Abhinav Gupta

4.1k citations
73 papers · 1.4k indexed · h-index 16

Abhinav Gupta

67 papers receiving 1.3k citations

Peers

Abhinav Gupta
Comparison fields: 5 of 111
  • Computer Vision and Pattern Recognition 1.1k
  • Human-Computer Interaction 81
  • Artificial Intelligence 466
  • Computational Mathematics 4
  • Media Technology 54
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Citations per field
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Citations per year

Countries citing papers authored by Abhinav Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Abhinav Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 202433
4 20232
5 20215
6 202019
7 20180
8 20181
9 20171
10 201543
11
BBN VISER TRECVID 2014 Multimedia Event Detection and Multimedia Event Recounting Systems.
20146
12
BBN VISER TRECVID 2013 Multimedia Event Detection and Multimedia Event Recounting Systems
201314
13
BBNVISER : BBN VISER TRECVID 2012 Multimedia Event Detection and Multimedia Event Recounting Systems.
201213
14 201189
15
Ethambutol-induced toxic epidermal necrolysis.
20111
16 201013
17 2009144
18 2009325
19
Image Processing Methods for the Restoration of Digitized Paintings
200815
20 200714

About Abhinav Gupta

Abhinav Gupta is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Business and International Management, having authored 73 papers that have together received 1.4k indexed citations. Recurring topics across this work include Digital Media Forensic Detection (13 papers), Human Pose and Action Recognition (12 papers), Advanced Steganography and Watermarking Techniques (11 papers), Generative Adversarial Networks and Image Synthesis (7 papers), Video Surveillance and Tracking Methods (6 papers), Anomaly Detection Techniques and Applications (6 papers), Advanced Vision and Imaging (6 papers) and Image Enhancement Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Human-Computer Interaction (81 citations) and Artificial Intelligence (466 citations). Abhinav Gupta has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Larry S. Davis, L.S. Davis, Aniruddha Kembhavi, P. Srinivasan, Jianbo Shi, Tomasz Malisiewicz, Alexei A. Efros, Abhinav Sadu, Mikel Rodríguez and Arpit Jain. Their work appears in journals such as Multimedia Tools and Applications, ACM Transactions on Multimedia Computing Communications and Applications, Immunology, Journal of Clinical Monitoring and Computing and Knowledge-Based Systems.

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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