Mónica Maceira

143 total papers · 1.1k total citations
39 papers, 699 citations indexed

About

Mónica Maceira is a scholar working on Geophysics, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, Mónica Maceira has authored 39 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Geophysics, 13 papers in Artificial Intelligence and 4 papers in Civil and Structural Engineering. Recurrent topics in Mónica Maceira's work include Seismic Waves and Analysis (29 papers), earthquake and tectonic studies (17 papers) and Seismic Imaging and Inversion Techniques (15 papers). Mónica Maceira is often cited by papers focused on Seismic Waves and Analysis (29 papers), earthquake and tectonic studies (17 papers) and Seismic Imaging and Inversion Techniques (15 papers). Mónica Maceira collaborates with scholars based in United States, China and Brazil. Mónica Maceira's co-authors include Charles J. Ammon, Haijiang Zhang, Chengping Chai, E. M. Syracuse, C. H. Thurber, R. B. Herrmann, G. A. Prieto, Gregory C. Beroza, Martin Schoenball and A. A. Velasco and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, SHILAP Revista de lepidopterología and Earth and Planetary Science Letters.

In The Last Decade

Mónica Maceira

38 papers receiving 672 citations

Author Peers

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

Author Last Decade Papers Cites
Mónica Maceira 602 178 76 37 37 39 699
Haiqiang Lan 632 1.0× 64 0.4× 85 1.1× 18 0.5× 48 1.3× 42 726
Yan Yang 524 0.9× 203 1.1× 103 1.4× 28 0.8× 10 0.3× 43 664
Guido Russo 572 1.0× 130 0.7× 64 0.8× 18 0.5× 9 0.2× 31 666
John K. Costain 680 1.1× 105 0.6× 52 0.7× 22 0.6× 23 0.6× 56 792
Maria Giulia Di Giuseppe 517 0.9× 84 0.5× 164 2.2× 21 0.6× 47 1.3× 29 641
Antonio Troiano 569 0.9× 95 0.5× 178 2.3× 22 0.6× 47 1.3× 31 700
Kristoffer T. Walker 839 1.4× 111 0.6× 124 1.6× 51 1.4× 10 0.3× 35 901
Elena Kozlovskaya 800 1.3× 92 0.5× 98 1.3× 34 0.9× 23 0.6× 59 856
Hannes Vasyura‐Bathke 713 1.2× 236 1.3× 37 0.5× 19 0.5× 10 0.3× 31 788
Jean Baptiste Tary 419 0.7× 108 0.6× 131 1.7× 56 1.5× 86 2.3× 31 649

Countries citing papers authored by Mónica Maceira

Since Specialization
Citations

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

Fields of papers citing papers by Mónica Maceira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mónica Maceira

This figure shows the co-authorship network connecting the top 25 collaborators of Mónica Maceira. A scholar is included among the top collaborators of Mónica Maceira 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 Mónica Maceira. Mónica Maceira 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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