Himanshu S. Bhatt

984 citations
27 papers · 669 indexed · h-index 14
Topics
Biometric Identification and Security (14 papers)Face recognition and analysis (13 papers)Face and Expression Recognition (12 papers)
Partner nations
IndiaUnited States

In The Last Decade

Himanshu S. Bhatt

26 papers receiving 628 citations

Peers

Himanshu S. Bhatt
Comparison fields: 5 of 67
  • Computer Vision and Pattern Recognition 523
  • Signal Processing 418
  • Artificial Intelligence 95
  • Information Systems 91
  • Genetics 30
Replace Samarth Bharadwaj with:
Samarth Bharadwaj India
Cunjian Chen United States
Meiling Fang Germany
Raghavender Jillela United States
Shaoxin Li China
Tiago de Freitas Pereira Switzerland
Lacey Best-Rowden United States
Maneet Singh India
Kiran B. Raja Norway
Xunqiang Tao China
Himanshu S. Bhatt relative to Samarth Bharadwaj India Samarth Bharadwaj's profile →
Citations per field
00.5×1.5×
Samarth Bharadwaj · 1×
Citations per year

Countries citing papers authored by Himanshu S. Bhatt

Since Specialization
Citations

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

Fields of papers citing papers by Himanshu S. Bhatt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Himanshu S. Bhatt. 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 Himanshu S. Bhatt. The network helps show where Himanshu S. Bhatt may publish in the future.

Co-authorship network of co-authors of Himanshu S. Bhatt

This figure shows the co-authorship network connecting the top 25 collaborators of Himanshu S. Bhatt. A scholar is included among the top collaborators of Himanshu S. Bhatt 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 Himanshu S. Bhatt. Himanshu S. Bhatt 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 1
2 23
3 11
4
Multi-source iterative adaptation for cross-domain classification
17
5 19
6 45
7 35
8 12
9 3
10 7
11
Memetic approach for matching sketches with digital face images
25
12 5
13 18
14 13
15 119
16 39
17 4
18 70
19 117
20 4

About Himanshu S. Bhatt

Himanshu S. Bhatt is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 27 papers that have together received 669 indexed citations. Recurring topics across this work include Biometric Identification and Security (14 papers), Face recognition and analysis (13 papers) and Face and Expression Recognition (12 papers). The work is most often cited by research in Signal Processing (418 citations), Computer Vision and Pattern Recognition (523 citations) and Information Systems (91 citations). Himanshu S. Bhatt has collaborated with scholars based in India and United States. Frequent co-authors include Mayank Vatsa, Richa Singh, Samarth Bharadwaj, Afzel Noore, Shourya Roy, Nalini Ratha, Sanjay Kumar Singh, Arun Rajkumar, Pushpak Bhattacharyya and Sandipan Dandapat. Their work appears in journals such as IEEE Transactions on Image Processing, Pattern Recognition and Advances in experimental medicine and biology.

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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