Chiara Casarotti

39 total papers · 805 total citations
21 papers, 591 citations indexed

About

Chiara Casarotti is a scholar working on Civil and Structural Engineering, Control and Systems Engineering and Building and Construction. According to data from OpenAlex, Chiara Casarotti has authored 21 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Civil and Structural Engineering, 3 papers in Control and Systems Engineering and 3 papers in Building and Construction. Recurrent topics in Chiara Casarotti's work include Seismic Performance and Analysis (12 papers), Structural Engineering and Vibration Analysis (9 papers) and Structural Health Monitoring Techniques (7 papers). Chiara Casarotti is often cited by papers focused on Seismic Performance and Analysis (12 papers), Structural Engineering and Vibration Analysis (9 papers) and Structural Health Monitoring Techniques (7 papers). Chiara Casarotti collaborates with scholars based in Italy, Portugal and United States. Chiara Casarotti's co-authors include Rui Pinho, Ricardo Monteiro, Raimundo Delgado, Stelios Antoniou, Alberto Pavese, Gianmario Benzoni, Marco Furinghetti, Ilaria Senaldi, Mário Marques and Simone Peloso and has published in prestigious journals such as Engineering Structures, Earthquake Engineering & Structural Dynamics and Applied Sciences.

In The Last Decade

Chiara Casarotti

19 papers receiving 553 citations

Author Peers

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

Author						Papers	Cites
Chiara Casarotti	531	197	33	32	23	21	591
Andrea Nettis	476 0.9×	116 0.6×	54 1.6×	14 0.4×	25 1.1×	34	545
Alban Kita	472 0.9×	52 0.3×	44 1.3×	15 0.5×	29 1.3×	17	537
Moon Kyum Kim	367 0.7×	149 0.8×	24 0.7×	60 1.9×	9 0.4×	40	555
Raffaele Cucuzza	419 0.8×	164 0.8×	11 0.3×	18 0.6×	12 0.5×	44	518
Pier Francesco Giordano	457 0.9×	52 0.3×	34 1.0×	21 0.7×	18 0.8×	43	540
David T. Lau	575 1.1×	257 1.3×	10 0.3×	55 1.7×	10 0.4×	40	626
Mário Lopes	517 1.0×	273 1.4×	10 0.3×	7 0.2×	36 1.6×	37	639
Corrado Chisari	500 0.9×	176 0.9×	9 0.3×	25 0.8×	12 0.5×	43	572
Hrishikesh Sharma	490 0.9×	164 0.8×	13 0.4×	14 0.4×	33 1.4×	38	615
Mamdouh El‐Badry	534 1.0×	156 0.8×	94 2.8×	26 0.8×	61 2.7×	46	632

Countries citing papers authored by Chiara Casarotti

Since Specialization

Citations

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

Fields of papers citing papers by Chiara Casarotti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiara Casarotti

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