Sanjay Kumar

1.7k citations
65 papers · 1.1k · 1 hit paper · h-index 16

Impact in

Papers in

Sanjay Kumar

60 papers receiving 1000 citations

Sanjay Kumar's Hit Papers

Generative artificial intelligence: a systematic review and applications 2024 · 193 citations
1930+1Years since publication50100150

Peers

Sanjay Kumar
Comparison fields: 5 of 124
  • Computer Vision and Pattern Recognition 418
  • Health Informatics 27
  • Media Technology 87
  • Artificial Intelligence 221
  • Ocean Engineering 85
Replace Divya Saxena with:
Divya Saxena Hong Kong
Rafael M. Martins Sweden
Kamil Dimililer Cyprus
Yuqi Huo China
Yichao Zhou China
Ciro Castiello Italy
Subrota Kumar Mondal Macao
Jiawei Zhang China
Vaishak Belle United Kingdom
Xingjiao Wu China
Sanjay Kumar relative to Divya Saxena Hong Kong Divya Saxena's profile →
Citations per field
00.5×2×2.6×
Divya Saxena · 1×
Citations per year

Countries citing papers authored by Sanjay Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sanjay Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Generative artificial intelligence: a systematic review and applications
Hit paper breakdown →
2024193
2 200799
3 202195
4 202072
5 200769
6 202068
7 201649
8 202147
9 202041
10 201133
11 200929
12 202129
13 201623
14 201722
15 202120
16 201616
17 202314
18 202014
19 202414
20 202414

About Sanjay Kumar

Sanjay Kumar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Computer Networks and Communications and Signal Processing, having authored 65 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (15 papers), Chaos-based Image/Signal Encryption (12 papers), Digital Media Forensic Detection (9 papers), IoT-based Smart Home Systems (4 papers), User Authentication and Security Systems (4 papers), Advanced Data Compression Techniques (3 papers), Image Retrieval and Classification Techniques (3 papers) and Reservoir Engineering and Simulation Methods (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (418 citations), Health Informatics (27 citations), Media Technology (87 citations), Artificial Intelligence (221 citations) and Ocean Engineering (85 citations). Sanjay Kumar has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Binod Kumar Singh, Sandeep Singh Sengar, Fiona Carroll, Swades Kumar Chaulya, Vinay Kumar, Bhola Ishwar, Mohit Yadav, Nitin Khanna, Rahul Gupta and Shashank Joshi. Their work appears in journals such as Multimedia Tools and Applications, Microelectronic Engineering, IEEE Transactions on Computational Social Systems, Process Safety and Environmental Protection and Biofuels.

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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