Srinivas Koppu
Impact in
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- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in
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- AI in cancer detection 4
- Cryptography and Data Security 3
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- Blockchain Technology Applications and Security 5
- Co-authors
- Praveen Kumar Reddy Maddikunta (6 shared papers)Thippa Reddy Gadekallu (5 shared papers)Chiranji Lal Chowdhary (4 shared papers)Mamoun Alazab (2 shared papers)M. Parimala (1 shared paper)Gautam Srivastava (3 shared papers)M. Iyapparaja (3 shared papers)Siva Rama Krishnan Somayaji (2 shared papers)
In The Last Decade
Srinivas Koppu
22 papers receiving 770 citations
Srinivas Koppu's Hit Papers
Peers
Comparison fields: 5 of 116
- Computer Networks and Communications 306
- Signal Processing 139
- Health Informatics 15
- Artificial Intelligence 292
- Information Systems 165
Countries citing papers authored by Srinivas Koppu
This map shows the geographic impact of Srinivas Koppu'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 Srinivas Koppu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Srinivas Koppu more than expected).
Fields of papers citing papers by Srinivas Koppu
This network shows the impact of papers produced by Srinivas Koppu. 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 Srinivas Koppu. The network helps show where Srinivas Koppu may publish in the future.
Co-authors
The 25 scholars most cited alongside Srinivas Koppu, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An effective feature engineering for DNN using hybrid PCA-GWO for intrusion detection in IoMT architecture Hit paper breakdown → | 2020 | 340 |
| 2 | 2022 | 101 | |
| 3 | 2022 | 89 | |
| 4 | 2022 | 56 | |
| 5 | 2020 | 37 | |
| 6 | 2020 | 29 | |
| 7 | 2023 | 27 | |
| 8 | 2023 | 18 | |
| 9 | 2021 | 18 | |
| 10 | 2024 | 17 | |
| 11 | 2019 | 16 | |
| 12 | 2022 | 11 | |
| 13 | 2022 | 8 | |
| 14 | 2022 | 7 | |
| 15 | 3D reconstruction of a scene from multiple 2D images | 2017 | 6 |
| 16 | 2022 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2020 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2024 | 2 |
About Srinivas Koppu
Srinivas Koppu is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 22 papers that have together received 802 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (5 papers), IoT and Edge/Fog Computing (4 papers), AI in cancer detection (4 papers), Cryptography and Data Security (3 papers), Retinal Imaging and Analysis (2 papers), Brain Tumor Detection and Classification (2 papers), Gene expression and cancer classification (2 papers) and Digital Transformation in Industry (2 papers). The work is most often cited by research in Computer Networks and Communications (306 citations), Signal Processing (139 citations), Health Informatics (15 citations), Artificial Intelligence (292 citations) and Information Systems (165 citations). Srinivas Koppu has collaborated with scholars based in India, Taiwan and Canada. Frequent co-authors include Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu, Chiranji Lal Chowdhary, Mamoun Alazab, M. Parimala, Gautam Srivastava, M. Iyapparaja, Siva Rama Krishnan Somayaji, M. K. Nallakaruppan and Rajeswari Chengoden. Their work appears in journals such as IEEE Access, Computers & Electrical Engineering, Frontiers in Public Health, Computer Communications and Sustainability.
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.