A. L. Dugger

1.1k total citations
39 papers, 443 citations indexed

About

A. L. Dugger is a scholar working on Water Science and Technology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, A. L. Dugger has authored 39 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Water Science and Technology, 20 papers in Global and Planetary Change and 12 papers in Atmospheric Science. Recurrent topics in A. L. Dugger's work include Hydrology and Watershed Management Studies (26 papers), Flood Risk Assessment and Management (12 papers) and Hydrological Forecasting Using AI (6 papers). A. L. Dugger is often cited by papers focused on Hydrology and Watershed Management Studies (26 papers), Flood Risk Assessment and Management (12 papers) and Hydrological Forecasting Using AI (6 papers). A. L. Dugger collaborates with scholars based in United States, Romania and Ukraine. A. L. Dugger's co-authors include David Gochis, C. Tague, F. Salas, Timothy M. Lahmers, David Yates, Laura Read, Wei Yu, David R. Maidment, Christopher L. Castro and Marcelo Somos‐Valenzuela and has published in prestigious journals such as Water Resources Research, Journal of Hydrology and Hydrological Processes.

In The Last Decade

A. L. Dugger

39 papers receiving 435 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. L. Dugger United States 12 342 330 182 117 20 39 443
Borbála Széles Austria 9 247 0.7× 257 0.8× 129 0.7× 95 0.8× 27 1.4× 19 373
Fabienne Rousset-Regimbeau France 4 277 0.8× 235 0.7× 155 0.9× 79 0.7× 30 1.5× 4 383
Larisa Tarasova Germany 16 385 1.1× 427 1.3× 118 0.6× 92 0.8× 40 2.0× 27 574
Binod Bhatta Thailand 7 354 1.0× 441 1.3× 124 0.7× 138 1.2× 38 1.9× 9 532
Kazi Ali Tamaddun United States 9 257 0.8× 184 0.6× 78 0.4× 114 1.0× 19 0.9× 16 348
Cristóbal Puelma Chile 3 207 0.6× 196 0.6× 110 0.6× 70 0.6× 37 1.9× 3 314
Zhengtao Cui United States 10 369 1.1× 384 1.2× 206 1.1× 161 1.4× 39 1.9× 16 510
S. Jang United States 14 428 1.3× 237 0.7× 331 1.8× 59 0.5× 23 1.1× 27 551

Countries citing papers authored by A. L. Dugger

Since Specialization
Citations

This map shows the geographic impact of A. L. Dugger'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 A. L. Dugger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. L. Dugger more than expected).

Fields of papers citing papers by A. L. Dugger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. L. Dugger. 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 A. L. Dugger. The network helps show where A. L. Dugger may publish in the future.

Co-authorship network of co-authors of A. L. Dugger

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

All Works

20 of 20 papers shown
1.
Hu, Huancui, L. Ruby Leung, Francina Domínguez, et al.. (2024). Integrating a Water Tracer Model Into WRF‐Hydro for Characterizing the Effect of Lateral Flow in Hydrologic Simulations. Water Resources Research. 60(7). 1 indexed citations
2.
Rafieeinasab, A., et al.. (2024). Ensemble Methods for Parameter Estimation of WRF‐Hydro. Water Resources Research. 61(1). 1 indexed citations
3.
Abolafia‐Rosenzweig, Ronnie, Cenlin He, Fei Chen, et al.. (2024). Evaluating Noah‐MP Simulated Runoff and Snowpack in Heavily Burned Pacific‐Northwest Snow‐Dominated Catchments. Journal of Geophysical Research Atmospheres. 129(9). 3 indexed citations
4.
Walker, Curtis, et al.. (2024). Towards development of a roadway flood severity index. Transportation Research Interdisciplinary Perspectives. 27. 101218–101218. 2 indexed citations
5.
Abolafia‐Rosenzweig, Ronnie, David Gochis, T. H. Painter, et al.. (2024). Quantifying the Impacts of Fire‐Related Perturbations in WRF‐Hydro Terrestrial Water Budget Simulations in California's Feather River Basin. Hydrological Processes. 38(11). 3 indexed citations
6.
Towler, Erin, Sydney S. Foks, A. L. Dugger, et al.. (2023). Benchmarking high-resolution hydrologic model performance of long-term retrospective streamflow simulations in the contiguous United States. Hydrology and earth system sciences. 27(9). 1809–1825. 22 indexed citations
7.
McAllister, Mary Louise, David Gochis, Michael Barlage, et al.. (2020). The Community WRF-Hydro Modeling System Version 5.2 Updates & New Community Focused Testbed. AGU Fall Meeting Abstracts. 2020. 1 indexed citations
8.
Feng, Xiangyu, A. Rafieeinasab, David Kitzmiller, et al.. (2019). Calibrating the National Water Model V2.1 over the Contiguous United States. AGU Fall Meeting Abstracts. 2019. 2 indexed citations
9.
Castronova, Anthony M., A. L. Dugger, A. Rafieeinasab, et al.. (2019). Improving Access to Continental-Scale Hydrology Models for Research and Education - A Subsetting Adventure. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
10.
Cosgrove, B., A. L. Dugger, K. M. Sampson, et al.. (2018). Multi-variate evaluation of the NOAA National Water Model. AGU Fall Meeting Abstracts. 2018. 2 indexed citations
11.
McAllister, Mary Louise, David Gochis, Michael Barlage, et al.. (2018). The Community WRF-Hydro Modeling System Version 5 melding with the National Water Model: Enhancements and Education. AGU Fall Meeting Abstracts. 2018. 1 indexed citations
12.
Lahmers, Timothy M., P. Hazenberg, Hoshin V. Gupta, et al.. (2017). Enhancements to the WRF-Hydro Hydrologic Model Structure for Semi-arid Environments. AGU Fall Meeting Abstracts. 2017. 1 indexed citations
13.
Dugger, A. L.. (2017). Learning from the National Water Model: Regional Improvements in Streamflow Prediction through Experimental Parameter and Physics Updates to the WRF-Hydro Community Model. 4 indexed citations
14.
Dugger, A. L., A. Rafieeinasab, David Gochis, et al.. (2016). Evaluating CONUS-Scale Runoff Simulation across the National Water Model WRF-Hydro Implementation to Disentangle Regional Controls on Streamflow Generation and Model Error Contribution. AGU Fall Meeting Abstracts. 2016. 1 indexed citations
15.
Rafieeinasab, A., et al.. (2016). Evaluation of streamflow forecast for the National Water Model of U.S. National Weather Service. AGUFM. 2016. 1 indexed citations
16.
Gochis, David, Ken Howard, J. S. Deems, et al.. (2015). Fusing enhanced radar precipitation, in-situ hydrometeorological measurements and airborne LIDAR snowpack estimates in a hyper-resolution hydrologic model to improve seasonal water supply forecasts. 2015 AGU Fall Meeting. 2015. 1 indexed citations
17.
Gochis, David, Wei Yu, K. M. Sampson, et al.. (2015). Multi-scale model analysis and hindcast of the 2013 Colorado Flood. EGUGA. 7531. 1 indexed citations
18.
Gochis, David, Wei Yu, A. L. Dugger, et al.. (2014). Recent Developments and Applications of the WRF-Hydro Modeling System for Continental Scale Water Cycle Predictions. AGUFM. 2014. 1 indexed citations
19.
Tague, C., et al.. (2014). Seasonal and multi-year ecohydrologic responses to forest thinning. AGU Fall Meeting Abstracts. 2014. 1 indexed citations
20.
Dugger, A. L., et al.. (1997). Linking GIS with the Hydrologic Modeling System: An Investigation of the Midwest Flood of 1993. 1 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.

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