S Rohith

441 citations
51 papers · 211 · h-index 8

Impact in

Papers in

S Rohith

38 papers receiving 194 citations

Peers

S Rohith
Comparison fields: 5 of 52
  • Computer Vision and Pattern Recognition 69
  • Computer Networks and Communications 38
  • Artificial Intelligence 47
  • Computational Theory and Mathematics 22
  • Information Systems 27
Replace Mohammed Ouanan with:
Mohammed Ouanan Portugal
B. B. Amberker India
Shiyu Liu China
Pierre Genevès France
José Cano United Kingdom
Cláudio Rebelo de Sá Netherlands
Zhenyu Yang China
David Tolpin Israel
Vik Tor Goh Malaysia
Jingyang Yuan China
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Citations per field
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Citations per year

Countries citing papers authored by S Rohith

Since Specialization
Citations

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

Fields of papers citing papers by S Rohith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside S Rohith, 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 S Rohith Line = papers co-authored together S Rohith links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201438
2 201922
3 202317
4 202414
5 202211
6 20229
7 20209
8 20248
9 20247
10 20247
11 20255
12 20255
13 20165
14 20205
15 20244
16 20154
17 20233
18 20233
19 20133
20 20153

About S Rohith

S Rohith is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications and Biomedical Engineering, having authored 51 papers that have together received 211 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (10 papers), Advanced Steganography and Watermarking Techniques (6 papers), IoT and Edge/Fog Computing (4 papers), Coding theory and cryptography (3 papers), Low-power high-performance VLSI design (3 papers), Analog and Mixed-Signal Circuit Design (3 papers), Cryptographic Implementations and Security (3 papers) and Smart Agriculture and AI (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (69 citations), Computer Networks and Communications (38 citations), Artificial Intelligence (47 citations), Computational Theory and Mathematics (22 citations) and Information Systems (27 citations). S Rohith has collaborated with scholars based in India, Ethiopia and Bangladesh. Frequent co-authors include S Supreeth, Ashutosh Sharma, P. Dayananda, Kiran Kumari Patil, B. Sujatha, Anita Kanavalli, B. N. Ravi Kumar, Harish Hanumanthappa, Dinesh Kumar and Rajeev Ranjan. Their work appears in journals such as IEEE Access, Indian Journal of Science and Technology, Scientific Reports, SN Computer Science and Journal of Electrical and Computer Engineering.

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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