M. E. Brooks

5.8k total citations
25 papers, 702 citations indexed

About

M. E. Brooks is a scholar working on Atmospheric Science, Global and Planetary Change and Earth-Surface Processes. According to data from OpenAlex, M. E. Brooks has authored 25 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Atmospheric Science, 23 papers in Global and Planetary Change and 5 papers in Earth-Surface Processes. Recurrent topics in M. E. Brooks's work include Atmospheric aerosols and clouds (18 papers), Atmospheric chemistry and aerosols (15 papers) and Meteorological Phenomena and Simulations (11 papers). M. E. Brooks is often cited by papers focused on Atmospheric aerosols and clouds (18 papers), Atmospheric chemistry and aerosols (15 papers) and Meteorological Phenomena and Simulations (11 papers). M. E. Brooks collaborates with scholars based in United Kingdom, United States and India. M. E. Brooks's co-authors include Sean Milton, K. D. Williams, Alejandro Bodas‐Salcedo, Richard P. Allan, Ben Johnson, Gill Martin, Sarah Ineson, C. A. Senior, Thomas Reichler and A. Slingo and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Geophysical Research Letters.

In The Last Decade

M. E. Brooks

25 papers receiving 695 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. E. Brooks United Kingdom 14 668 656 87 42 17 25 702
Maike Ahlgrimm United Kingdom 14 601 0.9× 610 0.9× 38 0.4× 33 0.8× 31 1.8× 19 649
Yi Huang Australia 17 650 1.0× 661 1.0× 71 0.8× 98 2.3× 11 0.6× 62 756
Sixiong Zhao China 16 500 0.7× 495 0.8× 32 0.4× 55 1.3× 30 1.8× 35 576
Isabel L. McCoy United States 13 554 0.8× 534 0.8× 92 1.1× 43 1.0× 13 0.8× 32 608
Martin D. Glew United Kingdom 7 733 1.1× 741 1.1× 124 1.4× 44 1.0× 24 1.4× 7 788
Reuven H. Heiblum Israel 12 510 0.8× 500 0.8× 83 1.0× 9 0.2× 23 1.4× 18 569
David S. Henderson United States 11 504 0.8× 500 0.8× 21 0.2× 25 0.6× 32 1.9× 22 561
Hongchun Jin China 15 600 0.9× 631 1.0× 55 0.6× 12 0.3× 23 1.4× 27 692
J. Barkan Israel 10 386 0.6× 399 0.6× 104 1.2× 18 0.4× 18 1.1× 18 428
Anja Hünerbein Germany 12 412 0.6× 422 0.6× 43 0.5× 17 0.4× 18 1.1× 29 471

Countries citing papers authored by M. E. Brooks

Since Specialization
Citations

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

Fields of papers citing papers by M. E. Brooks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. E. Brooks

This figure shows the co-authorship network connecting the top 25 collaborators of M. E. Brooks. A scholar is included among the top collaborators of M. E. Brooks 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 M. E. Brooks. M. E. Brooks 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.
Rosen, Natalie O., Samantha J. Dawson, Yitzchak M. Binik, et al.. (2022). Trajectories of Dyspareunia From Pregnancy to 24 Months Postpartum. Obstetrical & Gynecological Survey. 77(6). 344–345. 1 indexed citations
2.
O’Sullivan, Debbie, Franco Marenco, Claire L. Ryder, et al.. (2020). Models transport Saharan dust too low in the atmosphere: a comparison of the MetUM and CAMS forecasts with observations. Atmospheric chemistry and physics. 20(21). 12955–12982. 36 indexed citations
3.
O’Sullivan, Debbie, Franco Marenco, Claire L. Ryder, et al.. (2020). Models transport Saharan dust too low in the atmosphere compared to observations. 2 indexed citations
4.
Darmenov, Anton, Peng Xian, Jeffrey S. Reid, et al.. (2020). The International Cooperative for Aerosol Prediction (ICAP) Perspective on the Massive June 2020 Saharan Dust Event. AGU Fall Meeting Abstracts. 2020. 1 indexed citations
5.
Kniffka, Anke, Peter Knippertz, Andreas H. Fink, et al.. (2019). An evaluation of operational and research weather forecasts for southern West Africa using observations from the DACCIWA field campaign in June–July 2016. Quarterly Journal of the Royal Meteorological Society. 146(728). 1121–1148. 18 indexed citations
6.
Martin, Gill, M. E. Brooks, Ben Johnson, et al.. (2019). Forecasting the monsoon on daily to seasonal time‐scales in support of a field campaign. Quarterly Journal of the Royal Meteorological Society. 146(731). 2906–2927. 10 indexed citations
7.
Willetts, Peter, Andrew G. Turner, Gill Martin, et al.. (2017). The 2015 Indian summer monsoon onset – phenomena, forecasting and research flight planning. Weather. 72(6). 168–175. 1 indexed citations
8.
Pope, Richard J., John H. Marsham, Peter Knippertz, M. E. Brooks, & Alexander J. Roberts. (2016). Identifying errors in dust models from data assimilation. Geophysical Research Letters. 43(17). 9270–9279. 26 indexed citations
9.
Field, Paul R., Alejandro Bodas‐Salcedo, & M. E. Brooks. (2011). Using model analysis and satellite data to assess cloud and precipitation in midlatitude cyclones. Quarterly Journal of the Royal Meteorological Society. 137(659). 1501–1515. 36 indexed citations
10.
Haywood, Jim, Ben Johnson, S. Osborne, et al.. (2011). Motivation, rationale and key results from the GERBILS Saharan dust measurement campaign. Quarterly Journal of the Royal Meteorological Society. 137(658). 1106–1116. 39 indexed citations
11.
Haywood, Jim, Ben Johnson, S. Osborne, et al.. (2011). Observations and modelling of the solar and terrestrial radiative effects of Saharan dust: a radiative closure case‐study over oceans during the GERBILS campaign. Quarterly Journal of the Royal Meteorological Society. 137(658). 1211–1226. 27 indexed citations
12.
Mulcahy, Jane P., M. E. Brooks, & Sean Milton. (2010). Aerosol impacts in the Met Office global NWP model. EGUGA. 9138. 1 indexed citations
13.
Martin, Gill, Sean Milton, C. A. Senior, et al.. (2010). Analysis and Reduction of Systematic Errors through a Seamless Approach to Modeling Weather and Climate. Journal of Climate. 23(22). 5933–5957. 142 indexed citations
14.
Allan, Richard P., Margaret J. Woodage, Sean Milton, M. E. Brooks, & Jim Haywood. (2010). Examination of long‐wave radiative bias in general circulation models over North Africa during May–July. Quarterly Journal of the Royal Meteorological Society. 137(658). 1179–1192. 13 indexed citations
15.
Ackerley, Duncan, E. J. Highwood, Mark A. Harrison, et al.. (2009). The development of a new dust uplift scheme in the Met Office Unified Model™. Meteorological Applications. 16(4). 445–460. 5 indexed citations
16.
Williams, K. D. & M. E. Brooks. (2008). Initial Tendencies of Cloud Regimes in the Met Office Unified Model. Journal of Climate. 21(4). 833–840. 35 indexed citations
17.
Milton, Sean, M. E. Brooks, Jim Haywood, et al.. (2008). Modeled and observed atmospheric radiation balance during the West African dry season: Role of mineral dust, biomass burning aerosol, and surface albedo. Journal of Geophysical Research Atmospheres. 113(D23). 67 indexed citations
18.
Allan, Richard P., A. Slingo, Sean Milton, & M. E. Brooks. (2007). Evaluation of the Met Office global forecast model using Geostationary Earth Radiation Budget (GERB) data. Quarterly Journal of the Royal Meteorological Society. 133(629). 1993–2010. 39 indexed citations
19.
Allan, Richard P., A. Slingo, Sean Milton, & M. E. Brooks. (2006). Exploitation of Geostationary Earth Radiation Budget (GERB) data from 2003-2006 in the evaluation of the Met Office global NWP model. 1 indexed citations
20.
Brooks, M. E., Robin J. Hogan, & Anthony J. Illingworth. (2005). Parameterizing the Difference in Cloud Fraction Defined by Area and by Volume as Observed with Radar and Lidar. Journal of the Atmospheric Sciences. 62(7). 2248–2260. 38 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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