Claudio Fava

33 total papers · 844 total citations
21 papers, 355 citations indexed

About

Claudio Fava is a scholar working on Electrical and Electronic Engineering, Radiation and Aerospace Engineering. According to data from OpenAlex, Claudio Fava has authored 21 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 16 papers in Radiation and 7 papers in Aerospace Engineering. Recurrent topics in Claudio Fava's work include Particle Accelerators and Free-Electron Lasers (16 papers), Advanced X-ray Imaging Techniques (13 papers) and Particle accelerators and beam dynamics (7 papers). Claudio Fava is often cited by papers focused on Particle Accelerators and Free-Electron Lasers (16 papers), Advanced X-ray Imaging Techniques (13 papers) and Particle accelerators and beam dynamics (7 papers). Claudio Fava collaborates with scholars based in Italy, United States and Spain. Claudio Fava's co-authors include G. Cautero, Paolo Lacovig, Alexei Barinov, Pavel Dudin, М. Кискинова, Cristian Svetina, L. Rumiz, Marco Zangrando, A. Abrami and R. Tommasini and has published in prestigious journals such as The American Historical Review, Review of Scientific Instruments and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

Claudio Fava

19 papers receiving 344 citations

Author Peers

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

Author Last Decade Papers Cites
Claudio Fava 161 151 104 97 66 21 355
M. Mertin 137 0.9× 134 0.9× 114 1.1× 99 1.0× 58 0.9× 15 386
Daniele Cocco 137 0.9× 141 0.9× 131 1.3× 85 0.9× 32 0.5× 22 386
M. Marczynski-Bühlow 177 1.1× 85 0.6× 55 0.5× 149 1.5× 61 0.9× 16 380
Umut T. Sanli 95 0.6× 106 0.7× 110 1.1× 74 0.8× 31 0.5× 21 325
M.-T. Tang 184 1.1× 160 1.1× 81 0.8× 82 0.8× 16 0.2× 22 372
Ludwig Mayer 60 0.4× 98 0.6× 36 0.3× 192 2.0× 58 0.9× 19 333
Kristin Høydalsvik 199 1.2× 121 0.8× 75 0.7× 51 0.5× 16 0.2× 21 387
R. Thornley 67 0.4× 147 1.0× 37 0.4× 88 0.9× 185 2.8× 18 356
Matthias Müller 148 0.9× 105 0.7× 145 1.4× 89 0.9× 21 0.3× 27 337
M. Awaji 128 0.8× 69 0.5× 205 2.0× 33 0.3× 68 1.0× 36 385

Countries citing papers authored by Claudio Fava

Since Specialization
Citations

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

Fields of papers citing papers by Claudio Fava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudio Fava

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