David H. E. Rees

64 papers receiving 1.1k citations

Peers

David H. E. Rees
Comparison fields: 5 of 155
  • Transportation 138
  • Management Science and Operations Research 129
  • Parasitology 63
  • Statistics and Probability 62
  • Pollution 75
Replace Andréas Karlsson with:
Andréas Karlsson Sweden
Leonardo Soares Bastos Brazil
Julien Jacques France
Jonathan D. Cryer United States
Mohammad Rezaul Karim United States
Li‐Chun Zhang United Kingdom
Roselinde Kessels Belgium
Dalson Britto Figueiredo Filho Brazil
Paul W. Tidwell United States
Liangliang Wang China
David H. E. Rees relative to Andréas Karlsson Sweden Andréas Karlsson's profile →
Citations per field
00.5×5×10×12.5×
Andréas Karlsson · 1×
Citations per year

Countries citing papers authored by David H. E. Rees

Since Specialization
Citations

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

Fields of papers citing papers by David H. E. Rees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David H. E. Rees, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David H. E. Rees Line = papers co-authored together David H. E. Rees links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014181
2 2015134
3 201979
4 201674
5 202065
6 195659
7 201839
8 195737
9 201925
10 196525
11 200123
12 201223
13 202222
14 199422
15 197020
16 196920
17 201619
18 199417
19 197017
20 201216

About David H. E. Rees

David H. E. Rees is a scholar working on Parasitology, Atomic and Molecular Physics, and Optics, Management Science and Operations Research, Physical and Theoretical Chemistry and Infectious Diseases, having authored 68 papers that have together received 1.2k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (9 papers), Advanced Chemical Physics Studies (8 papers), Viral Infections and Vectors (6 papers), graph theory and CDMA systems (6 papers), Optimal Experimental Design Methods (6 papers), Vector-Borne Animal Diseases (5 papers), Advanced Physical and Chemical Molecular Interactions (5 papers) and Quantum, superfluid, helium dynamics (4 papers). The work is most often cited by research in Transportation (138 citations), Management Science and Operations Research (129 citations), Parasitology (63 citations), Statistics and Probability (62 citations) and Pollution (75 citations). David H. E. Rees has collaborated with scholars based in United Kingdom, New Zealand and United States. Frequent co-authors include GEORGE G. HALL, Boyd Anthony Swinburn, Alexandra K. Macmillan, Alistair J Woodward, JENNIE L. CONNOR, ROBIN A. KEARNS, Karen Witten, Sarah L. Gerritsen, Janet R. Stephenson and M. J. R. Healy. Their work appears in journals such as International Journal of Quantum Chemistry, Discrete Mathematics, International Journal of Environmental Research and Public Health, Molecular Physics and Annals of the Rheumatic Diseases.

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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