Will Shepherd

514 citations
28 papers · 367 · h-index 9

Impact in

Papers in

Will Shepherd

26 papers receiving 354 citations

Peers

Will Shepherd
Comparison fields: 5 of 55
  • Environmental Engineering 176
  • Civil and Structural Engineering 194
  • Water Science and Technology 124
  • Global and Planetary Change 120
  • Health, Toxicology and Mutagenesis 36
Replace Mario Díaz-Granados with:
Mario Díaz-Granados Colombia
Musandji Fuamba Canada
Marco Carbone Italy
Martin Pleau Canada
Lakhdar Djemili Algeria
Rafael G. Quimpo United States
Giuseppina Garofalo Italy
Hubert Colas Norway
P. Le Gauffre France
Will Shepherd relative to Mario Díaz-Granados Colombia Mario Díaz-Granados's profile →
Citations per field
00.5×1.5×2.1×
Mario Díaz-Granados · 1×
Citations per year

Countries citing papers authored by Will Shepherd

Since Specialization
Citations

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

Fields of papers citing papers by Will Shepherd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Will Shepherd, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Will Shepherd Line = papers co-authored together Will Shepherd links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200662
2 201157
3 201546
4 201444
5 201340
6 201931
7 202111
8 201411
9 20038
10 20166
11 20225
12 20015
13 20145
14 20185
15 20025
16 20235
17 20224
18 20174
19 20163
20 20172

About Will Shepherd

Will Shepherd is a scholar working on Civil and Structural Engineering, Environmental Engineering, Water Science and Technology, Global and Planetary Change and Health, Toxicology and Mutagenesis, having authored 28 papers that have together received 367 indexed citations. Recurring topics across this work include Water Systems and Optimization (17 papers), Urban Stormwater Management Solutions (13 papers), Flood Risk Assessment and Management (7 papers), Water Treatment and Disinfection (6 papers), Hydraulic flow and structures (5 papers), Water Quality Monitoring Technologies (4 papers), Integrated Energy Systems Optimization (3 papers) and Geothermal Energy Systems and Applications (3 papers). The work is most often cited by research in Environmental Engineering (176 citations), Civil and Structural Engineering (194 citations), Water Science and Technology (124 citations), Global and Planetary Change (120 citations) and Health, Toxicology and Mutagenesis (36 citations). Will Shepherd has collaborated with scholars based in United Kingdom, Germany and Portugal. Frequent co-authors include A. J. Saul, Alma Schellart, James Shucksmith, Joby Boxall, Richard Collins, S. R. Mounce, Matteo Rubinato, Orazio Giustolisi, Adrian J. Saul and Luigi Berardi. Their work appears in journals such as Water Science & Technology, Journal of Water Resources Planning and Management, Advances in Water Resources, Geomechanics for Energy and the Environment and Water and Environment Journal.

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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