Vikram Kumar
Impact in
- Water Science and Technology top 10%
- Hydrology and Watershed Management Studies
- Environmental Engineering top 10%
- Hydrological Forecasting Using AI
Papers in
-
- Hydrology and Watershed Management Studies 12
-
- Flood Risk Assessment and Management 7
- Hydrology and Drought Analysis 5
- Climate variability and models 4
- Co-authors
- Sumit Sen (6 shared papers)V. S. R. Rao (1 shared paper)M. Chidambaram (1 shared paper)Jahangeer Jahangeer (3 shared papers)Padam Jee Omar (3 shared papers)Harish Verma (1 shared paper)Siddharth Singh (1 shared paper)Sahaj Saxena (1 shared paper)
In The Last Decade
Vikram Kumar
41 papers receiving 539 citations
Peers
Comparison fields: 5 of 99
- Water Science and Technology 121
- Environmental Engineering 111
- Global and Planetary Change 153
- Signal Processing 49
- Control and Systems Engineering 80
Countries citing papers authored by Vikram Kumar
This map shows the geographic impact of Vikram 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 Vikram Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikram Kumar more than expected).
Fields of papers citing papers by Vikram Kumar
This network shows the impact of papers produced by Vikram 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 Vikram Kumar. The network helps show where Vikram Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Vikram 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
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 82 | |
| 2 | 2017 | 54 | |
| 3 | 2021 | 49 | |
| 4 | 2007 | 45 | |
| 5 | 2015 | 32 | |
| 6 | 2021 | 28 | |
| 7 | 2006 | 24 | |
| 8 | 2017 | 23 | |
| 9 | 2021 | 19 | |
| 10 | 2021 | 19 | |
| 11 | 2025 | 19 | |
| 12 | 2020 | 18 | |
| 13 | 2018 | 16 | |
| 14 | 2024 | 12 | |
| 15 | 2003 | 11 | |
| 16 | 2021 | 11 | |
| 17 | Importance of weather prediction for sustainable agriculture in Bihar, India | 2017 | 10 |
| 18 | 2020 | 10 | |
| 19 | 2022 | 8 | |
| 20 | 2024 | 8 |
About Vikram Kumar
Vikram Kumar is a scholar working on Water Science and Technology, Global and Planetary Change, Environmental Engineering, Electrical and Electronic Engineering and Atmospheric Science, having authored 48 papers that have together received 563 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (12 papers), Flood Risk Assessment and Management (7 papers), Hydrological Forecasting Using AI (5 papers), Hydrology and Drought Analysis (5 papers), Climate variability and models (4 papers), ECG Monitoring and Analysis (4 papers), Smart Grid Energy Management (3 papers) and Water resources management and optimization (3 papers). The work is most often cited by research in Water Science and Technology (121 citations), Environmental Engineering (111 citations), Global and Planetary Change (153 citations), Signal Processing (49 citations) and Control and Systems Engineering (80 citations). Vikram Kumar has collaborated with scholars based in India, Brazil and Canada. Frequent co-authors include Sumit Sen, V. S. R. Rao, M. Chidambaram, Jahangeer Jahangeer, Padam Jee Omar, Harish Verma, Siddharth Singh, Sahaj Saxena, Ashis Kumar Satpati and V. K. Giri. Their work appears in journals such as Results in Engineering, International Journal of Systems Science, Frontiers in Environmental Science, Applied Engineering in Agriculture and Water Science & Technology.
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.