Jorge Luís Gomes

1.8k total citations
30 papers, 1.4k citations indexed

About

Jorge Luís Gomes is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Jorge Luís Gomes has authored 30 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Global and Planetary Change, 20 papers in Atmospheric Science and 4 papers in Water Science and Technology. Recurrent topics in Jorge Luís Gomes's work include Climate variability and models (23 papers), Meteorological Phenomena and Simulations (18 papers) and Atmospheric and Environmental Gas Dynamics (10 papers). Jorge Luís Gomes is often cited by papers focused on Climate variability and models (23 papers), Meteorological Phenomena and Simulations (18 papers) and Atmospheric and Environmental Gas Dynamics (10 papers). Jorge Luís Gomes collaborates with scholars based in Brazil, United Kingdom and Argentina. Jorge Luís Gomes's co-authors include Sin Chan Chou, Josiane F. Bustamante, André Lyra, Diego Chagas, Priscila Tavares, Gustavo Sueiro, José A. Marengo, Claudine Pereira Dereczynski, Daniela Carneiro Rodrigues and Isabel L. Pilotto and has published in prestigious journals such as Quarterly Journal of the Royal Meteorological Society, International Journal of Climatology and Climate Dynamics.

In The Last Decade

Jorge Luís Gomes

28 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jorge Luís Gomes Brazil 13 911 459 427 161 117 30 1.4k
Josiane F. Bustamante Brazil 8 775 0.9× 383 0.8× 354 0.8× 135 0.8× 98 0.8× 14 1.1k
Priscila Tavares Brazil 9 751 0.8× 384 0.8× 303 0.7× 163 1.0× 89 0.8× 16 1.2k
Claudine Pereira Dereczynski Brazil 15 777 0.9× 395 0.9× 377 0.9× 215 1.3× 132 1.1× 42 1.2k
André Lyra Brazil 15 1.0k 1.1× 482 1.1× 448 1.0× 201 1.2× 140 1.2× 35 1.6k
Gustavo Sueiro Brazil 6 678 0.7× 360 0.8× 266 0.6× 132 0.8× 85 0.7× 11 1.0k
Marcelo E. Seluchi Brazil 21 1.2k 1.3× 382 0.8× 745 1.7× 238 1.5× 159 1.4× 47 1.7k
Diego Chagas Brazil 6 642 0.7× 337 0.7× 260 0.6× 119 0.7× 68 0.6× 9 960
Bridget Thrasher United States 11 1.2k 1.3× 480 1.0× 701 1.6× 182 1.1× 164 1.4× 20 1.8k
Ali Sarhadi Canada 16 1.3k 1.5× 401 0.9× 461 1.1× 140 0.9× 168 1.4× 23 1.6k
Daniel J. McEvoy United States 17 1.1k 1.2× 328 0.7× 341 0.8× 246 1.5× 108 0.9× 31 1.4k

Countries citing papers authored by Jorge Luís Gomes

Since Specialization
Citations

This map shows the geographic impact of Jorge Luís Gomes'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 Jorge Luís Gomes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jorge Luís Gomes more than expected).

Fields of papers citing papers by Jorge Luís Gomes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge Luís Gomes. 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 Jorge Luís Gomes. The network helps show where Jorge Luís Gomes may publish in the future.

Co-authorship network of co-authors of Jorge Luís Gomes

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Luís Gomes. A scholar is included among the top collaborators of Jorge Luís Gomes 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 Jorge Luís Gomes. Jorge Luís Gomes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tavares, Priscila, et al.. (2025). Dynamical-statistical downscaling of seasonal hindcasts of temperature and precipitation over South America. Revista Brasileira de Recursos Hídricos. 30.
2.
Tavares, Priscila, et al.. (2024). Extreme Seasonal Droughts and Floods in the Madeira River Basin, Brazil: Diagnosis, Causes, and Trends. Climate. 12(8). 111–111. 2 indexed citations
3.
Chou, Sin Chan, et al.. (2024). Inclusion of the radiative effect of deep convective clouds in the Eta model simulations. Quarterly Journal of the Royal Meteorological Society. 150(761). 1809–1830.
4.
Nobre, Paulo, Emanuel Giarolla, Laércio Massaru Namikawa, et al.. (2022). The 2019 northeast Brazil oil spill: scenarios. Anais da Academia Brasileira de Ciências. 94(suppl 2). e20210391–e20210391. 8 indexed citations
5.
Chou, Sin Chan, Claudine Pereira Dereczynski, Jorge Luís Gomes, et al.. (2020). Ten-year seasonal climate reforecasts over South America using the Eta Regional Climate Model. Anais da Academia Brasileira de Ciências. 92(3). e20181242–e20181242. 14 indexed citations
6.
Chou, Sin Chan, André Lyra, Jorge Luís Gomes, et al.. (2020). Downscaling projections of climate change in Sao Tome and Principe Islands, Africa. Climate Dynamics. 54(9-10). 4021–4042. 23 indexed citations
7.
Chou, Sin Chan, André Lyra, Diego Chagas, et al.. (2018). Downscaling projections of climate change over South America and Central America under RCP4.5 and RCP8.5 emission scenarios. EGUGA. 8866. 3 indexed citations
8.
Pavan, Willingthon, et al.. (2018). PROJETA platform: accessing high resolution climate change projections over Central and South America using the Eta model. Americanae (AECID Library). 26(1). 11 indexed citations
9.
Pilotto, Isabel L., Daniel Andrés Rodríguez, Sin Chan Chou, et al.. (2017). Effects of the surface heterogeneities on the local climate of a fragmented landscape in Amazonia using a tile approach in the Eta/Noah‐MP model. Quarterly Journal of the Royal Meteorological Society. 143(704). 1565–1580. 12 indexed citations
10.
Dereczynski, Claudine Pereira, et al.. (2016). Evaluation of Eta Model Rainfall Forecasts at São Francisco River Basin in Minas Gerais, Brazil. Anuário do Instituto de Geociências. 38(2). 15–15. 2 indexed citations
11.
Gomes, Jorge Luís, Fedor Mesinger, Gustavo Sueiro, & Sin Chan Chou. (2015). 1-km Eta model simulations over complex topography: horizontal diffusion and cloud microphysics tests. EGUGA. 6766. 1 indexed citations
12.
Chou, Sin Chan, André Lyra, Caroline Mourão, et al.. (2014). Assessment of Climate Change over South America under RCP 4.5 and 8.5 Downscaling Scenarios. American Journal of Climate Change. 3(5). 512–527. 292 indexed citations
13.
Chou, Sin Chan, et al.. (2013). Tests of high-resolution simulations over a region of complex terrain in Southeast coast of Brazil. EGUGA. 1 indexed citations
14.
Mesinger, Fedor, Sin Chan Chou, Jorge Luís Gomes, et al.. (2012). An upgraded version of the Eta model. Meteorology and Atmospheric Physics. 116(3-4). 63–79. 132 indexed citations
15.
Chou, Sin Chan, José A. Marengo, André Lyra, et al.. (2011). Downscaling of South America present climate driven by 4-member HadCM3 runs. Climate Dynamics. 38(3-4). 635–653. 162 indexed citations
16.
17.
Chou, Sin Chan, José A. Marengo, André Lyra, et al.. (2010). Downscaling of South America present climate driven by 4-member HadCM3 runs. Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research). 13799. 1 indexed citations
18.
Chou, Sin Chan, et al.. (2007). Refinamento estatístico das previsões horárias de temperatura a 2 m do modelo eta em estações do nordeste do Brasil. Revista Brasileira de Meteorologia. 22(3). 287–296. 5 indexed citations
19.
Seluchi, Marcelo E., et al.. (2007). Análisis de una ola de calor extrema en la región subtropical de américa del sur. Revista Brasileira de Meteorologia. 22(3). 373–386. 4 indexed citations
20.
Bustamante, Josiane F., Jorge Luís Gomes, Sin Chan Chou, & José Roberto Rozante. (1999). the Eta model. 1 indexed citations

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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