Davide Napoletano

48 total papers · 639 total citations
22 papers, 308 citations indexed

About

Davide Napoletano is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Computational Mechanics. According to data from OpenAlex, Davide Napoletano has authored 22 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Nuclear and High Energy Physics, 1 paper in Computer Networks and Communications and 1 paper in Computational Mechanics. Recurrent topics in Davide Napoletano's work include Particle physics theoretical and experimental studies (21 papers), High-Energy Particle Collisions Research (21 papers) and Quantum Chromodynamics and Particle Interactions (15 papers). Davide Napoletano is often cited by papers focused on Particle physics theoretical and experimental studies (21 papers), High-Energy Particle Collisions Research (21 papers) and Quantum Chromodynamics and Particle Interactions (15 papers). Davide Napoletano collaborates with scholars based in Italy, United Kingdom and Germany. Davide Napoletano's co-authors include Stefano Forte, Maria Ubiali, Frank Krauss, Alessandro Broggio, Simone Alioli, Stefan Kallweit, Grégory Soyez, S. Schumann, Luca Rottoli and T. Giani and has published in prestigious journals such as Physics Letters B, Journal of High Energy Physics and Physical review. D.

In The Last Decade

Davide Napoletano

21 papers receiving 307 citations

Author Peers

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

Author Last Decade Papers Cites
Davide Napoletano 302 13 9 8 8 22 308
L. M. Scyboz 211 0.7× 18 1.4× 8 0.9× 12 1.5× 8 1.0× 17 218
Alba Soto-Ontoso 326 1.1× 20 1.5× 8 0.9× 15 1.9× 5 0.6× 27 338
Luca Buonocore 293 1.0× 23 1.8× 12 1.3× 17 2.1× 5 0.6× 23 301
T. Blake 231 0.8× 12 0.9× 6 0.7× 6 0.8× 8 1.0× 19 245
C. Vernieri 247 0.8× 22 1.7× 20 2.2× 23 2.9× 4 0.5× 17 266
Ze Long Liu 327 1.1× 15 1.2× 18 2.0× 21 2.6× 5 0.6× 23 345
Cai-Dian Lü 359 1.2× 11 0.8× 5 0.6× 4 0.5× 12 1.5× 21 365
Sascha Turczyk 278 0.9× 6 0.5× 16 1.8× 7 0.9× 4 0.5× 17 282
Taushif Ahmed 266 0.9× 25 1.9× 4 0.4× 3 0.4× 5 0.6× 19 281
Silvia Ferrario Ravasio 324 1.1× 23 1.8× 15 1.7× 16 2.0× 7 0.9× 22 344

Countries citing papers authored by Davide Napoletano

Since Specialization
Citations

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

Fields of papers citing papers by Davide Napoletano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davide Napoletano

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