K. Saikumar
Impact in
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- Artificial Intelligence in Healthcare
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- Brain Tumor Detection and Classification
Papers in
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- Smart Systems and Machine Learning 9
- Network Security and Intrusion Detection 6
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- Internet of Things and AI 10
- Co-authors
- V. Rajesh (8 shared papers)A. Sampath Dakshina Murthy (4 shared papers)Ramesh Vatambeti (3 shared papers)Ahmed Nabih Zaki Rashed (6 shared papers)Ch. Usha Kumari (1 shared paper)Noor Mohammad (1 shared paper)Gautam Srivastava (2 shared papers)Sk Hasane Ahammad (5 shared papers)
In The Last Decade
K. Saikumar
49 papers receiving 374 citations
Peers
Comparison fields: 5 of 74
- Health Information Management 53
- Neurology 42
- Computer Networks and Communications 115
- Information Systems 98
- Computer Vision and Pattern Recognition 64
Countries citing papers authored by K. Saikumar
This map shows the geographic impact of K. Saikumar'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 K. Saikumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Saikumar more than expected).
Fields of papers citing papers by K. Saikumar
This network shows the impact of papers produced by K. Saikumar. 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 K. Saikumar. The network helps show where K. Saikumar may publish in the future.
Co-authors
The 25 scholars most cited alongside K. Saikumar, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 39 | |
| 2 | 2020 | 34 | |
| 3 | 2022 | 30 | |
| 4 | 2021 | 27 | |
| 5 | 2020 | 24 | |
| 6 | 2021 | 23 | |
| 7 | 2022 | 22 | |
| 8 | 2023 | 16 | |
| 9 | 2021 | 15 | |
| 10 | 2023 | 14 | |
| 11 | 2023 | 14 | |
| 12 | 2022 | 13 | |
| 13 | 2023 | 10 | |
| 14 | 2021 | 9 | |
| 15 | 2023 | 8 | |
| 16 | 2021 | 8 | |
| 17 | 2021 | 8 | |
| 18 | 2019 | 8 | |
| 19 | 2022 | 7 | |
| 20 | 2021 | 7 |
About K. Saikumar
K. Saikumar is a scholar working on Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 55 papers that have together received 409 indexed citations. Recurring topics across this work include Internet of Things and AI (10 papers), Smart Systems and Machine Learning (9 papers), Network Security and Intrusion Detection (6 papers), Artificial Intelligence in Healthcare (5 papers), Brain Tumor Detection and Classification (5 papers), COVID-19 diagnosis using AI (4 papers), Advanced Malware Detection Techniques (4 papers) and Advancements in Semiconductor Devices and Circuit Design (3 papers). The work is most often cited by research in Health Information Management (53 citations), Neurology (42 citations), Computer Networks and Communications (115 citations), Information Systems (98 citations) and Computer Vision and Pattern Recognition (64 citations). K. Saikumar has collaborated with scholars based in India, Iraq and Egypt. Frequent co-authors include V. Rajesh, A. Sampath Dakshina Murthy, Ramesh Vatambeti, Ahmed Nabih Zaki Rashed, Ch. Usha Kumari, Noor Mohammad, Gautam Srivastava, Sk Hasane Ahammad, Bhopendra Singh and K. Vani. Their work appears in journals such as Plasmonics, Indian Journal of Science and Technology, International Journal of Research in Pharmaceutical Sciences, International Journal of Systems Assurance Engineering and Management and Materials Today Proceedings.
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.