Deept Kumar
Impact in
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- Hemoglobin structure and function
- Information Systems top 10%
- Data Mining Algorithms and Applications
Papers in
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- Data Mining Algorithms and Applications 3
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- Irrigation Practices and Water Management 2
- Co-authors
- Naren Ramakrishnan (6 shared papers)Malcolm Potts (4 shared papers)Richard F. Helm (4 shared papers)Maulik P. Shukla (3 shared papers)T. M. Murali (1 shared paper)Jory Z. Ruscio (1 shared paper)Alexey V. Onufriev (1 shared paper)Michael G. Prisant (1 shared paper)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (1 paper)Applied and Environmental Microbiology (1 paper)Journal of Irrigation and Drainage Engineering (1 paper)PLANT PHYSIOLOGY (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Deept Kumar
11 papers receiving 467 citations
Peers
Comparison fields: 5 of 69
- Cell Biology 67
- Information Systems 73
- Plant Science 104
- Molecular Biology 148
- Horticulture 1
Countries citing papers authored by Deept Kumar
This map shows the geographic impact of Deept 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 Deept Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deept Kumar more than expected).
Fields of papers citing papers by Deept Kumar
This network shows the impact of papers produced by Deept 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 Deept Kumar. The network helps show where Deept Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Deept 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 | 2003 | 134 | |
| 2 | 2008 | 127 | |
| 3 | 2005 | 81 | |
| 4 | 2004 | 69 | |
| 5 | 2008 | 31 | |
| 6 | 2006 | 18 | |
| 7 | 2012 | 10 | |
| 8 | 1992 | 9 | |
| 9 | 2004 | 8 | |
| 10 | 2018 | 5 | |
| 11 | 1992 | 2 | |
| 12 | 2022 | 0 | |
| 13 | 2025 | 0 |
About Deept Kumar
Deept Kumar is a scholar working on Information Systems, Soil Science, General Agricultural and Biological Sciences, Information Systems and Management and Nutrition and Dietetics, having authored 13 papers that have together received 494 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (3 papers), Irrigation Practices and Water Management (2 papers), Iron and Steelmaking Processes (1 paper), Plant Water Relations and Carbon Dynamics (1 paper), Fungal and yeast genetics research (1 paper), Protein Structure and Dynamics (1 paper), Hemoglobin structure and function (1 paper) and Agricultural Innovations and Practices (1 paper). The work is most often cited by research in Cell Biology (67 citations), Information Systems (73 citations), Plant Science (104 citations), Molecular Biology (148 citations) and Horticulture (1 citation). Deept Kumar has collaborated with scholars based in United States and India. Frequent co-authors include Naren Ramakrishnan, Malcolm Potts, Richard F. Helm, Maulik P. Shukla, T. M. Murali, Jory Z. Ruscio, Alexey V. Onufriev, Michael G. Prisant, Bud Mishra and Leonel van Zyl. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Applied and Environmental Microbiology, Journal of Irrigation and Drainage Engineering, PLANT PHYSIOLOGY and Proceedings of the National Academy of 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.