David Boorman

1.5k total citations
27 papers, 988 citations indexed

About

David Boorman is a scholar working on Water Science and Technology, Environmental Chemistry and Ecology. According to data from OpenAlex, David Boorman has authored 27 papers receiving a total of 988 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Water Science and Technology, 11 papers in Environmental Chemistry and 8 papers in Ecology. Recurrent topics in David Boorman's work include Hydrology and Watershed Management Studies (16 papers), Soil and Water Nutrient Dynamics (11 papers) and Fish Ecology and Management Studies (5 papers). David Boorman is often cited by papers focused on Hydrology and Watershed Management Studies (16 papers), Soil and Water Nutrient Dynamics (11 papers) and Fish Ecology and Management Studies (5 papers). David Boorman collaborates with scholars based in United Kingdom, Spain and Netherlands. David Boorman's co-authors include Allan Lilly, John Hollis, Donald H. Burn, Richard J. Williams, Michael Hutchins, Paulette Posen, Andrew Eatherall, Sean Comber, Andrew C. Johnson and A. Jenkins and has published in prestigious journals such as The Science of The Total Environment, Journal of Hydrology and Freshwater Biology.

In The Last Decade

David Boorman

27 papers receiving 906 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Boorman United Kingdom 12 685 360 325 288 183 27 988
H. Vernon Knapp United States 11 808 1.2× 544 1.5× 164 0.5× 341 1.2× 229 1.3× 55 1.1k
Mary Yaeger United States 16 1.0k 1.5× 584 1.6× 383 1.2× 282 1.0× 126 0.7× 24 1.3k
Christian Leibundgut Germany 15 745 1.1× 463 1.3× 132 0.4× 428 1.5× 157 0.9× 22 1.1k
Johan Strömqvist Sweden 15 748 1.1× 370 1.0× 460 1.4× 217 0.8× 165 0.9× 27 1.1k
Philippe Mérot France 17 473 0.7× 263 0.7× 246 0.8× 251 0.9× 183 1.0× 28 772
I.G. Littlewood United Kingdom 16 980 1.4× 649 1.8× 235 0.7× 307 1.1× 154 0.8× 28 1.1k
Rewati Niraula United States 11 719 1.0× 481 1.3× 198 0.6× 332 1.2× 178 1.0× 15 1.0k
Chris Soulsby United Kingdom 18 880 1.3× 469 1.3× 302 0.9× 288 1.0× 118 0.6× 31 1.2k
Rajith Mukundan United States 19 738 1.1× 360 1.0× 230 0.7× 205 0.7× 408 2.2× 40 1.0k
M J Hinton Canada 9 586 0.9× 139 0.4× 531 1.6× 346 1.2× 87 0.5× 20 1.2k

Countries citing papers authored by David Boorman

Since Specialization
Citations

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

Fields of papers citing papers by David Boorman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Boorman

This figure shows the co-authorship network connecting the top 25 collaborators of David Boorman. A scholar is included among the top collaborators of David Boorman 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 David Boorman. David Boorman 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
1.
Szczykulska, Magdalena, David Boorman, J. R. Blake, & J. G. Evans. (2021). Technical note: A revised incoming neutron intensity correction factor for soil moisture monitoring using cosmic-ray neutron sensors. 1 indexed citations
2.
Prudhomme, Christel, Jamie Hannaford, Shaun Harrigan, et al.. (2017). Hydrological Outlook UK: an operational streamflow and groundwater level forecasting system at monthly to seasonal time scales. Hydrological Sciences Journal. 62(16). 2753–2768. 58 indexed citations
3.
Evans, Jonathan, Helen C. Ward, J. R. Blake, et al.. (2016). Soil water content in southern England derived from a cosmic‐ray soil moisture observing system – COSMOS‐UK. Hydrological Processes. 30(26). 4987–4999. 106 indexed citations
4.
Williams, Richard J. & David Boorman. (2012). Modelling in-stream temperature and dissolved oxygen at sub-daily time steps: An application to the River Kennet, UK. The Science of The Total Environment. 423. 104–110. 27 indexed citations
5.
Hutchins, Michael, et al.. (2010). Which offers more scope to suppress river phytoplankton blooms: Reducing nutrient pollution or riparian shading?. The Science of The Total Environment. 408(21). 5065–5077. 54 indexed citations
6.
Boorman, David, et al.. (2007). A model selection protocol to support the use of models for water management. Hydrology and earth system sciences. 11(1). 634–646. 16 indexed citations
7.
Hutchins, Michael, et al.. (2006). Performance benchmarking linked diffuse pollution and in-stream water quality models. River Systems. 17(1-2). 133–154. 8 indexed citations
8.
Kämäri, Juha, David Boorman, Charles Perrin, et al.. (2006). Process for benchmarking models: dialogue between water managers and modellers. River Systems. 17(1-2). 3–21. 5 indexed citations
9.
Williams, Richard J., et al.. (2005). Analysis of the QUESTOR water quality model using a Fourier amplitude sensitivity test (FAST) for two UK rivers. The Science of The Total Environment. 360(1-3). 290–304. 22 indexed citations
10.
11.
Boorman, David. (2003). LOIS in-stream water quality modelling. Part 1. Catchments and methods. The Science of The Total Environment. 314-316. 379–395. 38 indexed citations
12.
Tappin, Alan D., J R Harris, R.J. Uncles, & David Boorman. (2002). Potential modification of the fluxes of nitrogen from the Humber Estuary catchment (U.K.) to the North Sea in response to changing agricultural inputs and climate patterns. Hydrobiologia. 475-476(1). 65–77. 2 indexed citations
13.
Boorman, David, Willy Bauwens, Maria Mimikou, et al.. (2001). Climate, hydrochemistry and economics of surface water systems.. VUBIR (Vrije Universiteit Brussel). 8 indexed citations
14.
Proctor, Roger, Jason Holt, J R Harris, Alan D. Tappin, & David Boorman. (2000). Modelling the Humber Estuary Catchment and Coastal Zone. Estuarine and Coastal Modeling. 1259–1274. 6 indexed citations
15.
Eatherall, Andrew, et al.. (1998). Modelling in-stream water quality in LOIS. The Science of The Total Environment. 210-211. 499–517. 35 indexed citations
16.
Jenkins, Alan, et al.. (1996). The U.K. Acid Waters Monitoring Network: an assessment of chemistry data, 1988–93. Freshwater Biology. 36(1). 169–178. 8 indexed citations
17.
Jenkins, A., et al.. (1995). Surface water acidification in the UK; current status, recent trends and future predictions. Water Air & Soil Pollution. 85(2). 565–570. 4 indexed citations
18.
Boorman, David, John Hollis, & Allan Lilly. (1992). Hydrology of soil types (HOST). 6 indexed citations
19.
Boorman, David. (1985). A review of the Flood Studies Report rainfall-runoff model parameter estimation equations. OpenGrey (Institut de l'Information Scientifique et Technique). 9 indexed citations
20.
Bauwens, Willy, et al.. (1970). Modelling Water Quality In European Rivers. WIT Transactions on Ecology and the Environment. 33. 239–247. 1 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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