Nirjhar Shah
Impact in
- Water Science and Technology top 5%
- Hydrology and Watershed Management Studies
- Environmental Engineering top 5%
- Groundwater flow and contamination studies
- Soil Moisture and Remote Sensing
Papers in
-
- Soil Moisture and Remote Sensing 5
- Groundwater flow and contamination studies 4
- Hydrological Forecasting Using AI 1
-
- Soil and Unsaturated Flow 7
- Co-authors
- Mark Ross (9 shared papers)Mahmood Nachabe (2 shared papers)G.S. Ladde (2 shared papers)Jing Zhang (1 shared paper)
- Journals
- Journal of Hydrologic Engineering (1 paper)Ground Water (1 paper)Soil Science Society of America Journal (1 paper)International Journal of Water (1 paper)Neural, Parallel & Scientific Computations archive (1 paper)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Nirjhar Shah
9 papers receiving 360 citations
Peers
Comparison fields: 5 of 33
- Water Science and Technology 248
- Environmental Engineering 202
- Geochemistry and Petrology 73
- Global and Planetary Change 184
- Civil and Structural Engineering 123
Countries citing papers authored by Nirjhar Shah
This map shows the geographic impact of Nirjhar Shah'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 Nirjhar Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nirjhar Shah more than expected).
Fields of papers citing papers by Nirjhar Shah
This network shows the impact of papers produced by Nirjhar Shah. 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 Nirjhar Shah. The network helps show where Nirjhar Shah may publish in the future.
Co-authors
The 4 scholars most cited alongside Nirjhar Shah, 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 | 2007 | 224 | |
| 2 | 2005 | 102 | |
| 3 | 2009 | 29 | |
| 4 | 2012 | 12 | |
| 5 | Using frequency analysis to determine wetland hydroperiod | 2008 | 4 |
| 6 | 2009 | 4 | |
| 7 | 2007 | 2 | |
| 8 | 2008 | 1 | |
| 9 | 2007 | 1 | |
| 10 | Vadose zone processes affecting water table fluctuations: Conceptualization and modeling considerations | 2007 | 0 |
About Nirjhar Shah
Nirjhar Shah is a scholar working on Environmental Engineering, Civil and Structural Engineering, Global and Planetary Change, Water Science and Technology and Infectious Diseases, having authored 10 papers that have together received 379 indexed citations. Recurring topics across this work include Soil and Unsaturated Flow (7 papers), Hydrology and Watershed Management Studies (6 papers), Plant Water Relations and Carbon Dynamics (6 papers), Soil Moisture and Remote Sensing (5 papers), Groundwater flow and contamination studies (4 papers), Hydrological Forecasting Using AI (1 paper) and Flood Risk Assessment and Management (1 paper). The work is most often cited by research in Water Science and Technology (248 citations), Environmental Engineering (202 citations), Geochemistry and Petrology (73 citations), Global and Planetary Change (184 citations) and Civil and Structural Engineering (123 citations). Nirjhar Shah has collaborated with scholars based in United States, India and China. Frequent co-authors include Mark Ross, Mahmood Nachabe, G.S. Ladde and Jing Zhang. Their work appears in journals such as Journal of Hydrologic Engineering, Ground Water, Soil Science Society of America Journal, International Journal of Water and Neural, Parallel & Scientific Computations archive.
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.