Brian Skahill

623 total citations
22 papers, 454 citations indexed

About

Brian Skahill is a scholar working on Global and Planetary Change, Environmental Engineering and Water Science and Technology. According to data from OpenAlex, Brian Skahill has authored 22 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Global and Planetary Change, 9 papers in Environmental Engineering and 7 papers in Water Science and Technology. Recurrent topics in Brian Skahill's work include Hydrology and Watershed Management Studies (7 papers), Groundwater flow and contamination studies (7 papers) and Climate variability and models (5 papers). Brian Skahill is often cited by papers focused on Hydrology and Watershed Management Studies (7 papers), Groundwater flow and contamination studies (7 papers) and Climate variability and models (5 papers). Brian Skahill collaborates with scholars based in United States, Germany and Australia. Brian Skahill's co-authors include John Doherty, Amir AghaKouchak, Gail Skofronick‐Jackson, Soroosh Sorooshian, Phillip A. Arkin, John Eylander, Jan M. H. Hendrickx, Robert J. Kuligowski, Efi Foufoula‐Georgiou and Russell S. Harmon and has published in prestigious journals such as Geophysical Research Letters, Journal of Hydrology and Bulletin of the American Meteorological Society.

In The Last Decade

Brian Skahill

20 papers receiving 430 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian Skahill United States 7 248 224 179 166 48 22 454
Olivia Hitt United Kingdom 6 178 0.7× 116 0.5× 171 1.0× 133 0.8× 27 0.6× 6 360
Kazi Ali Tamaddun United States 9 257 1.0× 78 0.3× 184 1.0× 114 0.7× 54 1.1× 16 348
Boosik Kang South Korea 10 259 1.0× 134 0.6× 195 1.1× 100 0.6× 30 0.6× 51 387
Prafulla Pokhrel Australia 11 486 2.0× 177 0.8× 497 2.8× 234 1.4× 42 0.9× 16 634
J. A. Velázquez Canada 9 519 2.1× 207 0.9× 507 2.8× 111 0.7× 43 0.9× 9 624
Sudershan Gangrade United States 15 464 1.9× 227 1.0× 366 2.0× 142 0.9× 59 1.2× 28 614
Markus Wallner Germany 9 212 0.9× 84 0.4× 230 1.3× 73 0.4× 25 0.5× 17 319
Yoichi Iwami Japan 10 286 1.2× 105 0.5× 186 1.0× 61 0.4× 16 0.3× 45 366
Feifei Yuan China 14 335 1.4× 217 1.0× 154 0.9× 128 0.8× 14 0.3× 27 448
Jing Zou China 9 188 0.8× 138 0.6× 172 1.0× 66 0.4× 30 0.6× 26 369

Countries citing papers authored by Brian Skahill

Since Specialization
Citations

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

Fields of papers citing papers by Brian Skahill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian Skahill. 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 Brian Skahill. The network helps show where Brian Skahill may publish in the future.

Co-authorship network of co-authors of Brian Skahill

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Skahill. A scholar is included among the top collaborators of Brian Skahill 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 Brian Skahill. Brian Skahill 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
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Skahill, Brian, et al.. (2022). Temperature-based Climate Projections of Pinot noir Suitability in the Willamette Valley American Viticultural Area. OENO One. 56(1). 209–225. 3 indexed citations
5.
Love, Charlotte, et al.. (2022). An Effective Trend Surface Fitting Framework for Spatial Analysis of Extreme Events. Geophysical Research Letters. 49(11). 4 indexed citations
6.
Skahill, Brian, et al.. (2021). Ensembles for Viticulture Climate Classifications of the Willamette Valley Wine Region. Climate. 9(9). 140–140. 4 indexed citations
7.
Love, Charlotte, et al.. (2020). Integrating Climatic and Physical Information in a Bayesian Hierarchical Model of Extreme Daily Precipitation. Water. 12(8). 2211–2211. 2 indexed citations
8.
Cerco, Carl F., M Schultz, Mark R. Noel, Brian Skahill, & Sung‐Chan Kim. (2018). A fate and transport model for Asian carp environmental DNA in the Chicago area waterways system. Journal of Great Lakes Research. 44(4). 813–823. 8 indexed citations
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Skahill, Brian, et al.. (2016). Bayesian Inference of Nonstationary Precipitation Intensity-Duration-Frequency Curves for Infrastructure Design. US Army Corps of Engineers: Engineer Research and Development Center (Knowledge Core). 1 indexed citations
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Skahill, Brian. (2013). Practice driven and state-of-the-art methods to quantify hydrologic model uncertainty. US Army Corps of Engineers: Engineer Research and Development Center (Knowledge Core). 4 indexed citations
12.
Skahill, Brian. (2013). Initial Development and Testing of a State-of-the-Art Method to Quantify Hydrologic Model Uncertainty. US Army Corps of Engineers: Engineer Research and Development Center (Knowledge Core). 1 indexed citations
13.
Skahill, Brian, et al.. (2012). A practical guide to calibration of a GSSHA hydrologic model using ERDC automated model calibration software -efficient local search. US Army Corps of Engineers: Engineer Research and Development Center (Knowledge Core). 3 indexed citations
14.
Sorooshian, Soroosh, Amir AghaKouchak, Phillip A. Arkin, et al.. (2011). Advancing the Remote Sensing of Precipitation. Bulletin of the American Meteorological Society. 92(10). 1271–1272. 49 indexed citations
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Sorooshian, Soroosh, Amir AghaKouchak, Phillip A. Arkin, et al.. (2011). Advanced Concepts on Remote Sensing of Precipitation at Multiple Scales. Bulletin of the American Meteorological Society. 92(10). 1353–1357. 181 indexed citations
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Skahill, Brian, et al.. (2010). RESEARCH ARTICLE Hybrid Optimization using an Evolutionary Strategy and Surrogate Assisted Local Search. 1 indexed citations
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Skahill, Brian, et al.. (2008). More efficient PEST compatible model independent model calibration. Environmental Modelling & Software. 24(4). 517–529. 29 indexed citations
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Skahill, Brian, et al.. (2006). More Efficient Derivative-based Watershed Model Calibration. AGU Fall Meeting Abstracts. 2006. 3 indexed citations
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Skahill, Brian & John Doherty. (2006). Efficient accommodation of local minima in watershed model calibration. Journal of Hydrology. 329(1-2). 122–139. 79 indexed citations
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Skahill, Brian, et al.. (2002). GIS-Based Artificial Neural Network and Processed-Based HSPF Model for Watershed Runoff in Sinclair and Dyes Inlet, WA. Proceedings of the Water Environment Federation. 2002(2). 1547–1564. 2 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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