Marcelo B. Pádua

90 total papers · 899 total citations
48 papers, 583 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 583 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, China and Indonesia. Marcelo B. Pádua's co-authors include Antônio L. Padilha, Ícaro Vitorello, Maurício de Souza Bologna, Reinhardt A. Fuck, C. M. Denardini, A. Viljanen, S. L. G. Dutra, C. M. Wrasse, H. Takahashi and Yuichi Otsuka 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 574 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Marcelo B. Pádua	490	155	151	63	54	48	583
Viktor Wesztergom	421 0.9×	153 1.0×	45 0.3×	127 2.0×	58 1.1×	60	603
Xuhui Shen	389 0.8×	190 1.2×	124 0.8×	67 1.1×	17 0.3×	42	523
Shufan Zhao	548 1.1×	182 1.2×	139 0.9×	45 0.7×	36 0.7×	58	648
L. L. van'yan	558 1.1×	118 0.8×	45 0.3×	165 2.6×	131 2.4×	66	641
Vittorio Sgrigna	514 1.0×	68 0.4×	179 1.2×	18 0.3×	35 0.6×	70	568
S. V. S. Sarma	526 1.1×	70 0.5×	45 0.3×	52 0.8×	118 2.2×	31	585
H -L Lam	193 0.4×	280 1.8×	28 0.2×	194 3.1×	50 0.9×	36	577
S. M. Agayan	440 0.9×	67 0.4×	270 1.8×	149 2.4×	47 0.9×	51	662
Horng-Yuan Yen	538 1.1×	40 0.3×	149 1.0×	32 0.5×	45 0.8×	40	599
А. А. Спивак	351 0.7×	67 0.4×	72 0.5×	59 0.9×	63 1.2×	112	507

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

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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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