André Lyra

2.3k total citations
35 papers, 1.6k citations indexed

About

André Lyra is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, André Lyra has authored 35 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Global and Planetary Change, 16 papers in Atmospheric Science and 6 papers in Water Science and Technology. Recurrent topics in André Lyra's work include Climate variability and models (27 papers), Meteorological Phenomena and Simulations (13 papers) and Atmospheric and Environmental Gas Dynamics (8 papers). André Lyra is often cited by papers focused on Climate variability and models (27 papers), Meteorological Phenomena and Simulations (13 papers) and Atmospheric and Environmental Gas Dynamics (8 papers). André Lyra collaborates with scholars based in Brazil, Argentina and United Kingdom. André Lyra's co-authors include Sin Chan Chou, Priscila Tavares, Jorge Luís Gomes, Josiane F. Bustamante, Gustavo Sueiro, José A. Marengo, Diego Chagas, Claudine Pereira Dereczynski, Adán Silva and Daniela Carneiro Rodrigues and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Renewable Energy.

In The Last Decade

André Lyra

30 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
André Lyra Brazil 15 1.0k 482 448 201 164 35 1.6k
Jorge Luís Gomes Brazil 13 911 0.9× 459 1.0× 427 1.0× 161 0.8× 104 0.6× 30 1.4k
Priscila Tavares Brazil 9 751 0.7× 384 0.8× 303 0.7× 163 0.8× 119 0.7× 16 1.2k
Andréas Marx Germany 15 1.0k 1.0× 559 1.2× 335 0.7× 149 0.7× 175 1.1× 29 1.5k
Bridget Thrasher United States 11 1.2k 1.1× 480 1.0× 701 1.6× 182 0.9× 237 1.4× 20 1.8k
Marina Peña‐Gallardo Spain 19 1.4k 1.4× 420 0.9× 425 0.9× 211 1.0× 281 1.7× 28 1.8k
Jaepil Cho South Korea 19 775 0.8× 519 1.1× 300 0.7× 111 0.6× 286 1.7× 70 1.3k
Josiane F. Bustamante Brazil 8 775 0.8× 383 0.8× 354 0.8× 135 0.7× 89 0.5× 14 1.1k
Regina C. S. Álvala Brazil 17 885 0.9× 367 0.8× 332 0.7× 406 2.0× 119 0.7× 21 1.5k
Freddie Mpelasoka Australia 15 972 1.0× 739 1.5× 296 0.7× 128 0.6× 241 1.5× 20 1.6k
Yannis Markonis Czechia 20 1.5k 1.5× 532 1.1× 806 1.8× 170 0.8× 137 0.8× 63 2.1k

Countries citing papers authored by André Lyra

Since Specialization
Citations

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

Fields of papers citing papers by André Lyra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by André Lyra. 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 André Lyra. The network helps show where André Lyra may publish in the future.

Co-authorship network of co-authors of André Lyra

This figure shows the co-authorship network connecting the top 25 collaborators of André Lyra. A scholar is included among the top collaborators of André Lyra 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 André Lyra. André Lyra 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.
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.
2.
Capistrano, Vinícius, et al.. (2023). Impacts of increasing greenhouse gas concentrations and deforestation on extreme rainfall events in the Amazon basin: A multi‐model ensemble‐based study. International Journal of Climatology. 43(12). 5512–5535. 1 indexed citations
3.
4.
Tavares, Priscila, et al.. (2023). Water balance components and climate extremes over Brazil under 1.5 °C and 2.0 °C of global warming scenarios. Regional Environmental Change. 23(1). 40–40. 14 indexed citations
5.
Lyra, André, et al.. (2022). Mid-Holocene climate simulations over Brazil using the Eta regional paleoclimate model. SHILAP Revista de lepidopterología. 43. e775–e775.
6.
Olmo, Matías, et al.. (2022). Extreme indices of temperature and precipitation in South America: trends and intercomparison of regional climate models. Climate Dynamics. 62(6). 4541–4562. 22 indexed citations
7.
Chou, Sin Chan, et al.. (2022). Climate change projections and impacts on the eucalyptus plantation around the Doce River basin, in Minas Gerais, Brazil. Climate Services. 28. 100327–100327. 11 indexed citations
8.
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
9.
Capistrano, Vinícius, et al.. (2020). Avaliação dos Impactos das Mudanças na Cobertura da Terra e Cenário de Emissões (RCP 8.5) no Balanço de água na Bacia do Rio Madeira. Revista Brasileira de Meteorologia. 35(4). 689–702. 3 indexed citations
10.
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
11.
Imbach, Pablo, Sin Chan Chou, André Lyra, et al.. (2018). Future climate change scenarios in Central America at high spatial resolution. PLoS ONE. 13(4). e0193570–e0193570. 72 indexed citations
12.
Chou, Sin Chan, et al.. (2018). Seasonal climate and the onset of the rainy season in western‐central Brazil simulated by Global Eta Framework model. International Journal of Climatology. 39(3). 1429–1445. 3 indexed citations
13.
Chou, Sin Chan, et al.. (2017). Reciclagem de Precipitação e Desflorestamento na Amazônia: Um Estudo de Modelagem Numérica. Revista Brasileira de Meteorologia. 32(3). 417–432. 8 indexed citations
14.
Chou, Sin Chan, et al.. (2017). AN ANALYSIS OF RAINFALL EXTREMES IN THE NORTHERN SOUTH AMERICA AND THEIR BEHAVIORS FOR FUTURE CLIMATE BASED ON A1B SCENARIO. SHILAP Revista de lepidopterología. 20. 2 indexed citations
15.
Lyra, André, et al.. (2016). Projections of climate change impacts on central America tropical rainforest. Climatic Change. 141(1). 93–105. 60 indexed citations
16.
Chou, Sin Chan, et al.. (2016). Climatologia no Entorno da Central Nuclear de Angra dos Reis, RJ. Revista Brasileira de Meteorologia. 31(3). 298–310. 2 indexed citations
17.
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
18.
Mesinger, Fedor, Sin Chan Chou, Lazar Lazić, et al.. (2011). An upgraded Version of the Eta Model. IRIS UNIMORE (University of Modena and Reggio Emilia). 13.
19.
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
20.
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

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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