Michele Simionato

1.2k total citations · 1 hit paper
8 papers, 768 citations indexed

About

Michele Simionato is a scholar working on Artificial Intelligence, Geophysics and Civil and Structural Engineering. According to data from OpenAlex, Michele Simionato has authored 8 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Geophysics and 4 papers in Civil and Structural Engineering. Recurrent topics in Michele Simionato's work include Seismology and Earthquake Studies (6 papers), earthquake and tectonic studies (5 papers) and Seismic Performance and Analysis (3 papers). Michele Simionato is often cited by papers focused on Seismology and Earthquake Studies (6 papers), earthquake and tectonic studies (5 papers) and Seismic Performance and Analysis (3 papers). Michele Simionato collaborates with scholars based in Germany, New Zealand and Switzerland. Michele Simionato's co-authors include Vítor Silva, Marco Pagani, Daniele Viganò, Helen Crowley, Graeme Weatherill, Laurentiu Danciu, D. Monelli, Paul Henshaw, L. Bütler and Kendra Johnson and has published in prestigious journals such as Earthquake Spectra, Seismological Research Letters and EGU General Assembly Conference Abstracts.

In The Last Decade

Michele Simionato

7 papers receiving 719 citations

Hit Papers

OpenQuake Engine: An Open Hazard (and Risk) Software for ... 2014 2026 2018 2022 2014 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michele Simionato Germany 5 571 461 96 69 60 8 768
D. Monelli Switzerland 9 740 1.3× 656 1.4× 156 1.6× 86 1.2× 84 1.4× 11 1.1k
Xavier Goula Spain 17 366 0.6× 455 1.0× 62 0.6× 63 0.9× 42 0.7× 38 779
Anooshiravan Ansari Iran 15 424 0.7× 466 1.0× 85 0.9× 55 0.8× 34 0.6× 41 677
Massimiliano Stucchi Italy 12 561 1.0× 822 1.8× 181 1.9× 34 0.5× 23 0.4× 27 1.2k
Chris J. Wills United States 9 532 0.9× 626 1.4× 125 1.3× 27 0.4× 20 0.3× 15 839
G. M. Atkinson Canada 13 1.3k 2.2× 1.2k 2.7× 168 1.8× 43 0.6× 42 0.7× 17 1.6k
Fleur O. Strasser United Kingdom 16 1.0k 1.8× 932 2.0× 90 0.9× 49 0.7× 17 0.3× 27 1.3k
Matt Gerstenberger New Zealand 15 270 0.5× 831 1.8× 366 3.8× 129 1.9× 52 0.9× 32 1.1k
Ioanna Ioannou United Kingdom 15 483 0.8× 193 0.4× 26 0.3× 48 0.7× 38 0.6× 38 666
Miguel Á. Jaimes Mexico 15 410 0.7× 163 0.4× 21 0.2× 47 0.7× 35 0.6× 62 572

Countries citing papers authored by Michele Simionato

Since Specialization
Citations

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

Fields of papers citing papers by Michele Simionato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Simionato

This figure shows the co-authorship network connecting the top 25 collaborators of Michele Simionato. A scholar is included among the top collaborators of Michele Simionato 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 Michele Simionato. Michele Simionato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Rao, Anirudh, Kendra Johnson, Marco Pagani, et al.. (2025). Evolution of the OpenQuake Engine: Enhanced capabilities, collaborative development, and global adoption. Earthquake Spectra. 41(5). 3299–3336.
2.
Journeay, J M, Anirudh Rao, Luís Martins, et al.. (2023). A national seismic risk model for Canada: Methodology and scientific basis. Earthquake Spectra. 39(3). 1410–1434. 15 indexed citations
3.
DiCaprio, Christopher J., Sanjay Singh Bora, Brendon Bradley, et al.. (2023). Calculation of National Seismic Hazard Models with Large Logic Trees: Application to the NZ NSHM 2022. Seismological Research Letters. 95(1). 125–134. 2 indexed citations
4.
Pagani, Marco, Kendra Johnson, Valerio Poggi, et al.. (2020). The 2018 version of the Global Earthquake Model: Hazard component. Earthquake Spectra. 36(1S). 226–251. 75 indexed citations
5.
Silva, Vítor, Alejandro Calderón, Catarina Costa, et al.. (2020). Development of a global seismic risk model. Earthquake Spectra. 36(1S). 372–394. 115 indexed citations
6.
Silva, Vítor, Alejandro Calderón, Jamal Dabbeek, et al.. (2018). GEM Global Seismic Risk Map v.2018.1. 13 indexed citations
7.
Pagani, Marco, D. Monelli, Graeme Weatherill, et al.. (2014). OpenQuake Engine: An Open Hazard (and Risk) Software for the Global Earthquake Model. Seismological Research Letters. 85(3). 692–702. 547 indexed citations breakdown →
8.
Henshaw, Paul, Christopher G. Burton, Helen Crowley, et al.. (2013). OpenQuake, a platform for collaborative seismic hazard and risk assessment. EGU General Assembly Conference Abstracts. 1 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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