Luca Rottoli

3.5k citations
43 papers · 1.7k indexed · 1 hit paper · h-index 23

Luca Rottoli

42 papers receiving 1.7k citations

Hit Papers

Parton distributions from high-precision collider data6612017202620202023200400600

Peers

Luca Rottoli
Comparison fields: 5 of 26
  • Nuclear and High Energy Physics 1.6k
  • Astronomy and Astrophysics 87
  • Artificial Intelligence 62
  • Statistics and Probability 13
  • Computer Networks and Communications 33
Replace Pier Francesco Monni with:
Pier Francesco Monni Switzerland
Giancarlo Ferrera Italy
Leandro Cieri Italy
Zahari Kassabov United Kingdom
Marius Wiesemann Germany
Giuseppe Bozzi Italy
Fabrizio Caola United States
Emanuele Ré Italy
Marco Guzzi United States
Nathan P. Hartland United Kingdom
Luca Rottoli relative to Pier Francesco Monni Switzerland Pier Francesco Monni's profile →
Citations per field
00.5×1.6×
Pier Francesco Monni · 1×
Citations per year

Countries citing papers authored by Luca Rottoli

Since Specialization
Citations

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

Fields of papers citing papers by Luca Rottoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Luca Rottoli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Luca Rottoli Line = papers co-authored together Luca Rottoli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20241
4 20242
5 202413
6 202326
7 202327
8 20234
9 20232
10 202249
11 202213
12 202218
13 202219
14 20226
15 202124
16 202032
17 201935
18 201883
19
201645
20 201660

About Luca Rottoli

Luca Rottoli is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Artificial Intelligence, having authored 43 papers that have together received 1.7k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (42 papers), High-Energy Particle Collisions Research (34 papers), Quantum Chromodynamics and Particle Interactions (28 papers), Particle Detector Development and Performance (3 papers), Neutrino Physics Research (3 papers), Distributed and Parallel Computing Systems (3 papers), Astrophysics and Cosmic Phenomena (2 papers) and Dark Matter and Cosmic Phenomena (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (1.6k citations), Astronomy and Astrophysics (87 citations) and Artificial Intelligence (62 citations). Luca Rottoli has collaborated with scholars based in Switzerland, Italy and United Kingdom. Frequent co-authors include Juan Rojo, Valerio Bertone, Stefano Forte, Richard D. Ball, Nathan P. Hartland, Paolo Torrielli, Emanuele R. Nocera, Stefano Carrazza, Alberto Guffanti and Zahari Kassabov.

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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