Mauricio D. Sacchi

11.9k citations
355 papers · 9.4k indexed · 1 hit paper · h-index 47
Topics
Seismic Imaging and Inversion Techniques (274 papers)Seismic Waves and Analysis (151 papers)Image and Signal Denoising Methods (91 papers)
Partner nations
CanadaChinaArgentina

In The Last Decade

Mauricio D. Sacchi

330 papers receiving 9.0k citations

Hit Papers

Simultaneous seismic data denoising and reconstruction vi...20112026201620212011200400600

Peers

Mauricio D. Sacchi
Comparison fields: 5 of 121
  • Geophysics 8.1k
  • Ocean Engineering 3.3k
  • Computer Vision and Pattern Recognition 2.5k
  • Computational Mechanics 1.5k
  • Mechanical Engineering 1.5k
Replace Yangkang Chen with:
Yangkang Chen China
Felix J. Herrmann Canada
Jianwei Ma China
Sergey Fomel United States
Tadeusz J. Ulrych Canada
Jon F. Claerbout United States
William W. Symes United States
Omar Ghattas United States
D. J. Verschuur Netherlands
Laurent Demanet United States
Mauricio D. Sacchi relative to Yangkang Chen China Yangkang Chen's profile →
Citations per field
00.5×1.6×
Yangkang Chen · 1×
Citations per year

Countries citing papers authored by Mauricio D. Sacchi

Since Specialization
Citations

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

Fields of papers citing papers by Mauricio D. Sacchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mauricio D. Sacchi. 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 Mauricio D. Sacchi. The network helps show where Mauricio D. Sacchi may publish in the future.

Co-authorship network of co-authors of Mauricio D. Sacchi

This figure shows the co-authorship network connecting the top 25 collaborators of Mauricio D. Sacchi. A scholar is included among the top collaborators of Mauricio D. Sacchi 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 Mauricio D. Sacchi. Mauricio D. Sacchi 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
#WorkIndexed citations
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8 15
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13 15
14 25
15 136
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Fast and robust microseismic event detection using very fast simulated annealing
1
17 60
18 8
19 202
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About Mauricio D. Sacchi

Mauricio D. Sacchi is a scholar working on Geophysics, Computational Mathematics and Ocean Engineering, having authored 355 papers that have together received 9.4k indexed citations. Recurring topics across this work include Seismic Imaging and Inversion Techniques (274 papers), Seismic Waves and Analysis (151 papers) and Image and Signal Denoising Methods (91 papers). The work is most often cited by research in Geophysics (8.1k citations), Computational Mathematics (188 citations) and Ocean Engineering (3.3k citations). Mauricio D. Sacchi has collaborated with scholars based in Canada, China and Argentina. Frequent co-authors include Tadeusz J. Ulrych, Mostafa Naghizadeh, Daniel Trad, Bin Liu, David Bonar, Nadia Kreimer, Jinkun Cheng, Aaron Stanton, Jianjun Gao and Ke Chen. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Earth and Planetary Science Letters and Geophysical Research Letters.

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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