José Marengo
- Global and Planetary Change top 0.5%
- Atmospheric Science top 2%
- Water Science and Technology top 2%
- Ecology top 5%
- Oceanography top 5%
- Co-authors
- Jhan Carlo EspinozaRong FuLincoln Muniz AlvesRicardo M. TrigoHans SeguraJosyane RonchailDavid J. KarolyFrancis W. Zwiers
- Topics
- Climate variability and models (21 papers)Atmospheric aerosols and clouds (10 papers)Meteorological Phenomena and Simulations (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Geophysical Research AtmospheresJournal of Climate
- Partner nations
- BrazilUnited StatesPeru
In The Last Decade
José Marengo
34 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Global and Planetary Change 2.2k
- Atmospheric Science 1.2k
- Water Science and Technology 504
- Ecology 498
- Oceanography 217
Countries citing papers authored by José Marengo
This map shows the geographic impact of José Marengo'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 José Marengo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José Marengo more than expected).
Fields of papers citing papers by José Marengo
This network shows the impact of papers produced by José Marengo. 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 José Marengo. The network helps show where José Marengo may publish in the future.
Co-authorship network of co-authors of José Marengo
This figure shows the co-authorship network connecting the top 25 collaborators of José Marengo. A scholar is included among the top collaborators of José Marengo 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 José Marengo. José Marengo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 3 | |
| 3 | 7 | |
| 4 | 0 | |
| 5 | 27 | |
| 6 | 17 | |
| 7 | 40 | |
| 8 | 12 | |
| 9 | 3 | |
| 10 | 30 | |
| 11 | 56 | |
| 12 | 8 | |
| 13 | 233 | |
| 14 | Prediction of extreme floods in the Central Andes by means of Complex Networks | 3 |
| 15 | Regional climate change projections over South America based on the CLARIS-LPB RCM ensemble | 2 |
| 16 | South America downscaling: using spatial artificial neural network | 1 |
| 17 | 113 | |
| 18 | 17 | |
| 19 | Detection of climate change and attribution of causes | 189 |
| 20 | 225 |
About José Marengo
José Marengo is a scholar working on Global and Planetary Change, Atmospheric Science and Ecological Modeling, having authored 35 papers that have together received 2.8k indexed citations. Recurring topics across this work include Climate variability and models (21 papers), Atmospheric aerosols and clouds (10 papers) and Meteorological Phenomena and Simulations (7 papers). The work is most often cited by research in Global and Planetary Change (2.2k citations), Atmospheric Science (1.2k citations) and Water Science and Technology (504 citations). José Marengo has collaborated with scholars based in Brazil, United States and Peru. Frequent co-authors include Jhan Carlo Espinoza, Rong Fu, Lincoln Muniz Alves, Ricardo M. Trigo, Hans Segura, Josyane Ronchail, David J. Karoly, Francis W. Zwiers, Myles Allen and J. F. B. Mitchell. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Geophysical Research Atmospheres and Journal of Climate.
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.