Danilo R. Velis

1.4k total citations
61 papers, 1.0k citations indexed

About

Danilo R. Velis is a scholar working on Geophysics, Ocean Engineering and Artificial Intelligence. According to data from OpenAlex, Danilo R. Velis has authored 61 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Geophysics, 19 papers in Ocean Engineering and 17 papers in Artificial Intelligence. Recurrent topics in Danilo R. Velis's work include Seismic Imaging and Inversion Techniques (47 papers), Seismic Waves and Analysis (30 papers) and Seismology and Earthquake Studies (13 papers). Danilo R. Velis is often cited by papers focused on Seismic Imaging and Inversion Techniques (47 papers), Seismic Waves and Analysis (30 papers) and Seismology and Earthquake Studies (13 papers). Danilo R. Velis collaborates with scholars based in Argentina, Canada and Switzerland. Danilo R. Velis's co-authors include Juan I. Sabbione, Mauricio D. Sacchi, Tadeusz J. Ulrych, J. Germán Rubino, Allan D. Woodbury, Klaus Holliger, Boris Gurevich, Michael B. Clennell, Luis Guarracino and Maxim Lebedev and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Geophysical Research Letters.

In The Last Decade

Danilo R. Velis

58 papers receiving 973 citations

Peers

Danilo R. Velis
Comparison fields: 5 of 63
  • Geophysics 838
  • Ocean Engineering 352
  • Artificial Intelligence 240
  • Mechanical Engineering 164
  • Computer Vision and Pattern Recognition 159
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Citations per field, relative to Danilo R. Velis
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Citations per year, relative to Danilo R. Velis
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Countries citing papers authored by Danilo R. Velis

Since Specialization
Citations

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

Fields of papers citing papers by Danilo R. Velis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danilo R. Velis. 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 Danilo R. Velis. The network helps show where Danilo R. Velis may publish in the future.

Co-authorship network of co-authors of Danilo R. Velis

This figure shows the co-authorship network connecting the top 25 collaborators of Danilo R. Velis. A scholar is included among the top collaborators of Danilo R. Velis 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 Danilo R. Velis. Danilo R. Velis 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
# Work Indexed citations
1 2
2 1
3 7
4 9
5 2
6 9
7 6
8 5
9
Simple and fast gradient-based impedance inversion using total variation regularization
1
10 2
11 76
12 21
13
Fast and robust microseismic event detection using very fast simulated annealing
1
14 138
15 24
16 124
17 6
18 8
19 48
20 75

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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