Eelandula Kumaraswamy
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- Advanced Steganography and Watermarking Techniques 4
- Digital Imaging for Blood Diseases 3
- Chaos-based Image/Signal Encryption 3
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- Intravenous Infusion Technology and Safety 5
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- Blockchain Technology Applications and Security 2
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- AI in cancer detection 5
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- Radiomics and Machine Learning in Medical Imaging 4
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- Brain Tumor Detection and Classification 2
- Co-authors
- Kommabatla MahenderCh. Rajendra PrasadSumit KumarRambabu VattiE. C. G. SudarshanSrinivas AluvalaManoj SharmaShallu Sharma
- Cited by
- Computer Vision and Pattern RecognitionSafety, Risk, Reliability and QualityBiomedical Engineering
- Journals
- Diagnostics (1 paper)AIP conference proceedings (13 papers)IOP Conference Series Materials Science and Engineering (8 papers)
- Partner nations
- India
In The Last Decade
Eelandula Kumaraswamy
17 papers receiving 107 citations
Peers
Comparison fields: 5 of 47
- Computer Vision and Pattern Recognition 72
- Safety, Risk, Reliability and Quality 31
- Biomedical Engineering 109
- Computer Networks and Communications 55
- Information Systems 40
Countries citing papers authored by Eelandula Kumaraswamy
This map shows the geographic impact of Eelandula Kumaraswamy'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 Eelandula Kumaraswamy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eelandula Kumaraswamy more than expected).
Fields of papers citing papers by Eelandula Kumaraswamy
This network shows the impact of papers produced by Eelandula Kumaraswamy. 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 Eelandula Kumaraswamy. The network helps show where Eelandula Kumaraswamy may publish in the future.
Co-authorship network
The 14 scholars most cited alongside Eelandula Kumaraswamy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 18 | |
| 5 | 2022 | 11 | |
| 6 | 2022 | 11 | |
| 7 | 2022 | 5 | |
| 8 | 2022 | 0 | |
| 9 | 2022 | 8 | |
| 10 | 2022 | 0 | |
| 11 | 2022 | 2 | |
| 12 | 2022 | 1 | |
| 13 | 2022 | 5 | |
| 14 | 2022 | 1 | |
| 15 | 2022 | 7 | |
| 16 | 2020 | 35 | |
| 17 | 2020 | 42 | |
| 18 | 2020 | 3 | |
| 19 | 2020 | 25 | |
| 20 | 2020 | 28 |
About Eelandula Kumaraswamy
Eelandula Kumaraswamy is a scholar working on Computer Vision and Pattern Recognition, Neurology and Artificial Intelligence, having authored 24 papers that have together received 246 indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Intravenous Infusion Technology and Safety (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Advanced Steganography and Watermarking Techniques (4 papers), Digital Imaging for Blood Diseases (3 papers), Chaos-based Image/Signal Encryption (3 papers), Brain Tumor Detection and Classification (2 papers) and Blockchain Technology Applications and Security (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (72 citations), Safety, Risk, Reliability and Quality (31 citations) and Biomedical Engineering (109 citations). Eelandula Kumaraswamy has collaborated with scholars based in India. Frequent co-authors include Kommabatla Mahender, Ch. Rajendra Prasad, Sumit Kumar, Rambabu Vatti, E. C. G. Sudarshan, Srinivas Aluvala, Manoj Sharma, Shallu Sharma, S. Naresh Kumar and Bonthala Prabhanjan Yadav. Their work appears in journals such as Diagnostics, AIP conference proceedings and IOP Conference Series Materials Science and 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.