Chandan Kumar Deb
Impact in
- Plant Science top 10%
- Smart Agriculture and AI
- Leaf Properties and Growth Measurement
- Plant-Microbe Interactions and Immunity
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- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
Papers in
-
- Smart Agriculture and AI 16
- Leaf Properties and Growth Measurement 1
-
- Semantic Web and Ontologies 4
- Co-authors
- Sudeep Marwaha (18 shared papers)Md. Ashraful Haque (12 shared papers)Alka Arora (6 shared papers)Sapna Nigam (3 shared papers)KARAMBIR SINGH HOODA (2 shared papers)Mukesh Kumar (2 shared papers)Brejesh Lall (1 shared paper)Prabhat Kumar (1 shared paper)
- Journals
- Scientific Reports (3 papers)Frontiers in Plant Science (2 papers)Neural Computing and Applications (2 papers)Artificial Intelligence in Agriculture (1 paper)Applied Sciences (1 paper)
- Partner nations
- IndiaUnited States
In The Last Decade
Chandan Kumar Deb
20 papers receiving 282 citations
Peers
Comparison fields: 5 of 27
- Plant Science 249
- Management Science and Operations Research 14
- Ecological Modeling 2
- Artificial Intelligence 19
- Computer Vision and Pattern Recognition 10
Countries citing papers authored by Chandan Kumar Deb
This map shows the geographic impact of Chandan Kumar Deb'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 Chandan Kumar Deb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chandan Kumar Deb more than expected).
Fields of papers citing papers by Chandan Kumar Deb
This network shows the impact of papers produced by Chandan Kumar Deb. 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 Chandan Kumar Deb. The network helps show where Chandan Kumar Deb may publish in the future.
Co-authors
The 25 scholars most cited alongside Chandan Kumar Deb, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 118 | |
| 2 | 2023 | 37 | |
| 3 | 2022 | 30 | |
| 4 | 2022 | 23 | |
| 5 | 2024 | 18 | |
| 6 | 2024 | 13 | |
| 7 | 2023 | 12 | |
| 8 | 2022 | 10 | |
| 9 | 2025 | 8 | |
| 10 | Strengthening soil taxonomy ontology software for description and classification of USDA soil taxonomy up to soil series | 2015 | 5 |
| 11 | 2025 | 4 | |
| 12 | 2017 | 3 | |
| 13 | 2018 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2018 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2025 | 1 |
About Chandan Kumar Deb
Chandan Kumar Deb is a scholar working on Plant Science, Artificial Intelligence, Computer Vision and Pattern Recognition, Management Science and Operations Research and Ecology, having authored 22 papers that have together received 293 indexed citations. Recurring topics across this work include Smart Agriculture and AI (16 papers), Semantic Web and Ontologies (4 papers), Biomedical Text Mining and Ontologies (2 papers), Advanced Neural Network Applications (2 papers), Remote Sensing in Agriculture (1 paper), Leaf Properties and Growth Measurement (1 paper), Genomics and Phylogenetic Studies (1 paper) and Stock Market Forecasting Methods (1 paper). The work is most often cited by research in Plant Science (249 citations), Management Science and Operations Research (14 citations), Ecological Modeling (2 citations), Artificial Intelligence (19 citations) and Computer Vision and Pattern Recognition (10 citations). Chandan Kumar Deb has collaborated with scholars based in India and United States. Frequent co-authors include Sudeep Marwaha, Md. Ashraful Haque, Alka Arora, Sapna Nigam, KARAMBIR SINGH HOODA, Mukesh Kumar, Brejesh Lall, Prabhat Kumar, Sumit Kumar Aggarwal and Pushkar Gole. Their work appears in journals such as Scientific Reports, Frontiers in Plant Science, Neural Computing and Applications, Artificial Intelligence in Agriculture and Applied Sciences.
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.