Daniele Cheloni

61 total papers · 1.7k total citations
28 papers, 1.1k citations indexed

About

Daniele Cheloni is a scholar working on Geophysics, Civil and Structural Engineering and Artificial Intelligence. According to data from OpenAlex, Daniele Cheloni has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Geophysics, 5 papers in Civil and Structural Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Daniele Cheloni's work include earthquake and tectonic studies (26 papers), High-pressure geophysics and materials (11 papers) and Earthquake Detection and Analysis (9 papers). Daniele Cheloni is often cited by papers focused on earthquake and tectonic studies (26 papers), High-pressure geophysics and materials (11 papers) and Earthquake Detection and Analysis (9 papers). Daniele Cheloni collaborates with scholars based in Italy, Türkiye and France. Daniele Cheloni's co-authors include N. D’Agostino, G. Selvaggi, A. Avallone, S. Mantenuto, E. D’Anastasio, R. Giuliani, Aybige Akıncı, G. Fornaro, Diego Reale and M. Mattone and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Scientific Reports and Geophysical Research Letters.

In The Last Decade

Daniele Cheloni

27 papers receiving 1.1k citations

Hit Papers

The 8 September 2023, MW ... 2024 2026 2024 10 20 30

Author Peers

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

Author Last Decade Papers Cites
Daniele Cheloni 985 117 98 88 68 28 1.1k
A. Galvani 867 0.9× 164 1.4× 76 0.8× 95 1.1× 80 1.2× 31 1.0k
Eric O. Lindsey 1.1k 1.1× 153 1.3× 69 0.7× 81 0.9× 71 1.0× 41 1.4k
Andrea Antonioli 894 0.9× 177 1.5× 117 1.2× 113 1.3× 76 1.1× 34 1.1k
G. Pietrantonio 931 0.9× 185 1.6× 86 0.9× 73 0.8× 128 1.9× 40 1.1k
E. D’Anastasio 1.3k 1.4× 162 1.4× 84 0.9× 138 1.6× 92 1.4× 34 1.5k
J. B. de Chabalier 1.1k 1.1× 125 1.1× 54 0.6× 166 1.9× 49 0.7× 26 1.3k
Shui‐Beih Yu 955 1.0× 123 1.1× 35 0.4× 93 1.1× 56 0.8× 19 1.1k
M. Flouzat 1.2k 1.2× 134 1.1× 81 0.8× 124 1.4× 118 1.7× 14 1.3k
Horng‐Yue Chen 1.3k 1.3× 203 1.7× 56 0.6× 142 1.6× 110 1.6× 33 1.5k
F. Obrizzo 841 0.9× 205 1.8× 62 0.6× 111 1.3× 134 2.0× 47 1.1k

Countries citing papers authored by Daniele Cheloni

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Cheloni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Cheloni

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Cheloni. A scholar is included among the top collaborators of Daniele Cheloni 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 Daniele Cheloni. Daniele Cheloni 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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