D. Clarke

2.6k total citations · 1 hit paper
47 papers, 1.8k citations indexed

About

D. Clarke is a scholar working on Global and Planetary Change, Water Science and Technology and Ocean Engineering. According to data from OpenAlex, D. Clarke has authored 47 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Global and Planetary Change, 9 papers in Water Science and Technology and 8 papers in Ocean Engineering. Recurrent topics in D. Clarke's work include Flood Risk Assessment and Management (9 papers), Water resources management and optimization (7 papers) and Soil and Unsaturated Flow (6 papers). D. Clarke is often cited by papers focused on Flood Risk Assessment and Management (9 papers), Water resources management and optimization (7 papers) and Soil and Unsaturated Flow (6 papers). D. Clarke collaborates with scholars based in United Kingdom, Bangladesh and Kazakhstan. D. Clarke's co-authors include Joel Smethurst, William Powrie, Robert J. Nicholls, Laurence Jones, C. Stratford, Martin J. Smith, Arif A. Anwar, John W. Redhead, Tom H. Oliver and Katrina Sharps and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Renewable and Sustainable Energy Reviews and The Science of The Total Environment.

In The Last Decade

D. Clarke

46 papers receiving 1.7k citations

Hit Papers

Empirical validation of the InVEST water yield ecosystem ... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Clarke United Kingdom 21 794 333 311 300 268 47 1.8k
Javed Iqbal Pakistan 28 577 0.7× 784 2.4× 199 0.6× 272 0.9× 330 1.2× 103 2.3k
Saeid Eslamian Iran 26 1.4k 1.7× 928 2.8× 271 0.9× 260 0.9× 126 0.5× 168 2.7k
Martina Zeleňáková Slovakia 26 850 1.1× 761 2.3× 260 0.8× 142 0.5× 225 0.8× 251 2.4k
So Kazama Japan 26 968 1.2× 863 2.6× 209 0.7× 162 0.5× 301 1.1× 230 2.4k
Jing’ai Wang China 22 1.1k 1.4× 236 0.7× 226 0.7× 336 1.1× 159 0.6× 87 2.1k
A. Sarangi India 25 596 0.8× 849 2.5× 155 0.5× 529 1.8× 175 0.7× 100 2.0k
Mahesh Kumar Jat India 20 1.2k 1.5× 320 1.0× 128 0.4× 169 0.6× 109 0.4× 48 1.7k
Guido Wyseure Belgium 24 867 1.1× 904 2.7× 294 0.9× 425 1.4× 89 0.3× 92 2.4k
James E. Neumann United States 25 869 1.1× 265 0.8× 179 0.6× 84 0.3× 179 0.7× 64 2.4k
Lianyou Liu China 28 791 1.0× 153 0.5× 207 0.7× 642 2.1× 236 0.9× 102 2.0k

Countries citing papers authored by D. Clarke

Since Specialization
Citations

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

Fields of papers citing papers by D. Clarke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Clarke

This figure shows the co-authorship network connecting the top 25 collaborators of D. Clarke. A scholar is included among the top collaborators of D. Clarke 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 D. Clarke. D. Clarke 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.
Marcinko, Charlotte L.J., Robert J. Nicholls, Tim M. Daw, et al.. (2021). The Development of a Framework for the Integrated Assessment of SDG Trade-Offs in the Sundarban Biosphere Reserve. Water. 13(4). 528–528. 20 indexed citations
2.
Kebede, Abiy S., et al.. (2021). Integrated assessment of the food-water-land-ecosystems nexus in Europe: Implications for sustainability. The Science of The Total Environment. 768. 144461–144461. 29 indexed citations
3.
Wardrop, Nicola, Warren C. Jochem, Tomas J. Bird, et al.. (2018). Spatially disaggregated population estimates in the absence of national population and housing census data. Proceedings of the National Academy of Sciences. 115(14). 3529–3537. 211 indexed citations
4.
Lázár, Attila N., Helen Adams, Ricardo Safra de Campos, et al.. (2016). Understanding Migration as an Adaptation in Deltas Using a Bayesian Network Model. AGU Fall Meeting Abstracts. 2016. 1 indexed citations
5.
Redhead, John W., C. Stratford, Katrina Sharps, et al.. (2016). Empirical validation of the InVEST water yield ecosystem service model at a national scale. The Science of The Total Environment. 569-570. 1418–1426. 329 indexed citations breakdown →
6.
Clarke, D., Mashfiqus Salehin, Muhammad Muhitur Rahman, et al.. (2015). Salinity Impacts on Agriculture and Groundwater in Delta Regions. 2015 AGU Fall Meeting. 2015. 1 indexed citations
7.
Stevens, Andrew, D. Clarke, Robert J. Nicholls, & Matthew P. Wadey. (2015). Estimating the long-term historic evolution of exposure to flooding of coastal populations. Natural hazards and earth system sciences. 15(6). 1215–1229. 16 indexed citations
8.
Clarke, D., et al.. (2015). Projections of on-farm salinity in coastal Bangladesh. Environmental Science Processes & Impacts. 17(6). 1127–1136. 95 indexed citations
9.
Glendinning, S. G., P. Helm, M. Rouainia, et al.. (2015). Research-informed design, management and maintenance of infrastructure slopes: development of a multi-scalar approach. IOP Conference Series Earth and Environmental Science. 26. 12005–12005. 16 indexed citations
10.
Stevens, Andrew, D. Clarke, & Robert J. Nicholls. (2014). Trends in reported flooding in the UK: 1884–2013. Hydrological Sciences Journal. 61(1). 50–63. 52 indexed citations
12.
Narayan, Siddharth, Susan Hanson, Robert J. Nicholls, et al.. (2012). A holistic model for coastal flooding using system diagrams and the Source-Pathway-Receptor (SPR) concept. Natural hazards and earth system sciences. 12(5). 1431–1439. 49 indexed citations
13.
Clarke, D. & Joel Smethurst. (2010). Effects of climate change on cycles of wetting and drying in engineered clay slopes in England. Quarterly Journal of Engineering Geology and Hydrogeology. 43(4). 473–486. 51 indexed citations
14.
Haq, Zia Ul, Arif A. Anwar, & D. Clarke. (2008). Evaluation of a Genetic Algorithm for the Irrigation Scheduling Problem. Journal of Irrigation and Drainage Engineering. 134(6). 737–744. 22 indexed citations
15.
Clarke, D.. (2007). Impact of Climate Change on Water Resources in Jialing River of Upper Yangtze River Basin. Journal of Yangtze River Scientific Research Institute. 1 indexed citations
16.
Clarke, D., et al.. (2005). Reconstructing irrigation at Otrar Oasis, Kazakhstan, AD 800–1700. Irrigation and Drainage. 54(4). 375–388. 9 indexed citations
17.
Anwar, Arif A. & D. Clarke. (2001). Irrigation Scheduling Using Mixed-Integer Linear Programming. Journal of Irrigation and Drainage Engineering. 127(2). 63–69. 53 indexed citations
18.
Clarke, D., et al.. (2000). CropWat for Windows : User guide. ePrints Soton (University of Southampton). 132 indexed citations
19.
Clarke, D., et al.. (1998). New software for crop water requirements and irrigation scheduling. ePrints Soton (University of Southampton). 24 indexed citations
20.
Clarke, D.. (1996). Software evaluation criteria - the users. ePrints Soton (University of Southampton).

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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