Mónica Maceira

1.1k total citations
39 papers, 700 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 700 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 Switzerland. Mónica Maceira's co-authors include Charles J. Ammon, Haijiang Zhang, Chengping Chai, E. M. Syracuse, C. H. Thurber, R. B. Herrmann, Gregory C. Beroza, G. A. Prieto, Martin Schoenball and A. A. Velasco and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Earth and Planetary Science Letters.

In The Last Decade

Mónica Maceira

38 papers receiving 671 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mónica Maceira United States 13 603 179 76 37 37 39 700
Umberto Tammaro Italy 13 395 0.7× 67 0.4× 41 0.5× 100 2.7× 19 0.5× 32 621
Jianen Jing China 15 686 1.1× 90 0.5× 85 1.1× 42 1.1× 18 0.5× 46 751
Mohamed Gobashy Egypt 16 462 0.8× 191 1.1× 266 3.5× 49 1.3× 42 1.1× 45 541
Sherif M. Hanafy Saudi Arabia 16 711 1.2× 210 1.2× 398 5.2× 28 0.8× 37 1.0× 112 824
K. A. Berteussen United States 14 588 1.0× 74 0.4× 143 1.9× 27 0.7× 54 1.5× 49 690
Pejman Shamsipour Canada 10 273 0.5× 115 0.6× 158 2.1× 50 1.4× 39 1.1× 26 343
S. Husen Switzerland 14 1.1k 1.9× 259 1.4× 48 0.6× 10 0.3× 16 0.4× 24 1.2k
Guoyan Jiang China 17 629 1.0× 77 0.4× 32 0.4× 8 0.2× 47 1.3× 37 763
Keisuke Ushijima Japan 12 526 0.9× 77 0.4× 393 5.2× 69 1.9× 53 1.4× 53 604
Mansour A. Al‐Garni Saudi Arabia 11 310 0.5× 81 0.5× 219 2.9× 42 1.1× 19 0.5× 36 353

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

20 of 20 papers shown
1.
2.
Chai, Chengping, Omar Marcillo, Mónica Maceira, et al.. (2025). Exploring Continuous Seismic Data at an Industry Facility Using Unsupervised Machine Learning. SHILAP Revista de lepidopterología. 5(1). 64–72. 1 indexed citations
3.
Zhang, Haijiang, et al.. (2023). High-resolution lithospheric structure of continental China from joint inversion of surface wave and gravity data. Tectonophysics. 868. 230079–230079. 6 indexed citations
4.
Coblentz, David, Jolante van Wijk, Joshua Carmichael, et al.. (2023). New approaches to an old problem: addressing spatial gaps in the World Stress Map. Geological Society London Special Publications. 546(1). 47–68. 1 indexed citations
5.
Chai, Chengping, et al.. (2022). Automatic Waveform Quality Control for Surface Waves Using Machine Learning. Seismological Research Letters. 93(3). 1683–1694. 3 indexed citations
6.
Chai, Chengping, Charles J. Ammon, Mónica Maceira, & R. B. Herrmann. (2022). Crust and Upper Mantle Structure Beneath the Eastern United States. Geochemistry Geophysics Geosystems. 23(3). 11 indexed citations
7.
Chai, Chengping, et al.. (2022). Monitoring Operational States of a Nuclear Reactor Using Seismoacoustic Signatures and Machine Learning. Seismological Research Letters. 93(3). 1660–1672. 8 indexed citations
8.
Han, Shoucheng, Haijiang Zhang, Lei Gao, et al.. (2022). Joint Inversion of Body Wave Arrival Times, Surface Wave Dispersion Data and Receiver Functions: Method and Application to South China. Journal of Geophysical Research Solid Earth. 127(9). 12 indexed citations
9.
Chai, Chengping, A. A. Delorey, Mónica Maceira, et al.. (2021). A 3D Full Stress Tensor Model for Oklahoma. Journal of Geophysical Research Solid Earth. 126(4). 9 indexed citations
10.
Schoenball, Martin, Jonathan Ajo‐Franklin, Chengping Chai, et al.. (2020). Creation of a Mixed‐Mode Fracture Network at Mesoscale Through Hydraulic Fracturing and Shear Stimulation. Journal of Geophysical Research Solid Earth. 125(12). 47 indexed citations
11.
Chai, Chengping, Mónica Maceira, Hector Santos-Villalobos, et al.. (2020). Using a Deep Neural Network and Transfer Learning to Bridge Scales for Seismic Phase Picking. Geophysical Research Letters. 47(16). 100 indexed citations
12.
Chai, Chengping, Charles J. Ammon, Mónica Maceira, & R. B. Herrmann. (2018). Interactive Visualization of Complex Seismic Data and Models Using Bokeh. Seismological Research Letters. 89(2A). 668–676. 8 indexed citations
13.
Lin, Youzuo, E. M. Syracuse, Mónica Maceira, Haijiang Zhang, & Carène Larmat. (2015). Double-difference traveltime tomography with edge-preserving regularization and a priori interfaces. Geophysical Journal International. 201(2). 574–594. 15 indexed citations
14.
Maceira, Mónica, Carène Larmat, Robert Porritt, et al.. (2015). On the validation of seismic imaging methods: Finite frequency or ray theory?. Geophysical Research Letters. 42(2). 323–330. 13 indexed citations
15.
Maceira, Mónica, et al.. (2011). Joint Imaging of the Crust Beneath the Southeastern Margin of the Tibetan Plateau Using Body Wave Travel Times and Surface Wave Dispersion Curves. AGUFM. 2011. 1 indexed citations
16.
Maceira, Mónica, Carène Larmat, C. A. Rowe, R. M. Allen, & Mathias Obrebski. (2011). Validating Seismic Imaging Methods and 3D Seismic Velocity Models. AGUFM. 2011. 2 indexed citations
17.
Maceira, Mónica, et al.. (2010). Advanced Multivariate Inversion Techniques for High Resolution 3D Geophysical Modeling. AGUFM. 2009. 1 indexed citations
18.
Maceira, Mónica, Carène Larmat, Robert Porritt, David Higdon, & R. M. Allen. (2010). Validation of 3D Seismic Velocity Models Using the Spectral Element Method. AGU Fall Meeting Abstracts. 2010. 2 indexed citations
19.
Maceira, Mónica, et al.. (2006). Short Term Security Constrained Hydrothermal Scheduling Considering Transmission Losses. 1–6. 17 indexed citations
20.
Maceira, Mónica, Charles J. Ammon, & R. B. Herrmann. (2000). Faulting Parameters of the September 25, 1998 Pymatuning, Pennsylvania Earthquake. Seismological Research Letters. 71(6). 742–752. 7 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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