David Rees

59 papers receiving 988 citations

Peers

David Rees
Comparison fields: 5 of 152
  • Transportation 140
  • Management Science and Operations Research 140
  • Parasitology 55
  • Safety, Risk, Reliability and Quality 69
  • Statistics and Probability 58
Replace Andréas Karlsson with:
Andréas Karlsson Sweden
Leonardo Soares Bastos Brazil
Phillip N. Price United States
Li‐Chun Zhang United Kingdom
Julien Jacques France
Jonathan D. Cryer United States
Andreas Brezger Germany
David S. Matteson United States
Paul W. Tidwell United States
Jim Koehler United States
David Rees relative to Andréas Karlsson Sweden Andréas Karlsson's profile →
Citations per field
00.5×7.8×
Andréas Karlsson · 1×
Citations per year

Countries citing papers authored by David Rees

Since Specialization
Citations

This map shows the geographic impact of David 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 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 Rees more than expected).

Fields of papers citing papers by David Rees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David 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 Rees Line = papers co-authored together David Rees links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014164
2 2015123
3 201968
4 201668
5 195657
6 202052
7 195734
8 201832
9 196522
10 201222
11 200121
12 201920
13 199420
14 196920
15 197018
16 197017
17 201617
18 202216
19 201215
20 199415

About David Rees

David Rees is a scholar working on Atomic and Molecular Physics, and Optics, General Health Professions, Management Science and Operations Research, Electrical and Electronic Engineering and Public Health, Environmental and Occupational Health, having authored 63 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (8 papers), graph theory and CDMA systems (6 papers), Vector-borne infectious diseases (6 papers), Optimal Experimental Design Methods (6 papers), Advanced Physical and Chemical Molecular Interactions (5 papers), Viral Infections and Vectors (5 papers), Community Health and Development (5 papers) and Chemical Thermodynamics and Molecular Structure (4 papers). The work is most often cited by research in Transportation (140 citations), Management Science and Operations Research (140 citations), Parasitology (55 citations), Safety, Risk, Reliability and Quality (69 citations) and Statistics and Probability (58 citations). David Rees has collaborated with scholars based in United Kingdom, New Zealand and United States. Frequent co-authors include G. G. Hall, Boyd Swinburn, Alistair Woodward, Karen Witten, Jennie Connor, Alexandra Macmillan, Robin Kearns, M. J. R. Healy, Janet Stephenson and P. M. Grundy. 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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