Vishwa Gupta

45 papers receiving 513 citations

Peers

Vishwa Gupta
Comparison fields: 5 of 38
  • Signal Processing 469
  • Artificial Intelligence 427
  • Computer Vision and Pattern Recognition 155
  • Experimental and Cognitive Psychology 11
  • Information Systems 10
Replace Hee-Soo Heo with:
Hee-Soo Heo South Korea
Laurent Besacier France
Jee-weon Jung South Korea
Hemlata Tak France
Roland Auckenthaler United Kingdom
Sergey Novoselov Russia
Federico Alegre France
V. Gupta Canada
Cheung-Chi Leung Singapore
Fabio Castaldo Italy
Vishwa Gupta relative to Hee-Soo Heo South Korea Hee-Soo Heo's profile →
Citations per field
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Hee-Soo Heo · 1×
Citations per year

Countries citing papers authored by Vishwa Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Vishwa Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vishwa Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Vishwa Gupta. A scholar is included among the top collaborators of Vishwa Gupta based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vishwa Gupta. Vishwa Gupta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Speech Transcription Challenges for Resource Constrained Indigenous Language Cree
5
2
Automatic Transcription Challenges for Inuktitut, a Low-Resource Polysynthetic Language
4
3 1
4 11
5 8
6 21
7 82
8 2
9 11
10
CRIM AT TRECVID-2011: CONTENT-BASED COPY DETECTION USING NEAREST-NEIGHBOR MAPPING
8
11 10
12 12
13
CRIM's content-based copy detection system for TRECVID
18
14
The role of speaker factors in the NIST extended data task.
9
15 8
16 19
17 2
18 7
19 8
20 1

About Vishwa Gupta

Vishwa Gupta is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 45 papers that have together received 589 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (27 papers), Music and Audio Processing (26 papers) and Speech and Audio Processing (18 papers). The work is most often cited by research in Signal Processing (469 citations), Artificial Intelligence (427 citations) and Computer Vision and Pattern Recognition (155 citations). Vishwa Gupta has collaborated with scholars based in Canada, France and United States. Frequent co-authors include Patrick Kenny, Themos Stafylakis, Pierre Ouellet, Jahangir Alam, Gilles Boulianne, Pierre Dumouchel, Patrick Cardinal, Langis Gagnon, Gautam Bhattacharya and Jianxiong Wu. Their work appears in journals such as The Journal of the Acoustical Society of America, Speech Communication and Multimedia Tools and Applications.

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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