K. Saikumar
Impact in
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- Artificial Intelligence in Healthcare
- Information Systems top 10%
Papers in
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- Artificial Intelligence in Healthcare 13
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- Spam and Phishing Detection 4
- Co-authors
- V. Rajesh (11 shared papers)Achanta Sampath Dakshina Murthy (7 shared papers)Ramesh Vatambeti (3 shared papers)Shaik Hasane Ahammad (5 shared papers)Usha Kumari Chintalapati (1 shared paper)Bhopendra Singh (1 shared paper)Gautam Srivastava (1 shared paper)Koppula Srinivas Rao (2 shared papers)
- Journals
- Indian Journal of Science and Technology (1 paper)International Journal of Research in Pharmaceutical Sciences (3 papers)International Journal of Systems Assurance Engineering and Management (1 paper)Mathematical Modelling and Engineering Problems (1 paper)Frontiers in Computational Neuroscience (1 paper)
In The Last Decade
K. Saikumar
65 papers receiving 551 citations
Peers
Comparison fields: 5 of 62
- Health Information Management 102
- Information Systems 101
- Computer Vision and Pattern Recognition 87
- Neurology 21
- Health Informatics 5
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 24 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 49 | |
| 2 | 2021 | 48 | |
| 3 | 2022 | 40 | |
| 4 | 2021 | 33 | |
| 5 | 2021 | 33 | |
| 6 | 2021 | 32 | |
| 7 | 2022 | 28 | |
| 8 | 2020 | 25 | |
| 9 | 2021 | 23 | |
| 10 | 2021 | 18 | |
| 11 | 2022 | 16 | |
| 12 | 2021 | 14 | |
| 13 | 2021 | 12 | |
| 14 | 2021 | 12 | |
| 15 | 2019 | 11 | |
| 16 | 2021 | 11 | |
| 17 | 2021 | 11 | |
| 18 | 2022 | 11 | |
| 19 | 2021 | 10 | |
| 20 | 2022 | 10 |
About K. Saikumar
K. Saikumar is a scholar working on Health Information Management, Information Systems, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Signal Processing, having authored 70 papers that have together received 601 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (13 papers), Medical Image Segmentation Techniques (4 papers), Spam and Phishing Detection (4 papers), Low-power high-performance VLSI design (3 papers), Medical Imaging and Analysis (3 papers), Advanced Neural Network Applications (3 papers), Smart Agriculture and AI (3 papers) and Cardiac Imaging and Diagnostics (3 papers). The work is most often cited by research in Health Information Management (102 citations), Information Systems (101 citations), Computer Vision and Pattern Recognition (87 citations), Neurology (21 citations) and Health Informatics (5 citations). K. Saikumar has collaborated with scholars based in India, Iraq and Norway. Frequent co-authors include V. Rajesh, Achanta Sampath Dakshina Murthy, Ramesh Vatambeti, Shaik Hasane Ahammad, Usha Kumari Chintalapati, Bhopendra Singh, Gautam Srivastava, Koppula Srinivas Rao, Ahmed J. Obaid and Kranthi Kumar Singamaneni. Their work appears in journals such as Indian Journal of Science and Technology, International Journal of Research in Pharmaceutical Sciences, International Journal of Systems Assurance Engineering and Management, Mathematical Modelling and Engineering Problems and Frontiers in Computational Neuroscience.
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.