Shilad Sen

4.4k citations
38 papers · 1.5k indexed · h-index 19

Impact in

Papers in

Shilad Sen

38 papers receiving 1.4k citations

Peers

Shilad Sen
Comparison fields: 5 of 92
  • Communication 264
  • Information Systems 848
  • Computer Science Applications 198
  • Artificial Intelligence 614
  • Computer Vision and Pattern Recognition 291
Replace Ido Guy with:
Ido Guy Israel
Liangjie Hong United States
Shyong K. Lam United States
Claudia Hauff Netherlands
Hady W. Lauw Singapore
Al Mamunur Rashid United States
Inbal Ronen Israel
Kushal Dave India
Pavel Serdyukov Russia
Martin Potthast Germany
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Citations per field
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Citations per year

Countries citing papers authored by Shilad Sen

Since Specialization
Citations

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

Fields of papers citing papers by Shilad Sen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20241
3 20235
4 20206
5 20193
6 201722
7 201730
8 201673
9
Towards domain-specific semantic relatedness: a case study from geography
20151
10 201214
11 201223
12 20112
13 2011135
14 201012
15 2009185
16 2009206
17 200712
18 200758
19 2006273
20 200652

About Shilad Sen

Shilad Sen is a scholar working on Communication, Geography, Planning and Development, Information Systems, Computer Science Applications and Artificial Intelligence, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (14 papers), Wikis in Education and Collaboration (8 papers), Video Analysis and Summarization (6 papers), Geographic Information Systems Studies (6 papers), Web Data Mining and Analysis (5 papers), Semantic Web and Ontologies (5 papers), Biomedical Text Mining and Ontologies (4 papers) and Mobile Crowdsensing and Crowdsourcing (4 papers). The work is most often cited by research in Communication (264 citations), Information Systems (848 citations), Computer Science Applications (198 citations), Artificial Intelligence (614 citations) and Computer Vision and Pattern Recognition (291 citations). Shilad Sen has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include John Riedl, Jesse Vig, Shyong K. Lam, F. Maxwell Harper, Dan Frankowski, Loren Terveen, Dan Cosley, Chad M. Topaz, Al Mamunur Rashid and David R. Musicant. Their work appears in journals such as ACM Transactions on Interactive Intelligent Systems, PLoS ONE, Proceedings of the ACM on Human-Computer Interaction, Annals of the American Association of Geographers and Computer.

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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