Marcelo B. Pádua

908 total citations
48 papers, 586 citations indexed

About

Marcelo B. Pádua is a scholar working on Geophysics, Artificial Intelligence and Astronomy and Astrophysics. According to data from OpenAlex, Marcelo B. Pádua has authored 48 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Geophysics, 14 papers in Artificial Intelligence and 8 papers in Astronomy and Astrophysics. Recurrent topics in Marcelo B. Pádua's work include Geophysical and Geoelectrical Methods (32 papers), Seismic Waves and Analysis (19 papers) and Geochemistry and Geologic Mapping (13 papers). Marcelo B. Pádua is often cited by papers focused on Geophysical and Geoelectrical Methods (32 papers), Seismic Waves and Analysis (19 papers) and Geochemistry and Geologic Mapping (13 papers). Marcelo B. Pádua collaborates with scholars based in Brazil, United States and Indonesia. Marcelo B. Pádua's co-authors include Ícaro Vitorello, Antônio L. Padilha, Maurício de Souza Bologna, Reinhardt A. Fuck, C. M. Denardini, Risto Pirjola, H. Takahashi, A. Viljanen, João Francisco Galera Monico and S. L. G. Dutra and has published in prestigious journals such as The Astrophysical Journal, Earth and Planetary Science Letters and Geology.

In The Last Decade

Marcelo B. Pádua

42 papers receiving 576 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcelo B. Pádua Brazil 15 492 156 154 62 54 48 586
Essam Ghamry Egypt 13 293 0.6× 221 1.4× 94 0.6× 113 1.8× 28 0.5× 49 428
Alan Wood United Kingdom 11 257 0.5× 286 1.8× 36 0.2× 100 1.6× 48 0.9× 33 457
Antônio L. Padilha Brazil 17 702 1.4× 229 1.5× 188 1.2× 152 2.5× 95 1.8× 81 876
Kusumita Arora India 13 401 0.8× 117 0.8× 40 0.3× 91 1.5× 27 0.5× 62 496
Steven R. Bratt United States 12 576 1.2× 128 0.8× 152 1.0× 9 0.1× 42 0.8× 25 721
Shufan Zhao China 15 555 1.1× 183 1.2× 142 0.9× 45 0.7× 36 0.7× 58 655
M. Drilleau France 17 544 1.1× 449 2.9× 63 0.4× 24 0.4× 56 1.0× 40 796
C. P. Legendre Taiwan 14 813 1.7× 302 1.9× 78 0.5× 84 1.4× 30 0.6× 24 868
Caroline Beghein United States 19 1.2k 2.5× 123 0.8× 65 0.4× 16 0.3× 98 1.8× 36 1.3k
Domenico Di Mauro Italy 9 221 0.4× 193 1.2× 40 0.3× 92 1.5× 37 0.7× 48 338

Countries citing papers authored by Marcelo B. Pádua

Since Specialization
Citations

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

Fields of papers citing papers by Marcelo B. Pádua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcelo B. Pádua. 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 Marcelo B. Pádua. The network helps show where Marcelo B. Pádua may publish in the future.

Co-authorship network of co-authors of Marcelo B. Pádua

This figure shows the co-authorship network connecting the top 25 collaborators of Marcelo B. Pádua. A scholar is included among the top collaborators of Marcelo B. Pádua 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 Marcelo B. Pádua. Marcelo B. Pádua 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.
Rosa, Reinaldo R., et al.. (2024). Characterizing Colored Noise Time Series Patterns with Deep Learning Models. Fluctuation and Noise Letters. 23(5).
2.
Denardini, C. M., P. A. B. Nogueira, P. R. Fagundes, et al.. (2024). On the Role of Physical Processes in Controlling Equatorial Plasma Bubble Morphology. Journal of Geophysical Research Space Physics. 129(9).
3.
Takahashi, H., C. A. O. B. Figueiredo, Diego Barros, et al.. (2023). Ionospheric disturbances over South America related to Tonga volcanic eruption. Earth Planets and Space. 75(1). 8 indexed citations
4.
Alves, L. R., et al.. (2022). Modeling Radiation Belt Electron Dropouts During Moderate Geomagnetic Storms Using Radial Diffusion Coefficients Estimated With Global MHD Simulations. Journal of Geophysical Research Space Physics. 127(9). 3 indexed citations
5.
Padilha, Antônio L., et al.. (2021). Magnetotelluric evidence for a Rhyacian suture zone hidden underneath the Seridó belt, Borborema Province, Northeastern Brazil. Precambrian Research. 365. 106413–106413. 6 indexed citations
6.
7.
Padilha, Antônio L., Ícaro Vitorello, Marcelo B. Pádua, & Reinhardt A. Fuck. (2019). Magnetotelluric images of Paleoproterozoic accretion and Mesoproterozoic to Neoproterozoic reworking processes in the northern São Francisco Craton, central-eastern Brazil. Precambrian Research. 333. 105416–105416. 16 indexed citations
8.
Denardini, C. M., H. Takahashi, A. González-Esparza, et al.. (2018). Daytime Ionospheric TEC Weather Study Over Latin America. Journal of Geophysical Research Space Physics. 123(12). 12 indexed citations
9.
Padilha, Antônio L., Ícaro Vitorello, Marcelo B. Pádua, & Reinhardt A. Fuck. (2017). Cryptic signatures of Neoproterozoic accretionary events in northeast Brazil imaged by magnetotellurics: Implications for the assembly of West Gondwana. Tectonophysics. 699. 164–177. 35 indexed citations
10.
Takahashi, H., C. M. Wrasse, C. M. Denardini, et al.. (2016). Ionospheric TEC Weather Map Over South America. Space Weather. 14(11). 937–949. 67 indexed citations
11.
Padilha, Antônio L., Ícaro Vitorello, Marcelo B. Pádua, & Reinhardt A. Fuck. (2015). Deep magnetotelluric signatures of the early Neoproterozoic Cariris Velhos tectonic event within the Transversal sub-province of the Borborema Province, NE Brazil. Precambrian Research. 275. 70–83. 28 indexed citations
12.
Padilha, Antônio L., et al.. (2013). Magnetotelluric imaging of the southeastern Borborema province, NE Brazil. 908–913. 2 indexed citations
13.
Bologna, Maurício de Souza, Antônio L. Padilha, Ícaro Vitorello, & Marcelo B. Pádua. (2010). Signatures of continental collisions and magmatic activity in central Brazil as indicated by a magnetotelluric profile across distinct tectonic provinces. Precambrian Research. 185(1-2). 55–64. 39 indexed citations
14.
Pádua, Marcelo B., et al.. (2010). Magnetotelluric deep soundings, gravity and geoid in the south São Francisco craton: Geophysical indicators of cratonic lithosphere rejuvenation and crustal underplating. Earth and Planetary Science Letters. 297(3-4). 423–434. 31 indexed citations
15.
16.
Vitorello, Ícaro, Antônio L. Padilha, Marcelo B. Pádua, et al.. (2007). Imageamento da litosfera sob a Província Borborema por transectas geoelétricas – Primeira etapa. 1 indexed citations
17.
Pádua, Marcelo B., Ícaro Vitorello, & Antônio L. Padilha. (2007). 3-D modeling of coast effects in MT soundings at the Borborema Province (NE Brazil). 5 indexed citations
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Pádua, Marcelo B., Maurício de Souza Bologna, Antônio L. Padilha, & Ícaro Vitorello. (1999). Disturbances On Magnetotelluric Data Due To Electrified Railway. 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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