Joël Stein
Impact in
- Atmospheric Science top 2%
- Meteorological Phenomena and Simulations
- Tropical and Extratropical Cyclones Research
- Atmospheric chemistry and aerosols
- Global and Planetary Change top 2%
- Climate variability and models
- Atmospheric aerosols and clouds
Papers in
-
- Advanced Combinatorial Mathematics 5
- Co-authors
- Gian‐Carlo RotaN. AsencioÉvelyne RichardJean‐Pierre PintyPeter DoubiletValéry MassonPhilippe HéreilPhilippe Bougeault
- Journals
- Quarterly Journal of the Royal Meteorological Society (8 papers)Proceedings of the National Academy of Sciences (8 papers)Monthly Weather Review (5 papers)Annales Geophysicae (2 papers)Weather and Forecasting (1 paper)
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
Joël Stein
38 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Atmospheric Science 965
- Global and Planetary Change 846
- Algebra and Number Theory 174
- Discrete Mathematics and Combinatorics 111
- Computational Mathematics 15
Countries citing papers authored by Joël Stein
This map shows the geographic impact of Joël Stein'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 Joël Stein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joël Stein more than expected).
Fields of papers citing papers by Joël Stein
This network shows the impact of papers produced by Joël Stein. 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 Joël Stein. The network helps show where Joël Stein may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joël Stein, 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 | 2024 | 1 | |
| 2 | 2015 | 11 | |
| 3 | 2008 | 29 | |
| 4 | 2006 | 11 | |
| 5 | 2005 | 2 | |
| 6 | 2004 | 23 | |
| 7 | 2003 | 29 | |
| 8 | 2003 | 14 | |
| 9 | 2001 | 8 | |
| 10 | 2000 | 129 | |
| 11 | 1999 | 39 | |
| 12 | 1998 | 24 | |
| 13 | 1995 | 2 | |
| 14 | 1993 | 1 | |
| 15 | 1992 | 21 | |
| 16 | 1991 | 3 | |
| 17 | 1990 | 8 | |
| 18 | 1987 | 9 | |
| 19 | 1987 | 59 | |
| 20 | 1974 | 200 |
About Joël Stein
Joël Stein is a scholar working on Discrete Mathematics and Combinatorics, Computational Mathematics, Algebra and Number Theory, Atmospheric Science and Geometry and Topology, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (22 papers), Climate variability and models (11 papers), Wind and Air Flow Studies (7 papers), Tropical and Extratropical Cyclones Research (7 papers), Advanced Topics in Algebra (6 papers), Algebraic structures and combinatorial models (6 papers), Atmospheric and Environmental Gas Dynamics (5 papers) and Advanced Combinatorial Mathematics (5 papers). The work is most often cited by research in Atmospheric Science (965 citations), Global and Planetary Change (846 citations), Algebra and Number Theory (174 citations), Discrete Mathematics and Combinatorics (111 citations) and Computational Mathematics (15 citations). Joël Stein has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Gian‐Carlo Rota, N. Asencio, Évelyne Richard, Jean‐Pierre Pinty, Peter Doubilet, Valéry Masson, Philippe Héreil, Philippe Bougeault, P. Mascart and J. Duron. Their work appears in journals such as Quarterly Journal of the Royal Meteorological Society, Proceedings of the National Academy of Sciences, Monthly Weather Review, Annales Geophysicae and Weather and Forecasting.
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.