Pradeep K. Agarwal
- Plant Science top 0.5%
- Molecular Biology top 5%
- Biomedical Engineering top 5%
- Computational Mechanics top 2%
- Mechanical Engineering top 5%
- Co-authors
- Parinita AgarwalSudhir K. SoporyM. K. ReddyBhavanath JhaPushp Sheel ShuklaKapil GuptaAsish Kumar ParidaAsha Kumari
- Topics
- Plant Stress Responses and Tolerance (42 papers)Granular flow and fluidized beds (21 papers)Plant tissue culture and regeneration (20 papers)
- Journals
- Scientific ReportsBiochemical and Biophysical Research CommunicationsJournal of Experimental Botany
- Partner nations
- IndiaAustraliaUnited States
In The Last Decade
Pradeep K. Agarwal
119 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Plant Science 3.2k
- Molecular Biology 1.7k
- Biomedical Engineering 781
- Computational Mechanics 620
- Mechanical Engineering 397
Countries citing papers authored by Pradeep K. Agarwal
This map shows the geographic impact of Pradeep K. Agarwal'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 Pradeep K. Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pradeep K. Agarwal more than expected).
Fields of papers citing papers by Pradeep K. Agarwal
This network shows the impact of papers produced by Pradeep K. Agarwal. 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 Pradeep K. Agarwal. The network helps show where Pradeep K. Agarwal may publish in the future.
Co-authorship network of co-authors of Pradeep K. Agarwal
This figure shows the co-authorship network connecting the top 25 collaborators of Pradeep K. Agarwal. A scholar is included among the top collaborators of Pradeep K. Agarwal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pradeep K. Agarwal. Pradeep K. Agarwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 9 | |
| 5 | 41 | |
| 6 | 5 | |
| 7 | 7 | |
| 8 | 0 | |
| 9 | 7 | |
| 10 | 44 | |
| 11 | 166 | |
| 12 | 28 | |
| 13 | 4 | |
| 14 | 213 | |
| 15 | 25 | |
| 16 | 13 | |
| 17 | Simple Model to Predict Structural Condition of Asphalt Concrete Pavements at the Network Level | 1 |
| 18 | 3 | |
| 19 | Incentives, Risk, and Agency Costs in the Choice of Contractual Arrangements in Agriculture | 1 |
| 20 | Drying and devolatilization of Mississippi lignite in a fluidized bed | 1 |
About Pradeep K. Agarwal
Pradeep K. Agarwal is a scholar working on Fuel Technology, Plant Science and Computational Mechanics, having authored 128 papers that have together received 4.8k indexed citations. Recurring topics across this work include Plant Stress Responses and Tolerance (42 papers), Granular flow and fluidized beds (21 papers) and Plant tissue culture and regeneration (20 papers). The work is most often cited by research in Plant Science (3.2k citations), Computational Mechanics (620 citations) and Geochemistry and Petrology (166 citations). Pradeep K. Agarwal has collaborated with scholars based in India, Australia and United States. Frequent co-authors include Parinita Agarwal, Sudhir K. Sopory, M. K. Reddy, Bhavanath Jha, Pushp Sheel Shukla, Kapil Gupta, Asish Kumar Parida, Asha Kumari, Paromita Das and Kelly Lim. Their work appears in journals such as Scientific Reports, Biochemical and Biophysical Research Communications and Journal of Experimental Botany.
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.