Sunil Kumar Muttoo

779 citations
96 papers · 552 · h-index 12

Impact in

Papers in

Sunil Kumar Muttoo

89 papers receiving 514 citations

Peers

Sunil Kumar Muttoo
Comparison fields: 5 of 52
  • Signal Processing 133
  • Computer Vision and Pattern Recognition 164
  • Information Systems 74
  • Artificial Intelligence 88
  • Computer Networks and Communications 44
Replace Shahrin Sahib with:
Shahrin Sahib Malaysia
Miroslav Bača Croatia
Yi Wei China
Min-Jen Tsai Taiwan
Kamer Vishi Norway
Feng Dong China
Saša Adamović Serbia
Miao Lin Singapore
Nikola Milošević United Kingdom
Sunil Kumar Muttoo relative to Shahrin Sahib Malaysia Shahrin Sahib's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sunil Kumar Muttoo

Since Specialization
Citations

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

Fields of papers citing papers by Sunil Kumar Muttoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Sunil Kumar Muttoo, 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 Sunil Kumar Muttoo Line = papers co-authored together Sunil Kumar Muttoo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202060
2 201727
3 201625
4 201721
5
DATA HIDING IN JPEG IMAGES
200818
6 201916
7 201814
8 201914
9 202414
10 200913
11 202013
12 201612
13 201712
14
A Graph Theoretic Approach to Sustainable Steganography
201110
15 201410
16 20129
17 20179
18 20189
19 20239
20 20208

About Sunil Kumar Muttoo

Sunil Kumar Muttoo is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Information Systems and Computer Networks and Communications, having authored 96 papers that have together received 552 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (27 papers), E-Government and Public Services (10 papers), Advanced Malware Detection Techniques (10 papers), Cryptographic Implementations and Security (7 papers), Metaheuristic Optimization Algorithms Research (6 papers), Spam and Phishing Detection (5 papers), Coding theory and cryptography (5 papers) and Network Security and Intrusion Detection (4 papers). The work is most often cited by research in Signal Processing (133 citations), Computer Vision and Pattern Recognition (164 citations), Information Systems (74 citations), Artificial Intelligence (88 citations) and Computer Networks and Communications (44 citations). Sunil Kumar Muttoo has collaborated with scholars based in India. Frequent co-authors include Saibal Kumar Pal, Rajan Gupta, V. B. Singh, Vinay Kumar, Laxmi Ahuja, Abhishek Bansal, Vinay Kumar, M. P. S. Bhatia, Sunil Kumar Khatri and Subhranil Som. Their work appears in journals such as Computers & Security, Applied Intelligence, IEEE Transactions on Information Theory, Soft Computing and Information 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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