E. Welles

724 total citations
11 papers, 472 citations indexed

About

E. Welles is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, E. Welles has authored 11 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Global and Planetary Change, 8 papers in Water Science and Technology and 6 papers in Atmospheric Science. Recurrent topics in E. Welles's work include Hydrology and Watershed Management Studies (8 papers), Meteorological Phenomena and Simulations (5 papers) and Hydrological Forecasting Using AI (4 papers). E. Welles is often cited by papers focused on Hydrology and Watershed Management Studies (8 papers), Meteorological Phenomena and Simulations (5 papers) and Hydrological Forecasting Using AI (4 papers). E. Welles collaborates with scholars based in United States, Netherlands and Germany. E. Welles's co-authors include Soroosh Sorooshian, Tiantian Yang, Ata Akbari Asanjan, Xiaogang Gao, Xiaomang Liu, Gary Carter, John C. Schaake, Albrecht Weerts, D. Seo and Sanja Perica and has published in prestigious journals such as Water Resources Research, Journal of Hydrology and Bulletin of the American Meteorological Society.

In The Last Decade

E. Welles

11 papers receiving 457 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
E. Welles United States	8	314	305	220	133	73	11	472
Duc Hai Nguyen Vietnam	10	213 0.7×	244 0.8×	277 1.3×	101 0.8×	29 0.4×	18	419
Vinit Sehgal United States	12	228 0.7×	350 1.1×	260 1.2×	137 1.0×	21 0.3×	19	543
Ridwan Siddique United States	12	260 0.8×	295 1.0×	222 1.0×	166 1.2×	18 0.2×	17	452
Meral Büyükyıldız Türkiye	10	240 0.8×	230 0.8×	283 1.3×	72 0.5×	32 0.4×	31	480
Changsam Jeong South Korea	12	143 0.5×	312 1.0×	115 0.5×	158 1.2×	28 0.4×	33	457
Jayashree Chadalawada Singapore	7	249 0.8×	214 0.7×	263 1.2×	38 0.3×	33 0.5×	11	369
N. Evora Canada	6	191 0.6×	191 0.6×	168 0.8×	167 1.3×	14 0.2×	10	392
Yingchun Huang China	10	297 0.9×	327 1.1×	198 0.9×	149 1.1×	20 0.3×	18	462
Hung-Wei Tseng Taiwan	7	107 0.3×	173 0.6×	182 0.8×	74 0.6×	31 0.4×	12	348
Morteza Lotfirad Iran	14	237 0.8×	343 1.1×	150 0.7×	51 0.4×	26 0.4×	27	484

Countries citing papers authored by E. Welles

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of E. Welles

This figure shows the co-authorship network connecting the top 25 collaborators of E. Welles. A scholar is included among the top collaborators of E. Welles 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 E. Welles. E. Welles is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

Kim, Sunghee, Seong Jin Noh, Dong‐Jun Seo, et al.. (2021). High-resolution modeling and prediction of urban floods using WRF-Hydro and data assimilation. Journal of Hydrology. 598. 126236–126236. 30 indexed citations

Seo, Dong‐Jun, et al.. (2021). Multi-model streamflow prediction using conditional bias-penalized multiple linear regression. Stochastic Environmental Research and Risk Assessment. 35(11). 2355–2373. 20 indexed citations

Yang, Tiantian, Ata Akbari Asanjan, E. Welles, et al.. (2017). Developing reservoir monthly inflow forecasts using artificial intelligence and climate phenomenon information. Water Resources Research. 53(4). 2786–2812. 256 indexed citations

Beckers, Joost, Albrecht Weerts, Erik Tijdeman, & E. Welles. (2016). ENSO-conditioned weather resampling method for seasonal ensemble streamflow prediction. Hydrology and earth system sciences. 20(8). 3277–3287. 27 indexed citations

Welles, E. & Soroosh Sorooshian. (2008). Scientific Verification of Deterministic River Stage Forecasts. Journal of Hydrometeorology. 10(2). 507–520. 8 indexed citations

Demargne, Julie, et al.. (2008). Application of Forecast Verification Science to Operational River Forecasting in the U.S. National Weather Service. Bulletin of the American Meteorological Society. 90(6). 779–784. 33 indexed citations

Welles, E., et al.. (2007). Hydrologic Verification: A Call for Action and Collaboration. Bulletin of the American Meteorological Society. 88(4). 503–512. 49 indexed citations

Welles, E.. (2005). Verification of River Stage Forecasts. UA Campus Repository (The University of Arizona). 5 indexed citations

Schaake, John C., Robert Hartman, Julie Demargne, et al.. (2004). Ensemble Streamflow Prediction by the National Weather Service (NWS) Advanced Hydrologic Prediction Services (AHPS). AGU Spring Meeting Abstracts. 2004. 3 indexed citations

10.

Schaake, John C., et al.. (2001). Comment on “Bayesian theory of probabilistic forecasting via deterministic hydrologic model“ by Roman Krzysztofowicz. Water Resources Research. 37(2). 439–439. 6 indexed citations

11.

Seo, D., Sanja Perica, E. Welles, & John C. Schaake. (2000). Simulation of precipitation fields from probabilistic quantitative precipitation forecast. Journal of Hydrology. 239(1-4). 203–229. 35 indexed citations

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.

Explore authors with similar magnitude of impact