K. Ashokkumar
Impact in
- Analytical Chemistry top 10%
- Spectroscopy and Chemometric Analyses
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- Smart Agriculture and AI
- Leaf Properties and Growth Measurement
- Date Palm Research Studies
- Plant Disease Management Techniques
Papers in
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- Distributed and Parallel Computing Systems 2
- IoT and Edge/Fog Computing 2
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- Smart Agriculture and AI 7
- Leaf Properties and Growth Measurement 6
- Greenhouse Technology and Climate Control 2
- Co-authors
- S. Nandhini (5 shared papers)K Ananthajothi (1 shared paper)Ouajdi Korbaa (1 shared paper)Vineet Kumar (1 shared paper)S. Gayathri (1 shared paper)R. Sabitha (1 shared paper)S. Sangeetha (1 shared paper)
In The Last Decade
K. Ashokkumar
19 papers receiving 267 citations
Peers
Comparison fields: 5 of 72
- Analytical Chemistry 48
- Plant Science 140
- Media Technology 26
- Building and Construction 28
- Health Informatics 2
Countries citing papers authored by K. Ashokkumar
This map shows the geographic impact of K. Ashokkumar'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. Ashokkumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Ashokkumar more than expected).
Fields of papers citing papers by K. Ashokkumar
This network shows the impact of papers produced by K. Ashokkumar. 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. Ashokkumar. The network helps show where K. Ashokkumar may publish in the future.
Co-authors
The 7 scholars most cited alongside K. Ashokkumar, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 98 | |
| 2 | 2021 | 54 | |
| 3 | 2015 | 46 | |
| 4 | 2022 | 15 | |
| 5 | 2019 | 11 | |
| 6 | 2019 | 8 | |
| 7 | 2021 | 8 | |
| 8 | 2019 | 8 | |
| 9 | 2015 | 7 | |
| 10 | 2014 | 7 | |
| 11 | 2019 | 7 | |
| 12 | 2024 | 5 | |
| 13 | 2019 | 5 | |
| 14 | 2019 | 3 | |
| 15 | 2022 | 3 | |
| 16 | IOT-ENABLED INFRASTRUCTURE PRIVACY PRESERVATION IN BIG DATA | 2021 | 2 |
| 17 | 2022 | 2 | |
| 18 | 2020 | 2 | |
| 19 | 2015 | 1 | |
| 20 | 2024 | 0 |
About K. Ashokkumar
K. Ashokkumar is a scholar working on Computer Networks and Communications, Plant Science, Electrical and Electronic Engineering, Information Systems and Management and Mechanical Engineering, having authored 23 papers that have together received 292 indexed citations. Recurring topics across this work include Smart Agriculture and AI (7 papers), Leaf Properties and Growth Measurement (6 papers), Spectroscopy and Chemometric Analyses (3 papers), IoT and GPS-based Vehicle Safety Systems (3 papers), IoT-based Smart Home Systems (2 papers), Distributed and Parallel Computing Systems (2 papers), Greenhouse Technology and Climate Control (2 papers) and IoT and Edge/Fog Computing (2 papers). The work is most often cited by research in Analytical Chemistry (48 citations), Plant Science (140 citations), Media Technology (26 citations), Building and Construction (28 citations) and Health Informatics (2 citations). K. Ashokkumar has collaborated with scholars based in India and Tunisia. Frequent co-authors include S. Nandhini, K Ananthajothi, Ouajdi Korbaa, Vineet Kumar, S. Gayathri, R. Sabitha and S. Sangeetha. Their work appears in journals such as Neural Computing and Applications, Multimedia Tools and Applications, Journal of Computational and Theoretical Nanoscience, Malaysian Journal of Computer Science and Journal of Engineering Science and Technology Review.
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.