Leonardo Azevedo

1.6k total citations
96 papers, 1.1k citations indexed

About

Leonardo Azevedo is a scholar working on Ocean Engineering, Geophysics and Environmental Engineering. According to data from OpenAlex, Leonardo Azevedo has authored 96 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Ocean Engineering, 59 papers in Geophysics and 25 papers in Environmental Engineering. Recurrent topics in Leonardo Azevedo's work include Seismic Imaging and Inversion Techniques (54 papers), Reservoir Engineering and Simulation Methods (52 papers) and Soil Geostatistics and Mapping (22 papers). Leonardo Azevedo is often cited by papers focused on Seismic Imaging and Inversion Techniques (54 papers), Reservoir Engineering and Simulation Methods (52 papers) and Soil Geostatistics and Mapping (22 papers). Leonardo Azevedo collaborates with scholars based in Portugal, Brazil and United States. Leonardo Azevedo's co-authors include Amílcar Soares, Darío Graña, A. Soares, Rúben Nunes, Mingliang Liu, Leandro Passos de Figueiredo, Tapan Mukerji, Patrick Connolly, Xianzhi Song and Chengkai Zhang and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Leonardo Azevedo

89 papers receiving 1.1k citations

Peers

Leonardo Azevedo
Anthony E. Akpan Nigeria
Mingliang Liu United States
Alexandre A. Emerick Brazil
Alessandro Comunian Italy
Ne‐Zheng Sun United States
R. M. Neupauer United States
Lin Hu China
Kenzi Karasaki United States
Lichao Nie China
Anthony E. Akpan Nigeria
Leonardo Azevedo
Citations per year, relative to Leonardo Azevedo Leonardo Azevedo (= 1×) peers Anthony E. Akpan

Countries citing papers authored by Leonardo Azevedo

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo Azevedo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonardo Azevedo

This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo Azevedo. A scholar is included among the top collaborators of Leonardo Azevedo 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 Leonardo Azevedo. Leonardo Azevedo 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.
Azevedo, Leonardo, et al.. (2024). Electrical resistivity tomography inversion combining deep variational autoencoder and stochastic adaptive sampling. Geophysics. 90(2). E41–E50. 1 indexed citations
2.
Linde, Niklas, et al.. (2024). Deep generative networks for multivariate fullstack seismic data inversion using inverse autoregressive flows. Computers & Geosciences. 188. 105622–105622. 5 indexed citations
3.
4.
Graña, Darío, et al.. (2023). Iterative geostatistical seismic inversion with rock-physics constraints for permeability prediction. Geophysics. 88(2). M105–M117. 7 indexed citations
5.
Ribeiro, Manuel, et al.. (2023). Spatiotemporal evolution of COVID-19 in Portugal’s Mainland with self-organizing maps. International Journal of Health Geographics. 22(1). 4–4. 4 indexed citations
6.
Gómez‐Hernández, J. Jaime, et al.. (2023). Iterative geostatistical electrical resistivity tomography inversion. Hydrogeology Journal. 31(6). 1627–1645. 4 indexed citations
7.
Todaro, Valeria, et al.. (2023). Missing Rainfall Daily Data: A Comparison Among Gap-Filling Approaches. Mathematical Geosciences. 56(2). 191–217. 21 indexed citations
8.
Azevedo, Leonardo, et al.. (2022). Deep physics-aware stochastic seismic inversion. Geophysics. 88(1). R11–R24. 13 indexed citations
9.
Soares, A., et al.. (2022). Modeling the Geospatial Evolution of COVID-19 using Spatio-temporal Convolutional Sequence-to-sequence Neural Networks. ACM Transactions on Spatial Algorithms and Systems. 8(4). 1–19. 8 indexed citations
10.
Graña, Darío, et al.. (2022). Probabilistic inversion of seismic data for reservoir petrophysical characterization: Review and examples. Geophysics. 87(5). M199–M216. 68 indexed citations
11.
12.
13.
Costa, João Felipe Coimbra Leite, et al.. (2021). Geostatistical Seismic Rock Physics AVA Inversion With Data-Driven Elastic Properties Update. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–15. 10 indexed citations
14.
Azevedo, Leonardo, Maria João Veloso da Costa Ramos Pereira, Manuel Ribeiro, & Amílcar Soares. (2020). Geostatistical COVID-19 infection risk maps for Portugal. International Journal of Health Geographics. 19(1). 25–25. 27 indexed citations
15.
Azevedo, Leonardo, et al.. (2020). Direct Geostatistical Seismic Amplitude Versus Angle Inversion for Shale Rock Properties. IEEE Transactions on Geoscience and Remote Sensing. 59(6). 5335–5344. 15 indexed citations
16.
Azevedo, Leonardo, et al.. (2020). Stochastic perturbation optimization for discrete-continuous inverse problems. Geophysics. 85(5). M73–M83. 16 indexed citations
17.
Azevedo, Leonardo, et al.. (2019). A Geostatistical Simulation of a Mineral Deposit using Uncertain Experimental Data. Minerals. 9(4). 247–247. 5 indexed citations
18.
Azevedo, Leonardo, Xinghui Huang, L.M. Pinheiro, et al.. (2018). Geostatistical Inversion of Seismic Oceanography Data for Ocean Salinity and Temperature Models. Mathematical Geosciences. 50(4). 477–489. 10 indexed citations
19.
Nunes, Rúben, et al.. (2017). Geostatistical seismic inversion for frontier exploration. Interpretation. 5(4). T477–T485. 2 indexed citations
20.
Nunes, Rúben, et al.. (2016). Geostatistical Seismic Inversion with Direct Sequential Simulation and Co-simulation with Multi-local Distribution Functions. Mathematical Geosciences. 49(5). 583–601. 24 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Anthony E. Akpan Breakdown of academic impact, for papers by Mingliang Liu Breakdown of academic impact, for papers by Alexandre A. Emerick Breakdown of academic impact, for papers by Alessandro Comunian Breakdown of academic impact, for papers by Ne‐Zheng Sun Breakdown of academic impact, for papers by R. M. Neupauer Breakdown of academic impact, for papers by Lin Hu Breakdown of academic impact, for papers by Kenzi Karasaki Breakdown of academic impact, for papers by Lichao Nie
Rankless by CCL
2026