C. S. Pavan Kumar
Impact in
- Analytical Chemistry top 5%
- Spectroscopy and Chemometric Analyses
- Plant Science top 10%
- Smart Agriculture and AI
- Leaf Properties and Growth Measurement
- Plant Disease Management Techniques
- Date Palm Research Studies
- Plant Virus Research Studies
Papers in
-
- Sentiment Analysis and Opinion Mining 2
- Advanced Text Analysis Techniques 1
-
- Mental Health via Writing 1
- Co-authors
- N. Krishnamoorthy (2 shared papers)L V Narasimha Prasad (2 shared papers)Haftom Baraki Abraha (1 shared paper)V E Sathishkumar (1 shared paper)L. D. Dhinesh Babu (2 shared papers)Kumar Katragunta (1 shared paper)
- Journals
- Evolutionary Intelligence (1 paper)Environmental Research (1 paper)Journal of Intelligent & Fuzzy Systems (1 paper)Scalable Computing Practice and Experience (1 paper)
- Partner nations
- IndiaSouth Korea
In The Last Decade
C. S. Pavan Kumar
4 papers receiving 205 citations
C. S. Pavan Kumar's Hit Papers
Peers
Comparison fields: 5 of 50
- Analytical Chemistry 92
- Plant Science 183
- Ecology 18
- Artificial Intelligence 20
- Business and International Management 1
Countries citing papers authored by C. S. Pavan Kumar
This map shows the geographic impact of C. S. Pavan Kumar'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 C. S. Pavan Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. S. Pavan Kumar more than expected).
Fields of papers citing papers by C. S. Pavan Kumar
This network shows the impact of papers produced by C. S. Pavan Kumar. 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 C. S. Pavan Kumar. The network helps show where C. S. Pavan Kumar may publish in the future.
Co-authors
The 6 scholars most cited alongside C. S. Pavan Kumar, 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 | Rice leaf diseases prediction using deep neural networks with transfer learning Hit paper breakdown → | 2021 | 200 |
| 2 | 2020 | 13 | |
| 3 | 2021 | 4 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 |
About C. S. Pavan Kumar
C. S. Pavan Kumar is a scholar working on Artificial Intelligence, Social Psychology, Sociology and Political Science, Information Systems and Computer Vision and Pattern Recognition, having authored 5 papers that have together received 218 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (2 papers), Pharmacovigilance and Adverse Drug Reactions (1 paper), Advanced Text Analysis Techniques (1 paper), Spam and Phishing Detection (1 paper), Digital Marketing and Social Media (1 paper), Computational Drug Discovery Methods (1 paper), Video Analysis and Summarization (1 paper) and Mental Health via Writing (1 paper). The work is most often cited by research in Analytical Chemistry (92 citations), Plant Science (183 citations), Ecology (18 citations), Artificial Intelligence (20 citations) and Business and International Management (1 citation). C. S. Pavan Kumar has collaborated with scholars based in India and South Korea. Frequent co-authors include N. Krishnamoorthy, L V Narasimha Prasad, Haftom Baraki Abraha, V E Sathishkumar, L. D. Dhinesh Babu and Kumar Katragunta. Their work appears in journals such as Evolutionary Intelligence, Environmental Research, Journal of Intelligent & Fuzzy Systems and Scalable Computing Practice and Experience.
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.