Steven J. Cole

1.2k total citations
48 papers, 799 citations indexed

About

Steven J. Cole is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Steven J. Cole has authored 48 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Global and Planetary Change, 30 papers in Water Science and Technology and 17 papers in Atmospheric Science. Recurrent topics in Steven J. Cole's work include Flood Risk Assessment and Management (37 papers), Hydrology and Watershed Management Studies (30 papers) and Hydrology and Drought Analysis (16 papers). Steven J. Cole is often cited by papers focused on Flood Risk Assessment and Management (37 papers), Hydrology and Watershed Management Studies (30 papers) and Hydrology and Drought Analysis (16 papers). Steven J. Cole collaborates with scholars based in United Kingdom, Austria and Norway. Steven J. Cole's co-authors include R. J. Moore, Victoria A. Bell, David Jones, Matthew Fry, Nigel Roberts, Richard Forbes, Alison L. Kay, Ilaria Prosdocimi, Maliko Tanguy and D. Morris and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hydrology and Quarterly Journal of the Royal Meteorological Society.

In The Last Decade

Steven J. Cole

41 papers receiving 753 citations

Peers

Steven J. Cole

GPC

WST

Yeugeniy M. Gusev Russia

Marco Braun Canada

Emmanuel Roulin Belgium

Kazuhiko Fukami Japan

Tirthankar Roy United States

Hapu Arachchige Prasantha Hapuarachchi Australia

Frank Seglenieks Canada

Magali Troin Canada

Satish Bastola United States

Kabir Rasouli Canada

Yeugeniy M. Gusev Russia

Steven J. Cole

570 ×0.9

GPC

659 ×1.4

WST

224 ×0.6

256 ×1.6

27 ×0.8

Citations per year, relative to Steven J. Cole Steven J. Cole (= 1×) peers Yeugeniy M. Gusev

Countries citing papers authored by Steven J. Cole

Since Specialization

Citations

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

Fields of papers citing papers by Steven J. Cole

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven J. Cole. 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 Steven J. Cole. The network helps show where Steven J. Cole may publish in the future.

Co-authorship network of co-authors of Steven J. Cole

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Cole, Steven J., et al.. (2023). Nowcasting convective activity for the Sahel: A simple probabilistic approach using real‐time and historical satellite data on cloud‐top temperature. Quarterly Journal of the Royal Meteorological Society. 150(759). 597–617. 1 indexed citations

Taylor, Christopher M., Cornelia Klein, Cheikh Dione, et al.. (2022). Nowcasting tracks of severe convective storms in West Africa from observations of land surface state. Environmental Research Letters. 17(3). 34016–34016. 10 indexed citations

Wallbank, John R., et al.. (2021). Estimating snow water equivalent using cosmic‐ray neutron sensors from the COSMOS‐UK network. Hydrological Processes. 35(5). 5 indexed citations

Stewart, Elizabeth, Yu‐Ru Lin, Steven J. Cole, et al.. (2021). Sponge cities and sustainable drainage systems: sharing best practice in China and the UK. null–null. 1 indexed citations

Gunawan, Oliver, et al.. (2020). Developing an impact library for forecasting surface water flood risk. Journal of Flood Risk Management. 13(3). 17 indexed citations

Wells, Steven, Steven J. Cole, R. J. Moore, et al.. (2019). Distributed hydrological modelling for forecasting water discharges from the land area draining to the Great Barrier Reef coastline. EGU General Assembly Conference Abstracts. 16408. 1 indexed citations

Moore, R. J., et al.. (2019). Towards operational joint river flow and precipitation ensemble verification: considerations and strategies given limited ensemble records. Journal of Hydrology. 577. 123966–123966. 10 indexed citations

Gouldby, Ben, et al.. (2016). Real-time flood inundation forecasting and mapping for key railway infrastructure: a UK case study. SHILAP Revista de lepidopterología. 7. 18020–18020. 5 indexed citations

Cole, Steven J.. (2016). STATE ENFORCEMENT EFFORTS DIRECTED AGAINST UNFAIR OR DECEPTIVE PRACTICES.

10.

Keller, Virginie, Maliko Tanguy, Ilaria Prosdocimi, et al.. (2015). CEH-GEAR: 1 km resolution daily and monthly areal rainfall estimates for the UK for hydrological use. 9 indexed citations

11.

Keller, Virginie, Maliko Tanguy, Ilaria Prosdocimi, et al.. (2015). CEH-GEAR: 1 km resolution daily and monthly areal rainfall estimates for the UK for hydrological and other applications. Earth system science data. 7(1). 143–155. 101 indexed citations

12.

Cranston, Michael, et al.. (2012). Countrywide flood forecasting in Scotland: challenges for hydrometeorological model uncertainty and prediction. NERC Open Research Archive (Natural Environment Research Council). 15 indexed citations

13.

Moore, R. J., et al.. (2010). Sources of uncertainty and probability bands for flood forecasts: an upland catchment case study. EGUGA. 15609. 1 indexed citations

14.

Cole, Steven J., et al.. (2010). JUDGMENT AND MERCY.

15.

Cole, Steven J., Alice J. Robson, Victoria A. Bell, & R. J. Moore. (2009). Model initialisation, data assimilation and probabilistic flood forecasting for distributed hydrological models. EGUGA. 8048. 5 indexed citations

16.

Cole, Steven J. & R. J. Moore. (2009). Distributed hydrological modelling using weather radar in gauged and ungauged basins. Advances in Water Resources. 32(7). 1107–1120. 91 indexed citations

17.

Cole, Steven J. & R. J. Moore. (2008). Hydrological modelling using raingauge- and radar-based estimators of areal rainfall. Journal of Hydrology. 358(3-4). 159–181. 133 indexed citations

18.

Cole, Steven J., R. J. Moore, & Nigel Roberts. (2007). Using high resolution Numerical Weather Prediction models to reduce and estimate uncertainty in flood forecasting. AGU Fall Meeting Abstracts. 2007. 1 indexed citations

19.

Moore, R. J., Steven J. Cole, Victoria A. Bell, & David Jones. (2006). Issues in flood forecasting: ungauged basins, extreme floods and uncertainty. IAHS-AISH publication. 103–122. 64 indexed citations

20.

Moore, R. J., Victoria A. Bell, Steven J. Cole, & D. A. Jones. (2006). Spatio-temporal rainfall datasets and their use in evaluating the extreme event performance of hydrological models. 7 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.

Explore authors with similar magnitude of impact