Vinay Kumar Pathak

954 citations
91 papers · 686 · h-index 15

Impact in

Papers in

Vinay Kumar Pathak

82 papers receiving 645 citations

Peers

Vinay Kumar Pathak
Comparison fields: 5 of 104
  • Health Informatics 12
  • Signal Processing 94
  • Infectious Diseases 127
  • Computer Vision and Pattern Recognition 159
  • Organic Chemistry 106
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Dan Han China
Richa Verma India
Jingjing Deng United Kingdom
Jelili O. Oyelade Nigeria
Szilárd Vajda United States
Christian Wolfgang Feldmann Germany
Itunuoluwa Isewon Nigeria
Ho Bae South Korea
Chee-Keong Kwoh Singapore
K. V. Prema India
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Citations per field
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Citations per year

Countries citing papers authored by Vinay Kumar Pathak

Since Specialization
Citations

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

Fields of papers citing papers by Vinay Kumar Pathak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202152
2 201350
3 201442
4 201826
5 201223
6 201923
7 201722
8 200720
9 200919
10 202219
11 201418
12 201617
13 201017
14 202217
15 201015
16 200915
17 202113
18 201512
19 201212
20 200911

About Vinay Kumar Pathak

Vinay Kumar Pathak is a scholar working on Computer Vision and Pattern Recognition, Infectious Diseases, Signal Processing, Computer Networks and Communications and Epidemiology, having authored 91 papers that have together received 686 indexed citations. Recurring topics across this work include Leprosy Research and Treatment (16 papers), Face and Expression Recognition (10 papers), Advanced Steganography and Watermarking Techniques (10 papers), Mycobacterium research and diagnosis (10 papers), Biometric Identification and Security (9 papers), Digital Media Forensic Detection (8 papers), Chaos-based Image/Signal Encryption (7 papers) and Advanced Optical Network Technologies (5 papers). The work is most often cited by research in Health Informatics (12 citations), Signal Processing (94 citations), Infectious Diseases (127 citations), Computer Vision and Pattern Recognition (159 citations) and Organic Chemistry (106 citations). Vinay Kumar Pathak has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include Malay Kishore Dutta, Phalguni Gupta, Atul Kumar Gupta, Utpal Sengupta, Itu Singh, Vivek Prakash Srivastava, Kishore Kumar Srivastava, Bipin Kumar Tripathi, Hardesh Kumar Maurya and Ravindra P. Turankar. Their work appears in journals such as Scientific Reports, Infection Genetics and Evolution, RSC Advances, Planta Medica and Bioorganic & Medicinal Chemistry Letters.

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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