Richard M. Bailey

9.1k total citations · 1 hit paper
121 papers, 5.4k citations indexed

About

Richard M. Bailey is a scholar working on Atmospheric Science, Earth-Surface Processes and Global and Planetary Change. According to data from OpenAlex, Richard M. Bailey has authored 121 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Atmospheric Science, 43 papers in Earth-Surface Processes and 19 papers in Global and Planetary Change. Recurrent topics in Richard M. Bailey's work include Geology and Paleoclimatology Research (59 papers), Aeolian processes and effects (33 papers) and Geological formations and processes (23 papers). Richard M. Bailey is often cited by papers focused on Geology and Paleoclimatology Research (59 papers), Aeolian processes and effects (33 papers) and Geological formations and processes (23 papers). Richard M. Bailey collaborates with scholars based in United Kingdom, South Africa and United States. Richard M. Bailey's co-authors include Joy Singarayer, Lee J. Arnold, David S.G. Thomas, Edward J. Rhodes, Stephen Stokes, Katherine J. Willis, B.W. Smith, Giles Wiggs, Jerome Mayaud and Megan J. Cole and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Richard M. Bailey

117 papers receiving 5.2k citations

Hit Papers

Designing a circular carbon and plastics economy for a su... 2024 2026 2025 2024 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard M. Bailey United Kingdom 40 3.3k 1.4k 980 971 774 121 5.4k
Bo Li China 41 3.4k 1.0× 814 0.6× 1.3k 1.3× 1.3k 1.3× 456 0.6× 207 5.2k
Victor J. Polyak United States 43 4.9k 1.5× 2.0k 1.4× 1.0k 1.1× 1.8k 1.9× 1.3k 1.7× 144 6.9k
Jakob Wallinga Netherlands 42 5.4k 1.7× 2.6k 1.9× 881 0.9× 1.0k 1.1× 1.8k 2.3× 157 8.0k
Edward J. Rhodes United Kingdom 45 4.1k 1.3× 1.5k 1.0× 1.5k 1.6× 1.3k 1.3× 827 1.1× 233 7.3k
Thomas Stevens Sweden 44 5.0k 1.5× 2.1k 1.5× 1.2k 1.3× 1.0k 1.1× 551 0.7× 144 6.0k
Slobodan B. Marković Serbia 47 5.4k 1.7× 1.4k 1.0× 2.0k 2.0× 987 1.0× 523 0.7× 258 7.9k
Liping Zhou China 44 5.6k 1.7× 1.8k 1.3× 1.5k 1.5× 1.8k 1.9× 1.5k 2.0× 245 10.0k
Ronald I. Dorn United States 37 2.2k 0.7× 1.1k 0.8× 809 0.8× 1.0k 1.0× 579 0.7× 154 4.6k
Daniel Richter Germany 46 2.8k 0.9× 1.3k 0.9× 2.0k 2.0× 2.5k 2.6× 510 0.7× 255 6.6k
Antonio Delgado‐Huertas Spain 51 3.0k 0.9× 822 0.6× 863 0.9× 1.4k 1.4× 2.4k 3.1× 353 8.3k

Countries citing papers authored by Richard M. Bailey

Since Specialization
Citations

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

Fields of papers citing papers by Richard M. Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard M. Bailey. 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 Richard M. Bailey. The network helps show where Richard M. Bailey may publish in the future.

Co-authorship network of co-authors of Richard M. Bailey

This figure shows the co-authorship network connecting the top 25 collaborators of Richard M. Bailey. A scholar is included among the top collaborators of Richard M. Bailey 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 Richard M. Bailey. Richard M. Bailey 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
2.
Madsen, Jens Koed, et al.. (2024). Triggering the tragedy: The simulated effects of alternative fisher goals on marine fisheries and fisheries policy. Ecological Complexity. 57. 101070–101070. 2 indexed citations
4.
Vidal, Fernando, Ryan W. F. Kerr, Caitlin McElroy, et al.. (2024). Designing a circular carbon and plastics economy for a sustainable future. Nature. 626(7997). 45–57. 241 indexed citations breakdown →
5.
Neil, Emily, et al.. (2020). Agent-based modelling as a tool for elephant poaching mitigation. Ecological Modelling. 427. 109054–109054. 6 indexed citations
6.
Richards, Jenny, et al.. (2020). Modelling the risk of deterioration at earthen heritage sites in drylands. Earth Surface Processes and Landforms. 45(11). 2401–2416. 19 indexed citations
7.
Bailey, Richard M., et al.. (2020). OSIRIS: A model for integrating the effects of multiple stressors on marine ecosystems. Journal of Theoretical Biology. 493. 110211–110211. 9 indexed citations
8.
Arrigo, Kevin R., Gert L. van Dijken, Mary A. Cameron, et al.. (2020). Synergistic interactions among growing stressors increase risk to an Arctic ecosystem. Nature Communications. 11(1). 6255–6255. 35 indexed citations
9.
Bailey, Richard M., Robert L. Axtell, Matthew G. Burgess, et al.. (2018). A computational approach to managing coupled human–environmental systems: the POSEIDON model of ocean fisheries. Sustainability Science. 14(2). 259–275. 34 indexed citations
10.
Thomas, David S.G., et al.. (2017). Controls on sand ramp formation in southern Namibia. Earth Surface Processes and Landforms. 43(1). 150–171. 15 indexed citations
11.
Mayaud, Jerome, Richard M. Bailey, & Giles Wiggs. (2017). A coupled vegetation/sediment transport model for dryland environments. Journal of Geophysical Research Earth Surface. 122(4). 875–900. 35 indexed citations
12.
Madsen, Jens Koed, Richard M. Bailey, & Toby D. Pilditch. (2017). Growing a Bayesian Conspiracy Theorist: An Agent-Based Model. Cognitive Science. 2 indexed citations
13.
Thomas, David S.G. & Richard M. Bailey. (2017). Is there evidence for global‐scale forcing of Southern Hemisphere Quaternary desert dune accumulation? A quantitative method for testing hypotheses of dune system development. Earth Surface Processes and Landforms. 42(14). 2280–2294. 24 indexed citations
14.
Mayaud, Jerome, Giles Wiggs, & Richard M. Bailey. (2016). Characterizing turbulent wind flow around dryland vegetation. Earth Surface Processes and Landforms. 41(10). 1421–1436. 77 indexed citations
15.
Mayaud, Jerome, Giles Wiggs, & Richard M. Bailey. (2016). A field‐based parameterization of wind flow recovery in the lee of dryland plants. Earth Surface Processes and Landforms. 42(2). 378–386. 24 indexed citations
16.
Mayaud, Jerome, Giles Wiggs, & Richard M. Bailey. (2016). A new turbulence-based model for sand transport. EGUGA.
17.
Avens, Larisa, LR Goshe, Craig A. Harms, et al.. (2012). Population characteristics, age structure, and growth dynamics of neritic juvenile green turtles in the northeastern Gulf of Mexico. Marine Ecology Progress Series. 458. 213–229. 70 indexed citations
18.
Adamiec, Grzegorz, et al.. (2004). Application of a Genetic Algorithm to finding parameter values for numerical simulation of quartz luminescence. Geochronometria. 23. 9–14. 20 indexed citations
19.
Bailey, Richard M., Stephen Stokes, & Helen E. Bray. (2003). Inductively-Coupled Plasma Mass Spectrometry (ICP-MS) for dose rate determination: some guidelines for sample preparation and analysis. Ancient TL. 21(1). 11–15. 20 indexed citations
20.
Lai, Zhongping, et al.. (2002). Detection of far-red IRSL from loess. Ancient TL. 20(2). 41–46. 5 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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