Tom Le Quesne

11 total papers · 499 total citations
9 papers, 299 citations indexed

About

Tom Le Quesne is a scholar working on Water Science and Technology, Ocean Engineering and Global and Planetary Change. According to data from OpenAlex, Tom Le Quesne has authored 9 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Water Science and Technology, 4 papers in Ocean Engineering and 4 papers in Global and Planetary Change. Recurrent topics in Tom Le Quesne's work include Hydrology and Watershed Management Studies (5 papers), Water resources management and optimization (4 papers) and Flood Risk Assessment and Management (3 papers). Tom Le Quesne is often cited by papers focused on Hydrology and Watershed Management Studies (5 papers), Water resources management and optimization (4 papers) and Flood Risk Assessment and Management (3 papers). Tom Le Quesne collaborates with scholars based in United States, China and United Kingdom. Tom Le Quesne's co-authors include Yuanyuan Li, Fuxin Shen, Wen Kang, Edmund C. Penning‐Rowsell, Paul Sayers, Gerald E. Galloway, Robert Speed, John Matthews, Lei Wang and Jimmy O’Keeffe and has published in prestigious journals such as International Journal of River Basin Management, VTechWorks (Virginia Tech) and University of North Texas Digital Library (University of North Texas).

In The Last Decade

Tom Le Quesne

9 papers receiving 272 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Tom Le Quesne	195	125	84	67	34	9	299
Margot Hill Clarvis	117 0.6×	117 0.9×	82 1.0×	78 1.2×	15 0.4×	11	327
Andre Savitsky	84 0.4×	168 1.3×	72 0.9×	123 1.8×	21 0.6×	7	285
Sarah Freeman	113 0.6×	140 1.1×	47 0.6×	109 1.6×	29 0.9×	17	294
M. van Buuren	254 1.3×	86 0.7×	99 1.2×	38 0.6×	16 0.5×	10	302
Doğan Altınbilek	88 0.5×	107 0.9×	125 1.5×	81 1.2×	38 1.1×	10	327
Nicolas Avisse	169 0.9×	174 1.4×	57 0.7×	122 1.8×	78 2.3×	8	337
Antonio Krishnamurti Beleño de Oliveira	221 1.1×	74 0.6×	60 0.7×	36 0.5×	97 2.9×	15	295
Anna Serra‐Llobet	223 1.1×	90 0.7×	69 0.8×	27 0.4×	36 1.1×	19	343
Ruth Dittrich	170 0.9×	54 0.4×	70 0.8×	55 0.8×	26 0.8×	16	296
Suyog Chaudhari	167 0.9×	132 1.1×	59 0.7×	42 0.6×	31 0.9×	8	285

Countries citing papers authored by Tom Le Quesne

Since Specialization

Citations

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

Fields of papers citing papers by Tom Le Quesne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom Le Quesne. 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 Tom Le Quesne. The network helps show where Tom Le Quesne may publish in the future.

Co-authorship network of co-authors of Tom Le Quesne

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

All Works

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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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