Arunava Roy

827 citations
33 papers · 414 · h-index 12

Impact in

    • Advanced Malware Detection Techniques
    • Biometric Identification and Security
  • Software top 10%
    • Software Reliability and Analysis Research

Papers in

Arunava Roy

32 papers receiving 399 citations

Peers

Arunava Roy
Comparison fields: 5 of 71
  • Signal Processing 100
  • Software 35
  • Information Systems 205
  • Computer Networks and Communications 128
  • Computer Vision and Pattern Recognition 65
Replace Reza Ravanmehr with:
Reza Ravanmehr Iran
Ridha Khédri Canada
Myungho Lee South Korea
Hayri Sever Türkiye
Rinkaj Goyal India
Gilad Katz Israel
Rizwana Irfan Pakistan
Sara Shahzad Pakistan
Mohammad Masum United States
Arunava Roy relative to Reza Ravanmehr Iran Reza Ravanmehr's profile →
Citations per field
00.5×3.4×
Reza Ravanmehr · 1×
Citations per year

Countries citing papers authored by Arunava Roy

Since Specialization
Citations

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

Fields of papers citing papers by Arunava Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Arunava Roy, 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 Arunava Roy Line = papers co-authored together Arunava Roy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201983
2 201655
3 201734
4 202133
5 201331
6 201416
7 201513
8 201713
9 201512
10 201712
11 202112
12 202011
13 20209
14 20209
15 20148
16 20238
17 20178
18 20238
19 20095
20 20175

About Arunava Roy

Arunava Roy is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Artificial Intelligence, Signal Processing and Computer Networks and Communications, having authored 33 papers that have together received 414 indexed citations. Recurring topics across this work include Software Reliability and Analysis Research (6 papers), User Authentication and Security Systems (5 papers), Software System Performance and Reliability (4 papers), Generative Adversarial Networks and Image Synthesis (4 papers), Advanced Malware Detection Techniques (4 papers), Adversarial Robustness in Machine Learning (3 papers), Advanced Steganography and Watermarking Techniques (3 papers) and Software Engineering Research (3 papers). The work is most often cited by research in Signal Processing (100 citations), Software (35 citations), Information Systems (205 citations), Computer Networks and Communications (128 citations) and Computer Vision and Pattern Recognition (65 citations). Arunava Roy has collaborated with scholars based in United States, Malaysia and India. Frequent co-authors include Dipankar Dasgupta, Junzo Watada, Subhashis Chatterjee, Hoang Pham, Bing Xu, Izzatdin Abdul Aziz, Usman Ahmad Usmani, Jafreezal Jaafar, Alexander Binder and Raphaël C.‐W. Phan. Their work appears in journals such as IEEE Access, IEEE Transactions on Artificial Intelligence, Soft Computing, Empirical Software Engineering and Applied Sciences.

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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