Flora Garofalo

26 total papers · 1.0k total citations
15 papers, 718 citations indexed

About

Flora Garofalo is a scholar working on Geophysics, Ocean Engineering and Artificial Intelligence. According to data from OpenAlex, Flora Garofalo has authored 15 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Geophysics, 11 papers in Ocean Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Flora Garofalo's work include Seismic Waves and Analysis (14 papers), Seismic Imaging and Inversion Techniques (9 papers) and Geophysics and Sensor Technology (9 papers). Flora Garofalo is often cited by papers focused on Seismic Waves and Analysis (14 papers), Seismic Imaging and Inversion Techniques (9 papers) and Geophysics and Sensor Technology (9 papers). Flora Garofalo collaborates with scholars based in Italy, United States and France. Flora Garofalo's co-authors include Sebastiano Foti, Brady R. Cox, Fabrice Hollender, D. Sicilia, Cécile Cornou, Matthias Ohrnberger, Pierre‐Yves Bard, Laura Valentina Socco, Giuseppe Di Giulio and Valerio Poggi and has published in prestigious journals such as Geophysics, Soil Dynamics and Earthquake Engineering and Bulletin of Earthquake Engineering.

In The Last Decade

Flora Garofalo

14 papers receiving 705 citations

Hit Papers

Guidelines for the good p... 2017 2026 2020 2023 2017 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Flora Garofalo 669 297 237 109 40 15 718
Enrico Lunedei 840 1.3× 257 0.9× 364 1.5× 88 0.8× 41 1.0× 23 895
S. M. Richwalski 611 0.9× 184 0.6× 254 1.1× 75 0.7× 11 0.3× 20 641
Céline Gélis 689 1.0× 196 0.7× 319 1.3× 45 0.4× 40 1.0× 38 787
Richard E. Warrick 596 0.9× 100 0.3× 291 1.2× 118 1.1× 16 0.4× 23 682
F. Renalier 677 1.0× 273 0.9× 225 0.9× 82 0.8× 42 1.1× 11 753
Miriam Kristeková 595 0.9× 107 0.4× 184 0.8× 52 0.5× 45 1.1× 24 688
Fortunat Kind 637 1.0× 156 0.5× 288 1.2× 70 0.6× 14 0.3× 5 678
N. Maercklin 623 0.9× 106 0.4× 114 0.5× 110 1.0× 58 1.4× 23 706
Sheri Molnar 559 0.8× 113 0.4× 315 1.3× 55 0.5× 16 0.4× 42 647
Reinoud Sleeman 585 0.9× 131 0.4× 145 0.6× 390 3.6× 40 1.0× 23 700

Countries citing papers authored by Flora Garofalo

Since Specialization
Citations

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

Fields of papers citing papers by Flora Garofalo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Flora Garofalo

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

All Works

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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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