Vivek Kumar

419 citations
34 papers · 229 · h-index 8

Impact in

Papers in

Vivek Kumar

28 papers receiving 210 citations

Peers

Vivek Kumar
Comparison fields: 5 of 40
  • Hardware and Architecture 85
  • Computer Vision and Pattern Recognition 96
  • Computer Networks and Communications 94
  • Information Systems 57
  • Artificial Intelligence 50
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Zhiquan Lai China
Tomer Ashur Belgium
Maleen Abeydeera United States
Manpyo Hong South Korea
Benoit Steiner United States
Abid M. Malik United States
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Citations per field
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Citations per year

Countries citing papers authored by Vivek Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Vivek Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A New Method In Image Steganography With Improved Image Quality
201348
2
Left-Luggage Detection using Bayesian Inference
200640
3 201230
4 201421
5 202110
6 201710
7 20128
8 20168
9 20216
10 20165
11 20155
12 20204
13 20154
14 20223
15 20213
16 20213
17 20203
18 20212
19 20212
20 20212

About Vivek Kumar

Vivek Kumar is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 34 papers that have together received 229 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (13 papers), Cloud Computing and Resource Management (8 papers), Distributed and Parallel Computing Systems (7 papers), Advanced Data Storage Technologies (6 papers), Anomaly Detection Techniques and Applications (3 papers), Advanced Steganography and Watermarking Techniques (3 papers), Chaos-based Image/Signal Encryption (3 papers) and Digital Media Forensic Detection (2 papers). The work is most often cited by research in Hardware and Architecture (85 citations), Computer Vision and Pattern Recognition (96 citations), Computer Networks and Communications (94 citations), Information Systems (57 citations) and Artificial Intelligence (50 citations). Vivek Kumar has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Gaurav Gupta, Vivek Sarkar, Stephen M. Blackburn, Daniel Frampton, Bo Wu, Xuefeng Song, Fengjun Lv, Olivier Tardieu, David Grove and Zoran Budimlić. Their work appears in journals such as ACM SIGPLAN Notices, The Journal of Supercomputing, International Journal of Information Technology, International Conference on Bioinformatics and Procedia Computer Science.

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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