Brian Skahill

623 citations
22 papers · 454 indexed · h-index 7

Brian Skahill

20 papers receiving 430 citations

Peers

Brian Skahill
Comparison fields: 5 of 51
  • Global and Planetary Change 248
  • Atmospheric Science 224
  • Water Science and Technology 179
  • Environmental Engineering 166
  • Ocean Engineering 48
Replace Mélanie Trudel with:
Mélanie Trudel Canada
Yeqiang Wen China
Prafulla Pokhrel Australia
Chunling Tang United States
Lei Zou China
Deepashree Raje India
Olivia Hitt United Kingdom
Mohsen Pourreza‐Bilondi Iran
Minjiao LU Japan
G.‐M. Saulnier France
Brian Skahill relative to Mélanie Trudel Canada Mélanie Trudel's profile →
Citations per field
00.5×1.7×
Mélanie Trudel · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 12
3 3
4 3
5 4
6 4
7 2
8 8
9
Bayesian Inference of Nonstationary Precipitation Intensity-Duration-Frequency Curves for Infrastructure Design
1
10 2
11
Practice driven and state-of-the-art methods to quantify hydrologic model uncertainty
4
12
Initial Development and Testing of a State-of-the-Art Method to Quantify Hydrologic Model Uncertainty
1
13
A practical guide to calibration of a GSSHA hydrologic model using ERDC automated model calibration software -efficient local search
3
14 49
15 181
16
RESEARCH ARTICLE Hybrid Optimization using an Evolutionary Strategy and Surrogate Assisted Local Search
1
17 29
18
More Efficient Derivative-based Watershed Model Calibration
3
19 79
20 2

About Brian Skahill

Brian Skahill is a scholar working on Tourism, Leisure and Hospitality Management, Environmental Engineering and Global and Planetary Change, having authored 22 papers that have together received 454 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (7 papers), Groundwater flow and contamination studies (7 papers) and Climate variability and models (5 papers). The work is most often cited by research in Water Science and Technology (179 citations), Atmospheric Science (224 citations) and Environmental Engineering (166 citations). Brian Skahill has collaborated with scholars based in United States, Germany and Australia. Frequent 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. Their work appears in journals such as Geophysical Research Letters, Journal of Hydrology and Bulletin of the American Meteorological Society.

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

Rankless by CCL
2026