Jon Wicks

979 citations
21 papers · 662 · h-index 10

Impact in

Papers in

Jon Wicks

21 papers receiving 620 citations

Peers

Jon Wicks
Comparison fields: 5 of 55
  • Water Science and Technology 350
  • Global and Planetary Change 414
  • Soil Science 186
  • Earth-Surface Processes 114
  • Atmospheric Science 206
Replace Emanuele Preciso with:
Emanuele Preciso Italy
Arie Ben‐Zvi Israel
Kazimierz Banasik Poland
Giorgio Roth Italy
Agustín Millares Spain
Julio Garrote Spain
Shan Zheng China
Belén Martí-Cardona United Kingdom
Okan Fıstıkoğlu Türkiye
Calum Baugh United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Jon Wicks

Since Specialization
Citations

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

Fields of papers citing papers by Jon Wicks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jon Wicks, 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 Jon Wicks Line = papers co-authored together Jon Wicks links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005189
2 1996168
3 200665
4 201263
5
The SHE/SHESED basin scale water flow and sediment transport modelling system.
199541
6 200229
7 199224
8 201519
9 201112
10 20129
11 20059
12 20077
13 20076
14 20124
15 20134
16 20134
17
Applying probabilistic flood forecasting in flood incident management
20134
18 20142
19
An open-source software platform for data management, visualisation, model building and model sharing in water, energy and other resource modelling domains.
20151
20 20121

About Jon Wicks

Jon Wicks is a scholar working on Global and Planetary Change, Water Science and Technology, Civil and Structural Engineering, Atmospheric Science and Sociology and Political Science, having authored 21 papers that have together received 662 indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (13 papers), Hydrology and Watershed Management Studies (9 papers), Tropical and Extratropical Cyclones Research (4 papers), Hydrology and Drought Analysis (4 papers), Dam Engineering and Safety (3 papers), Meteorological Phenomena and Simulations (3 papers), Hydrology and Sediment Transport Processes (2 papers) and Disaster Management and Resilience (2 papers). The work is most often cited by research in Water Science and Technology (350 citations), Global and Planetary Change (414 citations), Soil Science (186 citations), Earth-Surface Processes (114 citations) and Atmospheric Science (206 citations). Jon Wicks has collaborated with scholars based in United Kingdom, India and United States. Frequent co-authors include James C. Bathurst, Jim W. Hall, Mohamed Hassan, Paul Bates, Richard Dawson, Matthew S. Horritt, Robert J. Nicholls, Roger A. Falconer, Binliang Lin and Ken Mylne. Their work appears in journals such as Journal of Flood Risk Management, Journal of Hydrology, Journal of Irrigation and Drainage Engineering, Natural Hazards and Coastal Engineering.

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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