Chiara Ravazzi

114 total papers · 1.3k total citations
61 papers, 561 citations indexed

About

Chiara Ravazzi is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Chiara Ravazzi has authored 61 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computational Mechanics, 20 papers in Statistical and Nonlinear Physics and 19 papers in Computer Networks and Communications. Recurrent topics in Chiara Ravazzi's work include Sparse and Compressive Sensing Techniques (21 papers), Opinion Dynamics and Social Influence (18 papers) and Complex Network Analysis Techniques (16 papers). Chiara Ravazzi is often cited by papers focused on Sparse and Compressive Sensing Techniques (21 papers), Opinion Dynamics and Social Influence (18 papers) and Complex Network Analysis Techniques (16 papers). Chiara Ravazzi collaborates with scholars based in Italy, Netherlands and United States. Chiara Ravazzi's co-authors include Roberto Tempo, Fabrizio Dabbene, Paolo Frasca, Hideaki Ishii, Enrico Magli, Sophie M. Fosson, Fabio Fagnani, Anton V. Proskurnikov, Marco Fiore and Giuseppe C. Calafiore and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Automatic Control and IEEE Transactions on Information Theory.

In The Last Decade

Chiara Ravazzi

57 papers receiving 550 citations

Author Peers

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

Author						Papers	Cites
Chiara Ravazzi	218	200	109	97	93	61	561
Abhimanyu Das	142 0.7×	147 0.7×	47 0.4×	173 1.8×	77 0.8×	35	690
Zhixin Liu	90 0.4×	403 2.0×	40 0.4×	132 1.4×	54 0.6×	71	674
Bilian Chen	88 0.4×	49 0.2×	56 0.5×	165 1.7×	48 0.5×	43	500
Tao Wu	124 0.6×	262 1.3×	14 0.1×	156 1.6×	165 1.8×	80	565
Gleb Gusev	124 0.6×	39 0.2×	127 1.2×	161 1.7×	25 0.3×	54	634
Emrah Akyol	69 0.3×	326 1.6×	41 0.4×	116 1.2×	264 2.8×	89	681
Cheng Wang	44 0.2×	186 0.9×	171 1.6×	104 1.1×	87 0.9×	55	649
Xuanyu Cao	50 0.2×	399 2.0×	66 0.6×	193 2.0×	218 2.3×	48	689
Ke Xu	56 0.3×	155 0.8×	39 0.4×	254 2.6×	46 0.5×	51	692
Fan Zhang	318 1.5×	233 1.2×	24 0.2×	191 2.0×	32 0.3×	48	514

Countries citing papers authored by Chiara Ravazzi

Since Specialization

Citations

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

Fields of papers citing papers by Chiara Ravazzi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiara Ravazzi

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