Sergio Zlotnik

1.6k citations
67 papers · 1.0k indexed · h-index 17
Topics
Model Reduction and Neural Networks (22 papers)earthquake and tectonic studies (14 papers)Geological and Geochemical Analysis (13 papers)
Partner nations
SpainChinaAustralia

In The Last Decade

Sergio Zlotnik

66 papers receiving 958 citations

Peers

Sergio Zlotnik
Comparison fields: 5 of 75
  • Geophysics 459
  • Statistical and Nonlinear Physics 216
  • Mechanics of Materials 187
  • Computational Mechanics 178
  • Statistics, Probability and Uncertainty 139
Replace Carlo Janna with:
Carlo Janna Italy
My Ha Dao Singapore
Nicola Castelletto United States
Frédéric Dufour France
George Papadakis Greece
Klaus Helbig Germany
A. Umpleby United Kingdom
G. Tartakovsky United States
Nanzhe Wang China
Maria I. Todorovska United States
Sergio Zlotnik relative to Carlo Janna Italy Carlo Janna's profile →
Citations per field
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Carlo Janna · 1×
Citations per year

Countries citing papers authored by Sergio Zlotnik

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Zlotnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergio Zlotnik

This figure shows the co-authorship network connecting the top 25 collaborators of Sergio Zlotnik. A scholar is included among the top collaborators of Sergio Zlotnik 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 Sergio Zlotnik. Sergio Zlotnik 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
1 1
2 3
3 3
4 10
5 2
6 8
7 5
8 9
9 15
10 7
11 8
12 8
13
A numerical model of the Western Mediterranean
1
14 16
15
Effects of kinematic boundary conditions on trench curvature in a retreating subduction zone: insights from analog modelling
1
16 7
17
Experimental study on the fiber-based diverting fracturing technology of artificial fractures and its field application
4
18 6
19 39
20 155

About Sergio Zlotnik

Sergio Zlotnik is a scholar working on Computational Mathematics, Statistics, Probability and Uncertainty and Statistical and Nonlinear Physics, having authored 67 papers that have together received 1.0k indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (22 papers), earthquake and tectonic studies (14 papers) and Geological and Geochemical Analysis (13 papers). The work is most often cited by research in Geophysics (459 citations), Computational Mathematics (16 citations) and Statistics, Probability and Uncertainty (139 citations). Sergio Zlotnik has collaborated with scholars based in Spain, China and Australia. Frequent co-authors include Pedro Dı́ez, Antonio Huerta, Juan Carlos Afonso, Manel Fernández, Claudio Faccenna, Fabio A. Capitanio, D. R. Stegman, Alberto García‐González, Jaume Vergés and Heather Wright. Their work appears in journals such as Nature, Nature Communications 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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