Léo Siqueira

892 total citations
23 papers, 557 citations indexed

About

Léo Siqueira is a scholar working on Global and Planetary Change, Oceanography and Atmospheric Science. According to data from OpenAlex, Léo Siqueira has authored 23 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Global and Planetary Change, 18 papers in Oceanography and 16 papers in Atmospheric Science. Recurrent topics in Léo Siqueira's work include Climate variability and models (22 papers), Oceanographic and Atmospheric Processes (18 papers) and Meteorological Phenomena and Simulations (14 papers). Léo Siqueira is often cited by papers focused on Climate variability and models (22 papers), Oceanographic and Atmospheric Processes (18 papers) and Meteorological Phenomena and Simulations (14 papers). Léo Siqueira collaborates with scholars based in United States, Brazil and Australia. Léo Siqueira's co-authors include Ben P. Kirtman, Robert A. Tomas, Cristiana Stan, James L. Kinter, Clément Rousset, William D. Collins, Mariana Vertenstein, N. Hearn, Frank O. Bryan and Cecilia M. Bitz and has published in prestigious journals such as Scientific Reports, Journal of Climate and Geophysical Research Letters.

In The Last Decade

Léo Siqueira

23 papers receiving 552 citations

Peers

Léo Siqueira

GPC

OCEAN

WST

Axel Andersson Germany

C. T. Sabeerali India

Wan‐Ling Tseng Taiwan

Solange Fermepin France

Medha Deshpande India

Igor I. Zveryaev Russia

Sebastian Milinski Germany

Yajuan Song China

Blandine L’Hévéder France

Brandon W. Kerns United States

Axel Andersson Germany

Léo Siqueira

440 ×0.9

GPC

405 ×1.1

255 ×0.7

OCEAN

27 ×1.3

WST

34 ×2.4

Citations per year, relative to Léo Siqueira Léo Siqueira (= 1×) peers Axel Andersson

Countries citing papers authored by Léo Siqueira

Since Specialization

Citations

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

Fields of papers citing papers by Léo Siqueira

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Léo Siqueira

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

All Works

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20 of 20 papers shown

Prata, Joana C., et al.. (2025). Validation of the monash dog owner relationship scale (MDORS) for Brazilian Portuguese and factors influencing dog-owner relationships. Applied Animal Behaviour Science. 286. 106621–106621. 1 indexed citations

Laurindo, Lucas C., Léo Siqueira, Justin Small, LuAnne Thompson, & Benjamín Kirtman. (2024). Quantifying the Contribution of Ocean Advection and Surface Flux to the Upper‐Ocean Salinity Variability Resolved by Climate Model Simulations. Geophysical Research Letters. 51(3). 2 indexed citations

Siqueira, Léo, Ben P. Kirtman, Lucas C. Laurindo, John Fasullo, & Aixue Hu. (2024). Quantifying the Role of Ocean Dynamics in SST Variability across GCMs and Observations. Journal of Climate. 37(22). 5721–5737. 1 indexed citations

Arbic, Brian K., Paige Martin, Laurent Brodeau, et al.. (2022). Effects of grid spacing on high-frequency precipitation variance in coupled high-resolution global ocean–atmosphere models. Climate Dynamics. 59(9-10). 2887–2913. 4 indexed citations

Laurindo, Lucas C., Justin Small, LuAnne Thompson, et al.. (2022). Role of Ocean and Atmosphere Variability in Scale‐Dependent Thermodynamic Air‐Sea Interactions. Journal of Geophysical Research Oceans. 127(7). 8 indexed citations

Lorenzo, Emanuele Di, et al.. (2021). Enhanced interactions of Kuroshio Extension with tropical Pacific in a changing climate. Scientific Reports. 11(1). 6247–6247. 19 indexed citations

Zhang, Wei, et al.. (2021). Understanding the signal-to-noise paradox in decadal climate predictability from CMIP5 and an eddying global coupled model. Climate Dynamics. 56(9-10). 2895–2913. 25 indexed citations

Nobre, Paulo, et al.. (2021). The Spectral Diagram as a new tool for model assessment in the frequency domain: Application to a global ocean general circulation model with tides. Computers & Geosciences. 159. 104977–104977. 2 indexed citations

Siqueira, Léo, Ben P. Kirtman, & Lucas C. Laurindo. (2020). Forecasting Remote Atmospheric Responses to Decadal Kuroshio Stability Transitions. Journal of Climate. 34(1). 379–395. 18 indexed citations

10.

Siqueira, Léo, et al.. (2019). Warm Events Induce Loss of Resilience in Organic Carbon Production in the Northeast Pacific Ocean. Global Biogeochemical Cycles. 33(9). 1174–1186. 15 indexed citations

11.

Nobre, Paulo, et al.. (2018). A new tool for model assessment in the frequency domain – SpectralTaylor Diagram : application to a global ocean generalcirculation model with tides. Biogeosciences (European Geosciences Union). 3 indexed citations

12.

Laurindo, Lucas C., Léo Siqueira, Arthur J. Mariano, & Ben P. Kirtman. (2018). Cross-spectral analysis of the SST/10-m wind speed coupling resolved by satellite products and climate model simulations. Climate Dynamics. 52(9-10). 5071–5098. 25 indexed citations

13.

Kirtman, Ben P., Natalie Perlin, & Léo Siqueira. (2017). Ocean eddies and climate predictability. Chaos An Interdisciplinary Journal of Nonlinear Science. 27(12). 126902–126902. 27 indexed citations

14.

Siqueira, Léo & Ben P. Kirtman. (2016). Atlantic near‐term climate variability and the role of a resolved Gulf Stream. Geophysical Research Letters. 43(8). 3964–3972. 62 indexed citations

15.

Giarolla, Emanuel, Léo Siqueira, Marcus Jorge Bottino, et al.. (2015). Equatorial Atlantic Ocean dynamics in a coupled ocean–atmosphere model simulation. Ocean Dynamics. 65(6). 831–843. 10 indexed citations

16.

Siqueira, Léo & Ben P. Kirtman. (2014). Nonlinear dynamics approach to the predictability of the Cane–Zebiak coupled ocean–atmosphere model. Nonlinear processes in geophysics. 21(1). 155–163. 1 indexed citations

17.

Nobre, Paulo, Léo Siqueira, Marta Malagutti, et al.. (2013). Climate Simulation and Change in the Brazilian Climate Model. Journal of Climate. 26(17). 6716–6732. 57 indexed citations

18.

Kirtman, Ben P., Cecilia M. Bitz, Frank O. Bryan, et al.. (2012). Impact of ocean model resolution on CCSM climate simulations. Climate Dynamics. 39(6). 1303–1328. 192 indexed citations

19.

Siqueira, Léo & Ben P. Kirtman. (2012). Predictability of a low-order interactive ensemble. Nonlinear processes in geophysics. 19(2). 273–282. 12 indexed citations

20.

Siqueira, Léo & Paulo Nobre. (2006). Tropical Atlantic sea surface temperature and heat flux simulations in a coupled GCM. Geophysical Research Letters. 33(15). 4 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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