Vinay D. Shet

1.3k citations
20 papers · 579 · h-index 9

Impact in

Papers in

Journals
International Journal of Computer Vision (1 paper)Lecture notes in computer science (2 papers)Studies in computational intelligence (1 paper)Frontiers in artificial intelligence and applications (1 paper)International symposium on image and signal processing and analysis/ISPA ... (1 paper)
Partner nations
United StatesGermany

In The Last Decade

Vinay D. Shet

20 papers receiving 562 citations

Peers

Vinay D. Shet
Comparison fields: 5 of 25
  • Computer Vision and Pattern Recognition 361
  • Human-Computer Interaction 24
  • Artificial Intelligence 35
  • Experimental and Cognitive Psychology 7
  • Computer Networks and Communications 8
Replace Weihan Chen with:
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Vinay D. Shet relative to Weihan Chen China Weihan Chen's profile →
Citations per field
00.5×2×3.2×
Weihan Chen · 1×
Citations per year

Countries citing papers authored by Vinay D. Shet

Since Specialization
Citations

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

Fields of papers citing papers by Vinay D. Shet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vinay D. Shet. 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 Vinay D. Shet. The network helps show where Vinay D. Shet may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2015109
2 200388
3 200786
4 201373
5 200671
6 201552
7 200627
8 201014
9
Multi-Cue Exemplar-Based Nonparametric Model for Gesture Recognition.
200412
10 20129
11 20048
12 20096
13 20106
14 20185
15 20063
16 20042
17
Multivalued Default Logic for Identity Maintenance in Visual Surveillance
20062
18 20092
19 20122
20 20122

About Vinay D. Shet

Vinay D. Shet is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Artificial Intelligence, Molecular Biology and Nuclear Energy and Engineering, having authored 20 papers that have together received 579 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (8 papers), Hand Gesture Recognition Systems (4 papers), Logic, Reasoning, and Knowledge (2 papers), Biomedical Text Mining and Ontologies (1 paper) and Advanced Neural Network Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (361 citations), Human-Computer Interaction (24 citations), Artificial Intelligence (35 citations), Experimental and Cognitive Psychology (7 citations) and Computer Networks and Communications (8 citations). Vinay D. Shet has collaborated with scholars based in United States and Germany. Frequent co-authors include Larry Steven Davis, L.S. Davis, Cheng-Hao Kuo, Sameh Khamis, David Harwood, Visvanathan Ramesh, Ahmed Elgammal, Yaser Yacoob, Jan Neumann and Vivek Kumar Singh. Their work appears in journals such as International Journal of Computer Vision, Lecture notes in computer science, Studies in computational intelligence, Frontiers in artificial intelligence and applications and International symposium on image and signal processing and analysis/ISPA ....

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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