E. Welles
Impact in
- Water Science and Technology top 5%
- Hydrology and Watershed Management Studies
- Environmental Engineering top 5%
- Hydrological Forecasting Using AI
Papers in
-
- Hydrology and Drought Analysis 4
- Flood Risk Assessment and Management 4
- Climate variability and models 3
-
- Hydrology and Watershed Management Studies 8
- Co-authors
- Soroosh Sorooshian (3 shared papers)Xiaogang Gao (1 shared paper)Xiaomang Liu (1 shared paper)Ata Akbari Asanjan (1 shared paper)Tiantian Yang (1 shared paper)Gary Carter (1 shared paper)John C. Schaake (3 shared papers)Albrecht Weerts (2 shared papers)
- Journals
- Journal of Hydrology (2 papers)Bulletin of the American Meteorological Society (2 papers)Water Resources Research (2 papers)Stochastic Environmental Research and Risk Assessment (1 paper)Journal of Hydrometeorology (1 paper)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
E. Welles
11 papers receiving 488 citations
Peers
Comparison fields: 5 of 51
- Water Science and Technology 338
- Environmental Engineering 234
- Global and Planetary Change 327
- Atmospheric Science 144
- Health Informatics 7
Countries citing papers authored by E. Welles
This map shows the geographic impact of E. Welles'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 E. Welles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Welles more than expected).
Fields of papers citing papers by E. Welles
This network shows the impact of papers produced by E. Welles. 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 E. Welles. The network helps show where E. Welles may publish in the future.
Co-authors
The 25 scholars most cited alongside E. Welles, 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 | 2017 | 265 | |
| 2 | 2007 | 57 | |
| 3 | 2008 | 41 | |
| 4 | 2000 | 37 | |
| 5 | 2021 | 31 | |
| 6 | 2016 | 31 | |
| 7 | 2021 | 20 | |
| 8 | 2008 | 10 | |
| 9 | 2001 | 6 | |
| 10 | Verification of River Stage Forecasts | 2005 | 6 |
| 11 | Ensemble Streamflow Prediction by the National Weather Service (NWS) Advanced Hydrologic Prediction Services (AHPS) | 2004 | 3 |
About E. Welles
E. Welles is a scholar working on Global and Planetary Change, Water Science and Technology, Atmospheric Science, Environmental Engineering and Infectious Diseases, having authored 11 papers that have together received 507 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (8 papers), Meteorological Phenomena and Simulations (5 papers), Hydrological Forecasting Using AI (4 papers), Hydrology and Drought Analysis (4 papers), Precipitation Measurement and Analysis (4 papers), Flood Risk Assessment and Management (4 papers) and Climate variability and models (3 papers). The work is most often cited by research in Water Science and Technology (338 citations), Environmental Engineering (234 citations), Global and Planetary Change (327 citations), Atmospheric Science (144 citations) and Health Informatics (7 citations). E. Welles has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Soroosh Sorooshian, Xiaogang Gao, Xiaomang Liu, Ata Akbari Asanjan, Tiantian Yang, Gary Carter, John C. Schaake, Albrecht Weerts, Sanja Perica and D. Seo. Their work appears in journals such as Journal of Hydrology, Bulletin of the American Meteorological Society, Water Resources Research, Stochastic Environmental Research and Risk Assessment and Journal of Hydrometeorology.
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.