Joseph Virzi
- Nuclear and High Energy Physics top 5%
- Astronomy and Astrophysics top 10%
- Artificial Intelligence
- Computer Networks and Communications
- Statistical and Nonlinear Physics
- Co-authors
- Gilad PerezA. BelyaevKaustubh AgasheTadas KrupovnickasSeung J. LeeIlmo SungLeandro G. AlmeidaGeorge Sterman
- Topics
- Particle physics theoretical and experimental studies (6 papers)High-Energy Particle Collisions Research (3 papers)Cosmology and Gravitation Theories (3 papers)
- Journals
- Physical review. D. Particles, fields, gravitation, and cosmologyUniversity of North Texas Digital Library (University of North Texas)Bulletin of the American Physical Society
- Partner nations
- United StatesIsrael
In The Last Decade
Joseph Virzi
5 papers receiving 467 citations
Peers
Comparison fields: 5 of 18
- Nuclear and High Energy Physics 461
- Astronomy and Astrophysics 89
- Artificial Intelligence 25
- Computer Networks and Communications 8
- Statistical and Nonlinear Physics 7
Countries citing papers authored by Joseph Virzi
This map shows the geographic impact of Joseph Virzi'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 Joseph Virzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph Virzi more than expected).
Fields of papers citing papers by Joseph Virzi
This network shows the impact of papers produced by Joseph Virzi. 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 Joseph Virzi. The network helps show where Joseph Virzi may publish in the future.
Co-authorship network of co-authors of Joseph Virzi
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Virzi. A scholar is included among the top collaborators of Joseph Virzi 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 Joseph Virzi. Joseph Virzi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | Measurement of underlying event characteristics using charged particles in pp collisions at $\sqrt{s} = 7 TeV$ with the ATLAS detector at the LHC | 0 |
| 3 | 146 | |
| 4 | 90 | |
| 5 | 176 | |
| 6 | 54 |
About Joseph Virzi
Joseph Virzi is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Artificial Intelligence, having authored 6 papers that have together received 472 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (6 papers), High-Energy Particle Collisions Research (3 papers) and Cosmology and Gravitation Theories (3 papers). The work is most often cited by research in Nuclear and High Energy Physics (461 citations), Astronomy and Astrophysics (89 citations) and Artificial Intelligence (25 citations). Joseph Virzi has collaborated with scholars based in United States and Israel. Frequent co-authors include Gilad Perez, A. Belyaev, Kaustubh Agashe, Tadas Krupovnickas, Seung J. Lee, Ilmo Sung, Leandro G. Almeida, George Sterman, Ahmed Ismail and Devin G. E. Walker. Their work appears in journals such as Physical review. D. Particles, fields, gravitation, and cosmology, University of North Texas Digital Library (University of North Texas) and Bulletin of the American Physical Society.
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.