D. A. Ridley

4.6k total citations
38 papers, 2.6k citations indexed

About

D. A. Ridley is a scholar working on Atmospheric Science, Global and Planetary Change and Earth-Surface Processes. According to data from OpenAlex, D. A. Ridley has authored 38 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Atmospheric Science, 31 papers in Global and Planetary Change and 8 papers in Earth-Surface Processes. Recurrent topics in D. A. Ridley's work include Atmospheric chemistry and aerosols (32 papers), Atmospheric aerosols and clouds (23 papers) and Atmospheric Ozone and Climate (15 papers). D. A. Ridley is often cited by papers focused on Atmospheric chemistry and aerosols (32 papers), Atmospheric aerosols and clouds (23 papers) and Atmospheric Ozone and Climate (15 papers). D. A. Ridley collaborates with scholars based in United States, United Kingdom and Canada. D. A. Ridley's co-authors include Colette L. Heald, K. S. Carslaw, Dominick V. Spracklen, Bonne Ford, Hugh Coe, Carly Reddington, G. W. Mann, S. J. Pickering, D. V. Spracklen and P. T. Manktelow and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Geophysical Research Atmospheres and Environmental Science & Technology.

In The Last Decade

D. A. Ridley

38 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. A. Ridley United States 25 2.3k 1.9k 788 219 170 38 2.6k
Keiya Yumimoto Japan 28 2.2k 1.0× 1.9k 1.0× 704 0.9× 358 1.6× 266 1.6× 81 2.6k
David Fillmore United States 9 1.8k 0.8× 1.4k 0.7× 626 0.8× 118 0.5× 191 1.1× 15 2.0k
Soon‐Chang Yoon South Korea 28 2.9k 1.3× 2.6k 1.3× 669 0.8× 559 2.6× 221 1.3× 62 3.2k
Cynthia A. Randles United States 20 2.4k 1.0× 2.5k 1.3× 607 0.8× 141 0.6× 325 1.9× 38 2.9k
Huisheng Bian United States 34 3.6k 1.6× 3.3k 1.7× 752 1.0× 615 2.8× 198 1.2× 75 4.1k
Anton Darmenov United States 20 2.3k 1.0× 2.3k 1.2× 551 0.7× 185 0.8× 273 1.6× 42 2.7k
Markus Fiebig Germany 28 3.0k 1.3× 2.4k 1.3× 1.3k 1.7× 175 0.8× 311 1.8× 79 3.5k
Martin Suttie United Kingdom 9 2.2k 1.0× 2.3k 1.2× 496 0.6× 88 0.4× 268 1.6× 15 2.7k
T. W. Andreae Germany 23 2.0k 0.9× 1.4k 0.7× 756 1.0× 70 0.3× 203 1.2× 30 2.2k
S. L. Gong China 16 2.5k 1.1× 2.1k 1.1× 562 0.7× 594 2.7× 92 0.5× 19 2.8k

Countries citing papers authored by D. A. Ridley

Since Specialization
Citations

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

Fields of papers citing papers by D. A. Ridley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. A. Ridley. 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 D. A. Ridley. The network helps show where D. A. Ridley may publish in the future.

Co-authorship network of co-authors of D. A. Ridley

This figure shows the co-authorship network connecting the top 25 collaborators of D. A. Ridley. A scholar is included among the top collaborators of D. A. Ridley 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 D. A. Ridley. D. A. Ridley 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
1.
Schroeder, J., et al.. (2022). Changing ozone sensitivity in the South Coast Air Basin during the COVID-19 period. Atmospheric chemistry and physics. 22(19). 12985–13000. 15 indexed citations
2.
Meng, Jun, Randall V. Martin, Paul Ginoux, et al.. (2021). Grid-independent high-resolution dust emissions (v1.0) for chemical transport models: application to GEOS-Chem (12.5.0). Geoscientific model development. 14(7). 4249–4260. 30 indexed citations
3.
Weng, Hongjian, Jintai Lin, Randall V. Martin, et al.. (2020). Global high-resolution emissions of soil NOx, sea salt aerosols, and biogenic volatile organic compounds. Scientific Data. 7(1). 148–148. 85 indexed citations
4.
5.
Adebiyi, Adeyemi A., Jasper F. Kok, Yang Wang, et al.. (2020). Dust Constraints from joint Observational-Modelling-experiMental analysis (DustCOMM): comparison with measurements and model simulations. Atmospheric chemistry and physics. 20(2). 829–863. 29 indexed citations
6.
Mahowald, N. M., Samuel Albani, R. Losno, et al.. (2017). Sensitivity of the interannual variability of mineral aerosol simulations to meteorological forcing dataset. Atmospheric chemistry and physics. 17(5). 3253–3278. 16 indexed citations
7.
Kodros, John K., et al.. (2016). The aerosol radiative effects of uncontrolled combustion of domestic waste. Atmospheric chemistry and physics. 16(11). 6771–6784. 23 indexed citations
8.
Williams, Ross H., David McGee, Christopher W. Kinsley, et al.. (2016). Glacial to Holocene changes in trans-Atlantic Saharan dust transport and dust-climate feedbacks. Science Advances. 2(11). e1600445–e1600445. 43 indexed citations
9.
Mahowald, N. M., Samuel Albani, R. Losno, et al.. (2016). Sensitivity of the Variability of Mineral Aerosol Simulations to Meteorological Forcing Datasets. 1 indexed citations
10.
Reddington, Carly, Dominick V. Spracklen, Paulo Artaxo, et al.. (2016). Analysis of particulate emissions from tropical biomass burning using aglobal aerosol model and long-term surface observations. Atmospheric chemistry and physics. 16(17). 11083–11106. 91 indexed citations
11.
Hammer, Melanie S., Randall V. Martin, Aaron van Donkelaar, et al.. (2016). Interpreting the ultraviolet aerosol index observed with the OMI satellite instrument to understand absorption by organic aerosols: implications for atmospheric oxidation and direct radiative effects. Atmospheric chemistry and physics. 16(4). 2507–2523. 108 indexed citations
12.
Alvarado, M. J., C. R. Lonsdale, Helen L. Macintyre, et al.. (2016). Evaluating model parameterizations of submicron aerosol scattering and absorption with in situ data from ARCTAS 2008. Atmospheric chemistry and physics. 16(14). 9435–9455. 16 indexed citations
13.
Ridley, D. A., Colette L. Heald, Jasper F. Kok, & Chun Zhao. (2016). An observationally constrained estimate of global dust aerosol optical depth. Atmospheric chemistry and physics. 16(23). 15097–15117. 120 indexed citations
14.
Chow, Reynold, Amos P. K. Tai, D. A. Ridley, & Jasper F. Kok. (2015). Are climate and land cover changes in East Asia important factors for dust emission variability in the past 30 years. 2015 AGU Fall Meeting. 2015. 1 indexed citations
15.
Arnold, S. R., L. K. Emmons, S. A. Monks, et al.. (2015). Biomass burning influence on high-latitude tropospheric ozone and reactive nitrogen in summer 2008: a multi-model analysis based on POLMIP simulations. Atmospheric chemistry and physics. 15(11). 6047–6068. 32 indexed citations
16.
Heald, Colette L., D. A. Ridley, Jesse H. Kroll, et al.. (2014). Contrasting the direct radiative effect and direct radiative forcing of aerosols. Atmospheric chemistry and physics. 14(11). 5513–5527. 167 indexed citations
17.
Wang, Xuan, Colette L. Heald, D. A. Ridley, et al.. (2014). Exploiting simultaneous observational constraints on mass and absorption to estimate the global direct radiative forcing of black carbon and brown carbon. Atmospheric chemistry and physics. 14(20). 10989–11010. 227 indexed citations
18.
Heald, Colette L., D. A. Ridley, Jesse H. Kroll, et al.. (2013). Beyond direct radiative forcing: the case for characterizing the direct radiative effect of aerosols. 3 indexed citations
19.
Mann, G. W., K. S. Carslaw, D. A. Ridley, et al.. (2012). Intercomparison of modal and sectional aerosol microphysics representations within the same 3-D global chemical transport model. Atmospheric chemistry and physics. 12(10). 4449–4476. 80 indexed citations
20.
Mann, G. W., K. S. Carslaw, D. V. Spracklen, et al.. (2010). Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model. Geoscientific model development. 3(2). 519–551. 316 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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