Fabio Cascioli

18 total papers · 2.6k total citations
7 papers, 681 citations indexed

About

Fabio Cascioli is a scholar working on Nuclear and High Energy Physics, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Fabio Cascioli has authored 7 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Nuclear and High Energy Physics, 3 papers in Electrical and Electronic Engineering and 1 paper in Artificial Intelligence. Recurrent topics in Fabio Cascioli's work include Particle physics theoretical and experimental studies (7 papers), Quantum Chromodynamics and Particle Interactions (5 papers) and High-Energy Particle Collisions Research (3 papers). Fabio Cascioli is often cited by papers focused on Particle physics theoretical and experimental studies (7 papers), Quantum Chromodynamics and Particle Interactions (5 papers) and High-Energy Particle Collisions Research (3 papers). Fabio Cascioli collaborates with scholars based in Switzerland, Germany and United States. Fabio Cascioli's co-authors include Stefano Pozzorini, Philipp Maierhöfer, Stefan Kallweit, F. Siegert, Massimiliano Grazzini, Andreas von Manteuffel, Dirk Rathlev, Lorenzo Tancredi, T. Gehrmann and Frank Krauss and has published in prestigious journals such as Physical Review Letters, Physics Letters B and Journal of High Energy Physics.

In The Last Decade

Fabio Cascioli

7 papers receiving 664 citations

Hit Papers

Scattering Amplitudes wit... 2012 2026 2016 2021 2012 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
Fabio Cascioli 666 49 30 28 21 7 681
Gionata Luisoni 735 1.1× 42 0.9× 34 1.1× 41 1.5× 32 1.5× 19 763
A. Bredenstein 602 0.9× 58 1.2× 23 0.8× 28 1.0× 11 0.5× 14 607
Stefano Actis 690 1.0× 95 1.9× 31 1.0× 19 0.7× 15 0.7× 20 709
C. Studerus 713 1.1× 41 0.8× 27 0.9× 29 1.0× 20 1.0× 10 765
M. Jaquier 601 0.9× 87 1.8× 22 0.7× 18 0.6× 10 0.5× 14 635
Christfried Focke 601 0.9× 44 0.9× 21 0.7× 24 0.9× 16 0.8× 6 620
T. Giani 529 0.8× 27 0.6× 20 0.7× 35 1.3× 28 1.3× 17 624
J. Vollinga 587 0.9× 55 1.1× 31 1.0× 28 1.0× 8 0.4× 5 688
Maximilian Stahlhofen 629 0.9× 37 0.8× 19 0.6× 19 0.7× 13 0.6× 27 661
T. Zirke 653 1.0× 88 1.8× 31 1.0× 42 1.5× 16 0.8× 9 717

Countries citing papers authored by Fabio Cascioli

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Cascioli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Cascioli

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