R. Anand
Impact in
- Media Technology top 5%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
- Analytical Chemistry top 10%
- Spectroscopy and Chemometric Analyses
Papers in
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- Geochemistry and Geologic Mapping 4
-
- Remote-Sensing Image Classification 8
- Co-authors
- S. Veni (12 shared papers)J Aravinth (4 shared papers)T. Shanthi (7 shared papers)R. S. Sabeenian (5 shared papers)Binay Kumar Pandey (4 shared papers)J. Ramprabhakar (7 shared papers)Josep M. Guerrero (3 shared papers)Digvijay Pandey (1 shared paper)
- Journals
- Scientific Reports (6 papers)Future Internet (1 paper)Digital Signal Processing (1 paper)IEEE Geoscience and Remote Sensing Letters (1 paper)Evolving Systems (1 paper)
- Partner nations
- IndiaUnited StatesDenmark
In The Last Decade
R. Anand
44 papers receiving 545 citations
Peers
Comparison fields: 5 of 109
- Media Technology 97
- Analytical Chemistry 63
- Computer Vision and Pattern Recognition 101
- Artificial Intelligence 120
- Energy Engineering and Power Technology 10
Countries citing papers authored by R. Anand
This map shows the geographic impact of R. Anand'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 R. Anand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Anand more than expected).
Fields of papers citing papers by R. Anand
This network shows the impact of papers produced by R. Anand. 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 R. Anand. The network helps show where R. Anand may publish in the future.
Co-authors
The 25 scholars most cited alongside R. Anand, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 111 | |
| 2 | 2020 | 102 | |
| 3 | 2023 | 42 | |
| 4 | 2023 | 37 | |
| 5 | 2021 | 37 | |
| 6 | 2017 | 21 | |
| 7 | 2020 | 19 | |
| 8 | 2021 | 16 | |
| 9 | 2022 | 14 | |
| 10 | 2022 | 14 | |
| 11 | 2022 | 13 | |
| 12 | 2024 | 11 | |
| 13 | 2021 | 11 | |
| 14 | 2021 | 11 | |
| 15 | 2021 | 11 | |
| 16 | 2020 | 10 | |
| 17 | 2021 | 10 | |
| 18 | 2020 | 10 | |
| 19 | 2024 | 9 | |
| 20 | 2022 | 9 |
About R. Anand
R. Anand is a scholar working on Artificial Intelligence, Media Technology, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 53 papers that have together received 600 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (8 papers), Remote Sensing in Agriculture (7 papers), Microgrid Control and Optimization (5 papers), Remote Sensing and Land Use (5 papers), COVID-19 diagnosis using AI (4 papers), Smart Agriculture and AI (4 papers), Geochemistry and Geologic Mapping (4 papers) and Spectroscopy and Chemometric Analyses (3 papers). The work is most often cited by research in Media Technology (97 citations), Analytical Chemistry (63 citations), Computer Vision and Pattern Recognition (101 citations), Artificial Intelligence (120 citations) and Energy Engineering and Power Technology (10 citations). R. Anand has collaborated with scholars based in India, United States and Denmark. Frequent co-authors include S. Veni, J Aravinth, T. Shanthi, R. S. Sabeenian, Binay Kumar Pandey, J. Ramprabhakar, Josep M. Guerrero, Digvijay Pandey, S. Lakshmi and Sathishkumar Samiappan. Their work appears in journals such as Scientific Reports, Future Internet, Digital Signal Processing, IEEE Geoscience and Remote Sensing Letters and Evolving Systems.
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.