Paolo Torrielli
- Nuclear and High Energy Physics top 0.2%
- Astronomy and Astrophysics top 2%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Co-authors
- Stefano FrixioneRikkert FrederixFabio MaltoniValentin HirschiMarco ZaroOlivier MattelaerT. StelzerJohan Alwall
- Topics
- Particle physics theoretical and experimental studies (33 papers)High-Energy Particle Collisions Research (27 papers)Quantum Chromodynamics and Particle Interactions (27 papers)
- Partner nations
- ItalySwitzerlandBelgium
In The Last Decade
Paolo Torrielli
34 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 42
- Nuclear and High Energy Physics 4.4k
- Astronomy and Astrophysics 799
- Artificial Intelligence 274
- Computer Networks and Communications 109
- Electrical and Electronic Engineering 91
Countries citing papers authored by Paolo Torrielli
This map shows the geographic impact of Paolo Torrielli'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 Paolo Torrielli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo Torrielli more than expected).
Fields of papers citing papers by Paolo Torrielli
This network shows the impact of papers produced by Paolo Torrielli. 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 Paolo Torrielli. The network helps show where Paolo Torrielli may publish in the future.
Co-authorship network of co-authors of Paolo Torrielli
This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Torrielli. A scholar is included among the top collaborators of Paolo Torrielli 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 Paolo Torrielli. Paolo Torrielli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 19 | |
| 6 | 49 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 32 | |
| 10 | 20 | |
| 11 | 15 | |
| 12 | 83 | |
| 13 | 64 | |
| 14 | 50 | |
| 15 | The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulationsbreakdown → | 3377 |
| 16 | 138 | |
| 17 | 124 | |
| 18 | 27 | |
| 19 | 21 | |
| 20 | 41 |
About Paolo Torrielli
Paolo Torrielli is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Atomic and Molecular Physics, and Optics, having authored 35 papers that have together received 4.5k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (33 papers), High-Energy Particle Collisions Research (27 papers) and Quantum Chromodynamics and Particle Interactions (27 papers). The work is most often cited by research in Nuclear and High Energy Physics (4.4k citations), Astronomy and Astrophysics (799 citations) and Artificial Intelligence (274 citations). Paolo Torrielli has collaborated with scholars based in Italy, Switzerland and Belgium. Frequent co-authors include Stefano Frixione, Rikkert Frederix, Fabio Maltoni, Valentin Hirschi, Marco Zaro, Olivier Mattelaer, T. Stelzer, Johan Alwall, Hua-Sheng Shao and Emanuele Ré. Their work appears in journals such as Physical Review Letters, Physics Letters B and Journal of High Energy Physics.
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.