Arvind Selwal

997 citations
59 papers · 542 · h-index 13

Impact in

Papers in

Arvind Selwal

51 papers receiving 526 citations

Peers

Arvind Selwal
Comparison fields: 5 of 73
  • Signal Processing 226
  • Computer Vision and Pattern Recognition 188
  • Computer Networks and Communications 184
  • Information Systems 173
  • Safety Research 54
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Hishammuddin Asmuni Malaysia
Vinayak Ashok Bharadi India
Shimon Modi United States
Brian J. Matt United States
Christian Gehl Germany
Zia Saquib India
Seyed Mehdi Hazrati Fard Iran
Harry Chandra Tanuwidjaja South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Arvind Selwal

Since Specialization
Citations

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

Fields of papers citing papers by Arvind Selwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Arvind Selwal, 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 Arvind Selwal Line = papers co-authored together Arvind Selwal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202091
2 202043
3 202043
4 202137
5 202126
6 202121
7 202121
8 202020
9 202318
10 201816
11 201614
12 202013
13 202312
14 202312
15 202511
16 201711
17 201610
18 20219
19 20219
20 20208

About Arvind Selwal

Arvind Selwal is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Information Systems, Computer Networks and Communications and Safety Research, having authored 59 papers that have together received 542 indexed citations. Recurring topics across this work include Biometric Identification and Security (26 papers), User Authentication and Security Systems (19 papers), Advanced Steganography and Watermarking Techniques (13 papers), Digital Media Forensic Detection (10 papers), Forensic Fingerprint Detection Methods (7 papers), Face recognition and analysis (6 papers), Human Pose and Action Recognition (5 papers) and Forensic and Genetic Research (4 papers). The work is most often cited by research in Signal Processing (226 citations), Computer Vision and Pattern Recognition (188 citations), Computer Networks and Communications (184 citations), Information Systems (173 citations) and Safety Research (54 citations). Arvind Selwal has collaborated with scholars based in India, Taiwan and Romania. Frequent co-authors include Yashwant Singh, Pooja Anand, Pradeep Kumar Singh, Sudeep Tanwar, Nagesh Kumar, Mamoun Alazab, Neeraj Kumar, Sunil Kumar Gupta, Wei‐Chiang Hong and Raluca‐Andreea Felseghi. Their work appears in journals such as Multimedia Tools and Applications, Computer Science Review, Archives of Computational Methods in Engineering, Engineering Applications of Artificial Intelligence and Journal of Ambient Intelligence and Humanized Computing.

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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