Mark Weeks

909 total citations
15 papers, 474 citations indexed

About

Mark Weeks is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Mark Weeks has authored 15 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Atmospheric Science, 9 papers in Global and Planetary Change and 4 papers in Environmental Engineering. Recurrent topics in Mark Weeks's work include Climate variability and models (8 papers), Meteorological Phenomena and Simulations (8 papers) and Cryospheric studies and observations (4 papers). Mark Weeks is often cited by papers focused on Climate variability and models (8 papers), Meteorological Phenomena and Simulations (8 papers) and Cryospheric studies and observations (4 papers). Mark Weeks collaborates with scholars based in United Kingdom, United States and Portugal. Mark Weeks's co-authors include Andrew Orr, Andrew D. Elvidge, John King, Tom Lachlan‐Cope, Ian A. Renfrew, Suzanne L. Gray, Stuart Webster, Aurore Porson, Adrian Lock and Jorge Bornemann and has published in prestigious journals such as Bulletin of the American Meteorological Society, Quarterly Journal of the Royal Meteorological Society and Physics of Fluids.

In The Last Decade

Mark Weeks

15 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Weeks United Kingdom 12 380 283 106 59 30 15 474
Sam Vanden Broucke Belgium 7 205 0.5× 199 0.7× 129 1.2× 16 0.3× 19 0.6× 9 372
Alexandra Weiss United Kingdom 11 302 0.8× 235 0.8× 66 0.6× 11 0.2× 13 0.4× 20 396
Claudio Durán-Alarcón France 12 274 0.7× 176 0.6× 101 1.0× 14 0.2× 27 0.9× 18 351
A. C. Dilley Australia 10 378 1.0× 401 1.4× 52 0.5× 11 0.2× 24 0.8× 15 501
Gilberto J. Fochesatto United States 11 264 0.7× 240 0.8× 83 0.8× 3 0.1× 9 0.3× 26 340
Katsuyuki Kuchiki Japan 14 569 1.5× 298 1.1× 42 0.4× 56 0.9× 14 0.5× 18 601
Walter H. Hoecker United States 11 318 0.8× 216 0.8× 187 1.8× 3 0.1× 23 0.8× 25 445
R. Vandewal Netherlands 3 286 0.8× 124 0.4× 26 0.2× 56 0.9× 8 0.3× 3 322
A. Malin Johansson Norway 13 405 1.1× 44 0.2× 24 0.2× 60 1.0× 36 1.2× 39 534
C. R. Dickson United States 10 202 0.5× 144 0.5× 156 1.5× 2 0.0× 22 0.7× 20 325

Countries citing papers authored by Mark Weeks

Since Specialization
Citations

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

Fields of papers citing papers by Mark Weeks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Weeks

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Weeks. A scholar is included among the top collaborators of Mark Weeks 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 Mark Weeks. Mark Weeks is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Bush, Mike, Ian Boutle, John Edwards, et al.. (2023). The second Met Office Unified Model–JULES Regional Atmosphere and Land configuration, RAL2. Geoscientific model development. 16(6). 1713–1734. 34 indexed citations
2.
Orr, Andrew, Amélie Kirchgaessner, John King, et al.. (2021). Comparison of kilometre and sub‐kilometre scale simulations of a foehn wind event over the Larsen C Ice Shelf, Antarctic Peninsula using the Met Office Unified Model (MetUM). Quarterly Journal of the Royal Meteorological Society. 147(739). 3472–3492. 13 indexed citations
3.
Petch, J. C., Chris J. Short, Martin Best, et al.. (2020). Sensitivity of the 2018 UK summer heatwave to local sea temperatures and soil moisture. Atmospheric Science Letters. 21(3). 20 indexed citations
4.
Brooke, Jennifer, Chawn Harlow, Russell L. Scott, et al.. (2019). Evaluating the Met Office Unified Model land surface temperature in Global Atmosphere/Land 3.1 (GA/L3.1), Global Atmosphere/Land 6.1 (GA/L6.1) and limited area 2.2 km configurations. Geoscientific model development. 12(4). 1703–1724. 6 indexed citations
5.
Brooke, Jennifer, Chawn Harlow, Russell L. Scott, et al.. (2018). Evaluating the Met Office Unified Model Global Atmosphere/Land 3.1 (GA/L3.1) and Global Atmosphere/Land 6.1 (GA/L6.1) land surface temperature. Outcomes of the SALSTICE campaign. Biogeosciences (European Geosciences Union). 1 indexed citations
6.
Clark, Adam J., Steven J. Weiss, Mark Weeks, et al.. (2016). Collaborative Efforts between the United States and United Kingdom to Advance Prediction of High-Impact Weather. Bulletin of the American Meteorological Society. 98(5). 937–948. 14 indexed citations
7.
King, John, Alan Gadian, Amélie Kirchgaessner, et al.. (2015). Validation of the summertime surface energy budget of Larsen C Ice Shelf (Antarctica) as represented in three high‐resolution atmospheric models. Journal of Geophysical Research Atmospheres. 120(4). 1335–1347. 64 indexed citations
8.
Elvidge, Andrew D., Ian A. Renfrew, John King, et al.. (2014). Foehn jets over the Larsen C Ice Shelf, Antarctica. Quarterly Journal of the Royal Meteorological Society. 141(688). 698–713. 86 indexed citations
9.
Orr, Andrew, Tony Phillips, Stuart Webster, et al.. (2013). Met Office Unified Model high‐resolution simulations of a strong wind event in Antarctica. Quarterly Journal of the Royal Meteorological Society. 140(684). 2287–2297. 52 indexed citations
10.
Golding, Brian, Sue Ballard, Ken Mylne, et al.. (2013). Forecasting Capabilities for the London 2012 Olympics. Bulletin of the American Meteorological Society. 95(6). 883–896. 43 indexed citations
11.
Wilkinson, Jonathan M., Aurore Porson, Jorge Bornemann, et al.. (2012). Improved microphysical parametrization of drizzle and fog for operational forecasting using the Met Office Unified Model. Quarterly Journal of the Royal Meteorological Society. 139(671). 488–500. 51 indexed citations
12.
Vardoulakis, Sotiris, Reneta Dimitrova, D. W. Hamlyn, et al.. (2010). Numerical Model Inter-comparison for Wind Flow and Turbulence Around Single-Block Buildings. Environmental Modeling & Assessment. 16(2). 169–181. 45 indexed citations
13.
Dimitrova, Reneta, J.-F. Sini, M. Schatzmann, et al.. (2009). Influence of Thermal Effects on the Wind Field Within the Urban Environment. Boundary-Layer Meteorology. 131(2). 223–243. 29 indexed citations
14.
Zhang, Keke, Mark Weeks, & Paul Roberts. (2004). Effect of electrically conducting walls on rotating magnetoconvection. Physics of Fluids. 16(6). 2023–2032. 12 indexed citations
15.
Weeks, Mark & Keke Zhang. (2002). Thermal Generation of Alfvén Waves in Oscillatory Magnetoconvection: Diffusively Modified Modes. Geophysical & Astrophysical Fluid Dynamics. 96(5). 405–424. 4 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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