Alessandro Candido

89 total papers · 492 total citations
18 papers, 245 citations indexed

About

Alessandro Candido is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Alessandro Candido has authored 18 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Nuclear and High Energy Physics, 4 papers in Artificial Intelligence and 3 papers in Computer Networks and Communications. Recurrent topics in Alessandro Candido's work include Particle physics theoretical and experimental studies (12 papers), Quantum Chromodynamics and Particle Interactions (8 papers) and High-Energy Particle Collisions Research (7 papers). Alessandro Candido is often cited by papers focused on Particle physics theoretical and experimental studies (12 papers), Quantum Chromodynamics and Particle Interactions (8 papers) and High-Energy Particle Collisions Research (7 papers). Alessandro Candido collaborates with scholars based in Italy, Netherlands and Switzerland. Alessandro Candido's co-authors include Felix Hekhorn, Giacomo Magni, Juan Rojo, Stefano Forte, Juan Cruz–Martinez, Richard D. Ball, T. Giani, Roy Stegeman, Christopher Schwan and Emanuele R. Nocera and has published in prestigious journals such as Nature, Computer Physics Communications and Journal of High Energy Physics.

In The Last Decade

Alessandro Candido

14 papers receiving 243 citations

Author Peers

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

Author Last Decade Papers Cites
Alessandro Candido 187 20 14 13 11 18 245
Felix Hekhorn 185 1.0× 21 1.1× 15 1.1× 8 0.6× 10 0.9× 17 236
F. Marzano 249 1.3× 16 0.8× 5 0.4× 8 0.6× 16 1.5× 18 290
M. Arratia 174 0.9× 7 0.3× 8 0.6× 19 1.5× 4 0.4× 23 199
A. Hinzmann 157 0.8× 10 0.5× 10 0.7× 23 1.8× 8 0.7× 17 194
Robbert Rietkerk 285 1.5× 7 0.3× 30 2.1× 23 1.8× 6 0.5× 10 310
Witold Pokorski 164 0.9× 26 1.3× 44 3.1× 7 0.5× 3 0.3× 22 221
В. В. Ежела 254 1.4× 14 0.7× 11 0.8× 3 0.2× 4 0.4× 24 288
P. Musset 187 1.0× 12 0.6× 14 1.0× 8 0.6× 36 3.3× 26 224
A. Lebedev 233 1.2× 6 0.3× 12 0.9× 12 0.9× 16 1.5× 26 320
Meijian Li 180 1.0× 12 0.6× 14 1.0× 12 0.9× 35 3.2× 27 251

Countries citing papers authored by Alessandro Candido

Since Specialization
Citations

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

Fields of papers citing papers by Alessandro Candido

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandro Candido

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