Chris Pierce

406 total citations
9 papers, 255 citations indexed

About

Chris Pierce is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Chris Pierce has authored 9 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Global and Planetary Change, 4 papers in Atmospheric Science and 4 papers in Water Science and Technology. Recurrent topics in Chris Pierce's work include Hydrology and Watershed Management Studies (4 papers), Flood Risk Assessment and Management (4 papers) and Meteorological Phenomena and Simulations (3 papers). Chris Pierce is often cited by papers focused on Hydrology and Watershed Management Studies (4 papers), Flood Risk Assessment and Management (4 papers) and Meteorological Phenomena and Simulations (3 papers). Chris Pierce collaborates with scholars based in United Kingdom, United States and Netherlands. Chris Pierce's co-authors include C. G. Collier, Paul Hardaker, R. J. Moore, Neil I. Fox, Norman Donaldson, Alan Seed, Elizabeth E. Ebert, Rita D. Roberts, Albrecht Weerts and John Wilson and has published in prestigious journals such as Bulletin of the American Meteorological Society, Risk Analysis and Weather and Forecasting.

In The Last Decade

Chris Pierce

8 papers receiving 242 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris Pierce United Kingdom 5 207 205 64 47 7 9 255
Kees Kok Netherlands 7 231 1.1× 242 1.2× 83 1.3× 55 1.2× 10 1.4× 10 296
Aitor Atencia Spain 11 226 1.1× 230 1.1× 34 0.5× 50 1.1× 6 0.9× 25 301
Xinyu Lu China 9 286 1.4× 207 1.0× 63 1.0× 83 1.8× 13 1.9× 24 344
Anna Jurczyk Poland 8 216 1.0× 118 0.6× 42 0.7× 90 1.9× 6 0.9× 16 249
Tressa Fowler United States 8 238 1.1× 226 1.1× 25 0.4× 31 0.7× 22 3.1× 14 282
M. Bolliger Switzerland 4 340 1.6× 220 1.1× 75 1.2× 113 2.4× 9 1.3× 8 379
Yanina García Skabar Argentina 9 378 1.8× 325 1.6× 53 0.8× 66 1.4× 21 3.0× 28 414
Pleun N. J. Bonekamp Netherlands 7 318 1.5× 145 0.7× 53 0.8× 14 0.3× 10 1.4× 8 347
J. Perket United States 6 125 0.6× 139 0.7× 34 0.5× 14 0.3× 12 1.7× 7 170
Julia Kukulies Sweden 10 230 1.1× 229 1.1× 25 0.4× 14 0.3× 12 1.7× 16 260

Countries citing papers authored by Chris Pierce

Since Specialization
Citations

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

Fields of papers citing papers by Chris Pierce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Pierce

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

All Works

9 of 9 papers shown
1.
Soyer, Refik, Fabrizio Ruggeri, David Rı́os Insua, Chris Pierce, & César Guevara. (2025). An adversarial risk analysis framework for software release decision support. Risk Analysis. 45(12). 4196–4212.
2.
Pierce, Chris, Mark Skidmore, Lucas H. Beem, et al.. (2024). Characterizing sub-glacial hydrology using radar simulations. ˜The œcryosphere. 18(4). 1495–1515. 2 indexed citations
3.
Speight, Linda, Steven J. Cole, R. J. Moore, et al.. (2016). Developing surface water flood forecasting capabilities in Scotland: an operational pilot for the 2014 Commonwealth Games in Glasgow. Journal of Flood Risk Management. 11(S2). 23 indexed citations
4.
Moore, R. J., Steven J. Cole, Sarah Dunn, et al.. (2015). Surface water flood forecasting for urban communities. NERC Open Research Archive (Natural Environment Research Council). 3 indexed citations
5.
Golding, Brian, Sue Ballard, Ken Mylne, et al.. (2013). Forecasting Capabilities for the London 2012 Olympics. Bulletin of the American Meteorological Society. 95(6). 883–896. 43 indexed citations
6.
Schellekens, Jaap, et al.. (2011). The use of MOGREPS ensemble rainfall forecasts in operational flood forecasting systems across England and Wales. Advances in geosciences. 29. 77–84. 30 indexed citations
7.
Pierce, Chris, Elizabeth E. Ebert, Alan Seed, et al.. (2004). The Nowcasting of Precipitation during Sydney 2000: An Appraisal of the QPF Algorithms. Weather and Forecasting. 19(1). 7–21. 63 indexed citations
8.
Fox, Neil I., et al.. (2000). On the performance of a conceptual model of convection during preparations for the world weather research project nowcasting intercomparison during the olympic games in Sydney, Australia. Physics and Chemistry of the Earth Part B Hydrology Oceans and Atmosphere. 25(10-12). 1299–1304. 3 indexed citations
9.
Pierce, Chris, et al.. (2000). GANDOLF: a system for generating automated nowcasts of convective precipitation. Meteorological Applications. 7(4). 341–360. 88 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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