Avinash Agarwal
Impact in
- Environmental Engineering top 5%
- Hydrological Forecasting Using AI
- Water Science and Technology top 5%
- Hydrology and Watershed Management Studies
Papers in
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- Hydrological Forecasting Using AI 6
-
- Hydrology and Watershed Management Studies 6
- Co-authors
- S. Agrawal (1 shared paper)Faisal Ali Anwarali Khan (1 shared paper)R. D. Singh (1 shared paper)Debasmita Misra (2 shared papers)Surendra Kumar Mishra (2 shared papers)Thomas Oommen (2 shared papers)Anita M. Thompson (1 shared paper)Manish Gutch (5 shared papers)
- Journals
- Journal of Orthopaedic Translation (1 paper)Bone Marrow Transplantation (1 paper)Water Resources Management (1 paper)Water SA (1 paper)Oncotarget (1 paper)
- Partner nations
- IndiaUnited States
In The Last Decade
Avinash Agarwal
23 papers receiving 601 citations
Peers
Comparison fields: 5 of 108
- Environmental Engineering 191
- Water Science and Technology 180
- Hematology 86
- Transplantation 18
- Periodontics 18
Countries citing papers authored by Avinash Agarwal
This map shows the geographic impact of Avinash 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 Avinash Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Avinash Agarwal more than expected).
Fields of papers citing papers by Avinash Agarwal
This network shows the impact of papers produced by Avinash 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 Avinash Agarwal. The network helps show where Avinash Agarwal may publish in the future.
Co-authors
The 25 scholars most cited alongside Avinash Agarwal, 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 | 2004 | 125 | |
| 2 | 2009 | 111 | |
| 3 | 2005 | 76 | |
| 4 | 2004 | 52 | |
| 5 | 2016 | 40 | |
| 6 | 2017 | 30 | |
| 7 | 2017 | 27 | |
| 8 | 2009 | 22 | |
| 9 | 2013 | 20 | |
| 10 | 2021 | 19 | |
| 11 | 2012 | 16 | |
| 12 | 2017 | 13 | |
| 13 | 2014 | 13 | |
| 14 | 2018 | 12 | |
| 15 | 2020 | 11 | |
| 16 | 1990 | 8 | |
| 17 | 2017 | 7 | |
| 18 | 2016 | 7 | |
| 19 | 2022 | 5 | |
| 20 | 2017 | 5 |
About Avinash Agarwal
Avinash Agarwal is a scholar working on Environmental Engineering, Water Science and Technology, Surgery, Molecular Biology and Epidemiology, having authored 23 papers that have together received 629 indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (6 papers), Hydrology and Watershed Management Studies (6 papers), Hydrology and Drought Analysis (3 papers), Thyroid Disorders and Treatments (2 papers), Diabetes and associated disorders (1 paper), Inflammation biomarkers and pathways (1 paper), Pneumonia and Respiratory Infections (1 paper) and Hematopoietic Stem Cell Transplantation (1 paper). The work is most often cited by research in Environmental Engineering (191 citations), Water Science and Technology (180 citations), Hematology (86 citations), Transplantation (18 citations) and Periodontics (18 citations). Avinash Agarwal has collaborated with scholars based in India and United States. Frequent co-authors include S. Agrawal, Faisal Ali Anwarali Khan, R. D. Singh, Debasmita Misra, Surendra Kumar Mishra, Thomas Oommen, Anita M. Thompson, Manish Gutch, Sukriti Kumar and Ved Prakash. Their work appears in journals such as Journal of Orthopaedic Translation, Bone Marrow Transplantation, Water Resources Management, Water SA and Oncotarget.
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.