H. L. Tiwari
- Global and Planetary Change top 5%
- Water Science and Technology top 5%
- Environmental Engineering top 10%
- Atmospheric Science
- Civil and Structural Engineering
- Co-authors
- R. K. JaiswalA. K. LohaniVikas PooniaArun GoelR. V. GalkateShivam SinghAvinash PanwarSudhakar Singh
- Topics
- Hydrology and Watershed Management Studies (21 papers)Flood Risk Assessment and Management (17 papers)Hydrological Forecasting Using AI (11 papers)
In The Last Decade
H. L. Tiwari
39 papers receiving 432 citations
Peers
Comparison fields: 5 of 67
- Global and Planetary Change 277
- Water Science and Technology 173
- Environmental Engineering 113
- Atmospheric Science 78
- Civil and Structural Engineering 47
Countries citing papers authored by H. L. Tiwari
This map shows the geographic impact of H. L. Tiwari'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 H. L. Tiwari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. L. Tiwari more than expected).
Fields of papers citing papers by H. L. Tiwari
This network shows the impact of papers produced by H. L. Tiwari. 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 H. L. Tiwari. The network helps show where H. L. Tiwari may publish in the future.
Co-authorship network of co-authors of H. L. Tiwari
This figure shows the co-authorship network connecting the top 25 collaborators of H. L. Tiwari. A scholar is included among the top collaborators of H. L. Tiwari 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 H. L. Tiwari. H. L. Tiwari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 7 | |
| 9 | 14 | |
| 10 | 5 | |
| 11 | Hydrological Analysis by Artificial Neural Network: A Review | 4 |
| 12 | Hydrological Modelling in Narmada Basin using Remote Sensing and GIS with SWAT model and Runoff Prediction in Patan Watershed | 5 |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 13 | |
| 16 | Assessment of Reservoir Sedimentation Using Remote Sensing Technique with GIS Model-A Review | 3 |
| 17 | 3 | |
| 18 | Comprehensive Review of RunoffEstimation by the Curve Number Method | 5 |
| 19 | Hydraulic Energy Dissipators-A Review | 1 |
| 20 | THE EFFECT OF SALTS OF THE HYDRAULIC CONDUCTIVITY OF THE SALINE ALKALI SOIL | 5 |
About H. L. Tiwari
H. L. Tiwari is a scholar working on Water Science and Technology, Environmental Engineering and Global and Planetary Change, having authored 45 papers that have together received 451 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (21 papers), Flood Risk Assessment and Management (17 papers) and Hydrological Forecasting Using AI (11 papers). The work is most often cited by research in Global and Planetary Change (277 citations), Water Science and Technology (173 citations) and Environmental Engineering (113 citations). H. L. Tiwari has collaborated with scholars based in India and Israel. Frequent co-authors include R. K. Jaiswal, A. K. Lohani, Vikas Poonia, Arun Goel, R. V. Galkate, Shivam Singh, Avinash Panwar, Sudhakar Singh, Savita Kumari and Kamal Jeet Singh. Their work appears in journals such as Journal of Hydrology, Journal of Arid Environments and Ocean Engineering.
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.