S. Iniyan
Impact in
- Analytical Chemistry top 10%
- Spectroscopy and Chemometric Analyses
-
- Smart Agriculture and AI
- Leaf Properties and Growth Measurement
- Greenhouse Technology and Climate Control
- Date Palm Research Studies
Papers in
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- Smart Agriculture and AI 10
-
- AI in cancer detection 4
- Co-authors
- R. Srinivasan (4 shared papers)Anurag K. Singh (1 shared paper)Dr.Sachi Nandan Mohanty (2 shared papers)Janjhyam Venkata Naga Ramesh (2 shared papers)Shtwai Alsubai (1 shared paper)Ashit Kumar Dutta (1 shared paper)Siddharth Patel (2 shared papers)Usha Desai (2 shared papers)
- Journals
- Scientific Reports (2 papers)Advances in Engineering Software (1 paper)Biomedical Signal Processing and Control (1 paper)Wireless Personal Communications (1 paper)Journal of Mobile Multimedia (1 paper)
- Partner nations
- IndiaSaudi Arabia
In The Last Decade
S. Iniyan
19 papers receiving 245 citations
Peers
Comparison fields: 5 of 66
- Analytical Chemistry 57
- Plant Science 173
- Ecology 34
- Artificial Intelligence 44
- Health Informatics 1
Countries citing papers authored by S. Iniyan
This map shows the geographic impact of S. Iniyan'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. Iniyan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Iniyan more than expected).
Fields of papers citing papers by S. Iniyan
This network shows the impact of papers produced by S. Iniyan. 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. Iniyan. The network helps show where S. Iniyan may publish in the future.
Co-authors
The 10 scholars most cited alongside S. Iniyan, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 102 | |
| 2 | 2020 | 44 | |
| 3 | 2021 | 41 | |
| 4 | 2025 | 14 | |
| 5 | 2023 | 12 | |
| 6 | 2024 | 10 | |
| 7 | 2021 | 9 | |
| 8 | 2022 | 8 | |
| 9 | 2023 | 6 | |
| 10 | 2022 | 4 | |
| 11 | 2022 | 3 | |
| 12 | 2023 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2017 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 0 |
About S. Iniyan
S. Iniyan is a scholar working on Plant Science, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Analytical Chemistry, having authored 25 papers that have together received 267 indexed citations. Recurring topics across this work include Smart Agriculture and AI (10 papers), AI in cancer detection (4 papers), Spectroscopy and Chemometric Analyses (3 papers), Artificial Intelligence in Healthcare (2 papers), COVID-19 diagnosis using AI (2 papers), Brain Tumor Detection and Classification (2 papers), Remote Sensing in Agriculture (2 papers) and Infrared Thermography in Medicine (2 papers). The work is most often cited by research in Analytical Chemistry (57 citations), Plant Science (173 citations), Ecology (34 citations), Artificial Intelligence (44 citations) and Health Informatics (1 citation). S. Iniyan has collaborated with scholars based in India and Saudi Arabia. Frequent co-authors include R. Srinivasan, Anurag K. Singh, Dr.Sachi Nandan Mohanty, Janjhyam Venkata Naga Ramesh, Shtwai Alsubai, Ashit Kumar Dutta, Siddharth Patel, Usha Desai, Dhruv K.C. Goyal and K P Sreekumar. Their work appears in journals such as Scientific Reports, Advances in Engineering Software, Biomedical Signal Processing and Control, Wireless Personal Communications and Journal of Mobile Multimedia.
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.