Mark Weeks

884 citations
16 papers · 677 · h-index 13

Impact in

    • Meteorological Phenomena and Simulations
    • Cryospheric studies and observations
    • Tropical and Extratropical Cyclones Research
    • Climate variability and models
    • Atmospheric aerosols and clouds

Papers in

Mark Weeks

16 papers receiving 667 citations

Peers

Mark Weeks
Comparison fields: 5 of 30
  • Atmospheric Science 475
  • Global and Planetary Change 173
  • Environmental Engineering 85
  • Oceanography 24
  • Computational Mechanics 18
Replace Ernani de Lima Nascimento with:
Ernani de Lima Nascimento Brazil
Samuel T. K. Miller United States
Weiming Sha Japan
Qingqing Li China
Gé Verver Netherlands
Yerong Feng China
Qian Yongfu China
Chia‐Ying Tu Taiwan
Hideji Kida Japan
Woo Geun Cheon South Korea
Mark Weeks relative to Ernani de Lima Nascimento Brazil Ernani de Lima Nascimento's profile →
Citations per field
00.5×2×2.8×
Ernani de Lima Nascimento · 1×
Citations per year

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-authors

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

All Works

16 of 16 papers shown
#Work
1 2020150
2 201484
3 201563
4 201256
5 202356
6 201352
7 201349
8 201045
9 200929
10 202021
11 201617
12 202517
13 202114
14 200413
15 20197
16 20024

About Mark Weeks

Mark Weeks is a scholar working on Atmospheric Science, Environmental Engineering, Global and Planetary Change, Computational Mechanics and Astronomy and Astrophysics, having authored 16 papers that have together received 677 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (12 papers), Fluid Dynamics and Turbulent Flows (2 papers), Wind and Air Flow Studies (2 papers), Geomagnetism and Paleomagnetism Studies (1 paper), Climate variability and models (1 paper), Solar and Space Plasma Dynamics (1 paper), Cryospheric studies and observations (1 paper) and Atmospheric aerosols and clouds (1 paper). The work is most often cited by research in Atmospheric Science (475 citations), Global and Planetary Change (173 citations), Environmental Engineering (85 citations), Oceanography (24 citations) and Computational Mechanics (18 citations). Mark Weeks has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Andrew Orr, Andrew D. Elvidge, John King, Tom Lachlan‐Cope, Adrian P. Lock, Aurore Porson, Ian A. Renfrew, Suzanne L. Gray, Stuart Webster and Jonathan M. Wilkinson. Their work appears in journals such as Geoscientific model development, Quarterly Journal of the Royal Meteorological Society, Bulletin of the American Meteorological Society, Environmental Modeling & Assessment and Boundary-Layer Meteorology.

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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