artificial Intelligence 537
  • Management Science and Operations Research 80
  • Information Systems 91
  • Computer Vision and Pattern Recognition 53
  • General Social Sciences 6
Replace Johannes Deleu with:
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Avirup Sil relative to Johannes Deleu Belgium Johannes Deleu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Avirup Sil

Since Specialization
Citations

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

Fields of papers citing papers by Avirup Sil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Avirup Sil, 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 Avirup Sil Line = papers co-authored together Avirup Sil links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201686
2 201970
3 201368
4 202257
5 201944
6 201842
7 201724
8
Extracting Action and Event Semantics from Web Text
201020
9
Extracting STRIPS Representations of Actions and Events
201119
10
Linking Named Entities to Any Database
201218
11 202117
12 202313
13 202213
14
The IBM Systems for Trilingual Entity Discovery and Linking at TAC 2015.
201510
15 201710
16 20149
17
The MSR Systems for Entity Linking and Temporal Slot Filling at TAC 2013.
20138
18 20227
19
Automatic Grading of Scientific Inquiry
20125
20
Cross-lingual Structure Transfer for Zero-resource Event Extraction
20205

About Avirup Sil

Avirup Sil is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Management Science and Operations Research, Computer Networks and Communications and Molecular Biology, having authored 32 papers that have together received 575 indexed citations. Recurring topics across this work include Topic Modeling (28 papers), Natural Language Processing Techniques (23 papers), Semantic Web and Ontologies (6 papers), Multimodal Machine Learning Applications (5 papers), Data Quality and Management (3 papers), Text and Document Classification Technologies (3 papers), Web Data Mining and Analysis (2 papers) and Adversarial Robustness in Machine Learning (2 papers). The work is most often cited by research in Artificial Intelligence (537 citations), Management Science and Operations Research (80 citations), Information Systems (91 citations), Computer Vision and Pattern Recognition (53 citations) and General Social Sciences (6 citations). Avirup Sil has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Alexander Yates, Heng Ji, Radu Florian, Tongtao Zhang, Clare R. Voss, Lin Pan, Gourab Kundu, Wael Hamza, Lifu Huang and Chung-Wei Hang. Their work appears in journals such as Theory and applications of categories, Transactions of the Association for Computational Linguistics, Data Intelligence, Language Resources and Evaluation and North American Chapter of the Association for Computational Linguistics.

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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