David Leedal

689 total citations
22 papers, 479 citations indexed

About

David Leedal is a scholar working on Global and Planetary Change, Water Science and Technology and Economics and Econometrics. According to data from OpenAlex, David Leedal has authored 22 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Global and Planetary Change, 11 papers in Water Science and Technology and 7 papers in Economics and Econometrics. Recurrent topics in David Leedal's work include Hydrology and Watershed Management Studies (11 papers), Hydrology and Drought Analysis (11 papers) and Climate Change Policy and Economics (7 papers). David Leedal is often cited by papers focused on Hydrology and Watershed Management Studies (11 papers), Hydrology and Drought Analysis (11 papers) and Climate Change Policy and Economics (7 papers). David Leedal collaborates with scholars based in United Kingdom, Netherlands and Australia. David Leedal's co-authors include Andrew Jarvis, Keith Beven, Paul Bates, Jeffrey Neal, Peter C. Young, Caroline Keef, C. N. Hewitt, Albrecht Weerts, Paul J. Smith and Ben Kravitz and has published in prestigious journals such as Geophysical Research Letters, Nature Climate Change and Climatic Change.

In The Last Decade

David Leedal

22 papers receiving 466 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Leedal United Kingdom	12	395	193	177	73	51	22	479
Roman Olson South Korea	11	381 1.0×	50 0.3×	259 1.5×	47 0.6×	44 0.9×	25	504
Juan Antonio Añel Spain	16	554 1.4×	39 0.2×	544 3.1×	60 0.8×	17 0.3×	56	810
Julia Crook United Kingdom	13	525 1.3×	47 0.2×	447 2.5×	36 0.5×	39 0.8×	22	736
Qianjin Dong China	12	228 0.6×	240 1.2×	56 0.3×	75 1.0×	10 0.2×	35	401
Jintao Xu China	13	424 1.1×	83 0.4×	556 3.1×	120 1.6×	21 0.4×	34	762
Jan D. Keller Germany	14	442 1.1×	45 0.2×	459 2.6×	117 1.6×	7 0.1×	25	720
A. Gratzki Germany	7	382 1.0×	87 0.5×	248 1.4×	55 0.8×	6 0.1×	14	536
Nasser Najibi United States	9	249 0.6×	119 0.6×	145 0.8×	105 1.4×	6 0.1×	25	447
V. N. Khokhlov Ukraine	10	131 0.3×	44 0.2×	54 0.3×	52 0.7×	32 0.6×	41	279
A. Christofides Greece	8	286 0.7×	223 1.2×	106 0.6×	48 0.7×	14 0.3×	20	415

Countries citing papers authored by David Leedal

Since Specialization

Citations

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

Fields of papers citing papers by David Leedal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Leedal

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

All Works

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20 of 20 papers shown

Leedal, David, et al.. (2021). Prediction of flood quantiles at ungauged catchments for the contiguous USA using Artificial Neural Networks. Hydrology research. 53(1). 107–123. 19 indexed citations

Leedal, David, et al.. (2020). Regional flood frequency estimation for the contiguous USA using Artificial Neural Networks. 1 indexed citations

Leedal, David, et al.. (2018). A physical similarity approach to regionalisation using a global database of catchments. EGU General Assembly Conference Abstracts. 8808. 1 indexed citations

Jackson, Lawrence, Julia Crook, Andrew Jarvis, et al.. (2015). Assessing the controllability of Arctic sea ice extent by sulfate aerosol geoengineering. Geophysical Research Letters. 42(4). 1223–1231. 36 indexed citations

Leedal, David, Andrew Jarvis, & Lawrence Jackson. (2014). Climate Decision-Making as a Recursive Process. 17. 2838–2846. 1 indexed citations

Leedal, David, Albrecht Weerts, Paul J. Smith, & Keith Beven. (2013). Application of data-based mechanistic modelling for flood forecasting at multiple locations in the Eden catchment in the National Flood Forecasting System (England and Wales). Hydrology and earth system sciences. 17(1). 177–185. 20 indexed citations

Smith, Paul J., Keith Beven, David Leedal, Albrecht Weerts, & Peter C. Young. (2013). Testing probabilistic adaptive real‐time flood forecasting models. Journal of Flood Risk Management. 7(3). 265–279. 10 indexed citations

Beven, Keith, et al.. (2012). Adaptive correction of deterministic models to produce accurate probabilistic forecasts. 6 indexed citations

Smith, Paul J., K. Beven, Albrecht Weerts, & David Leedal. (2012). Adaptive correction of deterministic models to produce probabilistic forecasts. Hydrology and earth system sciences. 16(8). 2783–2799. 26 indexed citations

10.

Leedal, David, Albrecht Weerts, Paul J. Smith, & Keith Beven. (2012). A data based mechanistic real-time flood forecasting module for NFFS FEWS. 1 indexed citations

11.

Jarvis, Andrew, David Leedal, & C. N. Hewitt. (2012). Climate–society feedbacks and the avoidance of dangerous climate change. Nature Climate Change. 2(9). 668–671. 44 indexed citations

12.

Jarvis, Andrew & David Leedal. (2012). The Geoengineering Model Intercomparison Project (GeoMIP): a control perspective. Atmospheric Science Letters. 13(3). 157–163. 22 indexed citations

13.

Neal, Jeffrey, Caroline Keef, Paul Bates, Keith Beven, & David Leedal. (2012). Probabilistic flood risk mapping including spatial dependence. Hydrological Processes. 27(9). 1349–1363. 124 indexed citations

14.

Beven, Keith, David Leedal, Ruth E. Alcock, et al.. (2010). Guidelines for good practice in flood risk mapping:The catchment change network. Lancaster EPrints (Lancaster University). 2 indexed citations

15.

Beven, Keith, David Leedal, & Ruth E. Alcock. (2010). Uncertainty and good practice in hydrological prediction. Lancaster EPrints (Lancaster University). 5 indexed citations

16.

Li, Sile, Andrew Jarvis, & David Leedal. (2009). Are response function representations of the global carbon cycle ever interpretable?. Tellus B. 61(2). 361–361. 16 indexed citations

17.

Li, Sile, Andrew Jarvis, & David Leedal. (2009). Are response function representations of the global carbon cycle ever interpretable?. Tellus B. 61(2). 2 indexed citations

18.

Young, Peter C., et al.. (2009). Reduced Order Emulation of Distributed Hydraulic Simulation Models. IFAC Proceedings Volumes. 42(10). 1762–1767. 3 indexed citations

19.

Jarvis, Andrew, David Leedal, C. James Taylor, & Peter C. Young. (2008). Stabilizing global mean surface temperature: A feedback control perspective. Environmental Modelling & Software. 24(5). 665–674. 23 indexed citations

20.

Jarvis, Andrew, Peter C. Young, David Leedal, & Arun Chotai. (2007). A robust sequential CO2 emissions strategy based on optimal control of atmospheric CO2 concentrations. Climatic Change. 86(3-4). 357–373. 15 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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