Martin Juckes
- Atmospheric Science top 2%
- Atmospheric Ozone and Climate 18
- Meteorological Phenomena and Simulations 14
- Tropical and Extratropical Cyclones Research 8
- Global and Planetary Change top 2%
- Climate variability and models 29
- Atmospheric and Environmental Gas Dynamics 16
- Oceanography top 5%
- Oceanographic and Atmospheric Processes 8
- Astronomy and Astrophysics top 5%
- Ionosphere and magnetosphere dynamics 7
- Computational Mechanics top 10%
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- Scientific Computing and Data Management 10
- Co-authors
- M. E. McIntyreLesley J. GrayCharlotte PascoeBryan LawrenceSimon A. CrooksMark BaldwinDavid G. DritschelTheodore G. Shepherd
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Martin Juckes
52 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 85
- Atmospheric Science 1.1k
- Global and Planetary Change 1.0k
- Oceanography 290
- Astronomy and Astrophysics 272
- Computational Mechanics 84
Countries citing papers authored by Martin Juckes
This map shows the geographic impact of Martin Juckes'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 Martin Juckes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Juckes more than expected).
Fields of papers citing papers by Martin Juckes
This network shows the impact of papers produced by Martin Juckes. 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 Martin Juckes. The network helps show where Martin Juckes may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martin Juckes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 2 | |
| 4 | 2023 | 36 | |
| 5 | 2020 | 29 | |
| 6 | 2020 | 32 | |
| 7 | 2020 | 1 | |
| 8 | 2019 | 2 | |
| 9 | 2019 | 17 | |
| 10 | 2019 | 1 | |
| 11 | 2018 | 69 | |
| 12 | 2017 | 1 | |
| 13 | A Climate Information Platform for Copernicus (CLIPC): managing the data flood | 2016 | 0 |
| 14 | Big Data Challenges Indexing Large-Volume, Heterogeneous EO Datasets for Effective Data Discovery | 2016 | 1 |
| 15 | 2016 | 28 | |
| 16 | Can the ExArch framework facilitate the computation of stormtracks statistics in a petabyte archive | 2012 | 1 |
| 17 | Goal oriented adaptivity for tropical cyclones | 2009 | 1 |
| 18 | 2007 | 9 | |
| 19 | 2006 | 81 | |
| 20 | 2006 | 7 |
About Martin Juckes
Martin Juckes is a scholar working on Atmospheric Science, Global and Planetary Change and Information Systems and Management, having authored 55 papers that have together received 1.5k indexed citations. Recurring topics across this work include Climate variability and models (29 papers), Atmospheric Ozone and Climate (18 papers), Atmospheric and Environmental Gas Dynamics (16 papers), Meteorological Phenomena and Simulations (14 papers), Scientific Computing and Data Management (10 papers), Oceanographic and Atmospheric Processes (8 papers), Tropical and Extratropical Cyclones Research (8 papers) and Ionosphere and magnetosphere dynamics (7 papers). The work is most often cited by research in Atmospheric Science (1.1k citations), Global and Planetary Change (1.0k citations) and Oceanography (290 citations). Martin Juckes has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include M. E. McIntyre, Lesley J. Gray, Charlotte Pascoe, Bryan Lawrence, Simon A. Crooks, Mark Baldwin, David G. Dritschel, Theodore G. Shepherd, Peter Haynes and A. O’Neill.
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.