Juan José Escobar
- Atmospheric Science top 5%
- Meteorological Phenomena and Simulations 8
- Atmospheric Ozone and Climate 6
- Atmospheric chemistry and aerosols 5
- Global and Planetary Change top 5%
- Climate variability and models 6
- Atmospheric aerosols and clouds 5
- Environmental Engineering top 10%
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- Evolutionary Algorithms and Applications 7
- Metaheuristic Optimization Algorithms Research 4
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- Advanced Memory and Neural Computing 5
- Co-authors
- John Q. GanValéry MassonJulio OrtegaJean‐Pierre ChaboureauThierry BergotPatrick MascartMiguel DamasJesús González
- Journals
- Atmospheric chemistry and physics (2 papers)Quarterly Journal of the Royal Meteorological Society (2 papers)Journal of Quantitative Spectroscopy and Radiative Transfer (1 paper)
- Partner nations
- SpainFranceUnited Kingdom
In The Last Decade
Juan José Escobar
35 papers receiving 521 citations
Peers
Comparison fields: 5 of 90
- Atmospheric Science 298
- Global and Planetary Change 272
- Environmental Engineering 79
- Cognitive Neuroscience 58
- Astronomy and Astrophysics 48
Countries citing papers authored by Juan José Escobar
This map shows the geographic impact of Juan José Escobar'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 Juan José Escobar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan José Escobar more than expected).
Fields of papers citing papers by Juan José Escobar
This network shows the impact of papers produced by Juan José Escobar. 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 Juan José Escobar. The network helps show where Juan José Escobar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Juan José Escobar, 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 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 5 | |
| 5 | 2022 | 13 | |
| 6 | 2021 | 9 | |
| 7 | 2020 | 45 | |
| 8 | 2020 | 3 | |
| 9 | 2018 | 11 | |
| 10 | 2018 | 1 | |
| 11 | 2018 | 1 | |
| 12 | 2017 | 5 | |
| 13 | 2014 | 11 | |
| 14 | 2013 | 4 | |
| 15 | 2012 | 40 | |
| 16 | 2010 | 13 | |
| 17 | 2009 | 4 | |
| 18 | 2007 | 38 | |
| 19 | 2006 | 23 | |
| 20 | Atresia esofágica, análisis y seguimiento | 1998 | 2 |
About Juan José Escobar
Juan José Escobar is a scholar working on Atmospheric Science, Global and Planetary Change, Artificial Intelligence, Cognitive Neuroscience and Applied Psychology, having authored 36 papers that have together received 543 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (8 papers), Evolutionary Algorithms and Applications (7 papers), Atmospheric Ozone and Climate (6 papers), Climate variability and models (6 papers), Atmospheric chemistry and aerosols (5 papers), Advanced Memory and Neural Computing (5 papers), Atmospheric aerosols and clouds (5 papers) and Metaheuristic Optimization Algorithms Research (4 papers). The work is most often cited by research in Atmospheric Science (298 citations), Global and Planetary Change (272 citations), Environmental Engineering (79 citations), Cognitive Neuroscience (58 citations) and Astronomy and Astrophysics (48 citations). Juan José Escobar has collaborated with scholars based in Spain, France and United Kingdom. Frequent co-authors include John Q. Gan, Valéry Masson, Julio Ortega, Jean‐Pierre Chaboureau, Thierry Bergot, Patrick Mascart, Miguel Damas, Jesús González, Thibaut Dauhut and François Gheusi. Their work appears in journals such as Atmospheric chemistry and physics, Quarterly Journal of the Royal Meteorological Society, Journal of Quantitative Spectroscopy and Radiative Transfer, Electronics and Atmospheric Science Letters.
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.