S Supreeth
Impact in
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- IoT and Edge/Fog Computing
- Distributed and Parallel Computing Systems
- Information Systems top 10%
- Cloud Computing and Resource Management
- Blockchain Technology Applications and Security
Papers in
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- IoT and Edge/Fog Computing 11
- Distributed and Parallel Computing Systems 4
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- AI in cancer detection 3
- Anomaly Detection Techniques and Applications 2
- Co-authors
- Kiran Kumari Patil (6 shared papers)S Rohith (22 shared papers)Monica R. Mundada (5 shared papers)P. Dayananda (6 shared papers)Bryan Gardiner (1 shared paper)Anita Kanavalli (3 shared papers)B. Sujatha (1 shared paper)B. N. Ravi Kumar (1 shared paper)
- Journals
- International Journal of Emerging Technologies in Learning (iJET) (2 papers)IEEE Access (2 papers)Scientific Reports (1 paper)SN Computer Science (5 papers)Journal of Electrical and Computer Engineering (2 papers)
- Partner nations
- IndiaBangladeshBahrain
In The Last Decade
S Supreeth
38 papers receiving 222 citations
Peers
Comparison fields: 5 of 45
- Computer Networks and Communications 105
- Information Systems 78
- Building and Construction 28
- Computer Vision and Pattern Recognition 38
- Hardware and Architecture 11
Countries citing papers authored by S Supreeth
This map shows the geographic impact of S Supreeth'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 Supreeth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Supreeth more than expected).
Fields of papers citing papers by S Supreeth
This network shows the impact of papers produced by S Supreeth. 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 Supreeth. The network helps show where S Supreeth may publish in the future.
Co-authors
The 17 scholars most cited alongside S Supreeth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 18 | |
| 2 | 2023 | 17 | |
| 3 | 2022 | 15 | |
| 4 | 2022 | 15 | |
| 5 | 2024 | 14 | |
| 6 | 2013 | 13 | |
| 7 | 2019 | 13 | |
| 8 | 2023 | 12 | |
| 9 | 2022 | 11 | |
| 10 | 2019 | 10 | |
| 11 | 2022 | 10 | |
| 12 | 2022 | 9 | |
| 13 | 2024 | 8 | |
| 14 | 2024 | 7 | |
| 15 | 2024 | 7 | |
| 16 | 2025 | 5 | |
| 17 | 2025 | 5 | |
| 18 | 2020 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2024 | 4 |
About S Supreeth
S Supreeth is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 47 papers that have together received 233 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (11 papers), IoT and Edge/Fog Computing (11 papers), Chaos-based Image/Signal Encryption (6 papers), Advanced Steganography and Watermarking Techniques (5 papers), Distributed and Parallel Computing Systems (4 papers), Scheduling and Optimization Algorithms (3 papers), AI in cancer detection (3 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Computer Networks and Communications (105 citations), Information Systems (78 citations), Building and Construction (28 citations), Computer Vision and Pattern Recognition (38 citations) and Hardware and Architecture (11 citations). S Supreeth has collaborated with scholars based in India, Bangladesh and Bahrain. Frequent co-authors include Kiran Kumari Patil, S Rohith, Monica R. Mundada, P. Dayananda, Bryan Gardiner, Anita Kanavalli, B. Sujatha, B. N. Ravi Kumar, Harish Hanumanthappa and Dinesh Kumar. Their work appears in journals such as International Journal of Emerging Technologies in Learning (iJET), IEEE Access, 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.