V. R. Pascuzzi

38.8k citations
8 papers · 43 indexed · h-index 5
Topics
Particle physics theoretical and experimental studies (3 papers)Particle Detector Development and Performance (3 papers)Quantum Computing Algorithms and Architecture (3 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of Mathematical PhysicsPhysical review. A

In The Last Decade

V. R. Pascuzzi

7 papers receiving 42 citations

Peers

V. R. Pascuzzi
Comparison fields: 5 of 17
  • Artificial Intelligence 25
  • Atomic and Molecular Physics, and Optics 18
  • Electrical and Electronic Engineering 8
  • Nuclear and High Energy Physics 7
  • Hardware and Architecture 6
Replace M. Lolli with:
M. Lolli Italy
Mitchell Matheny United States
K. Potamianos United States
André Zambanini Germany
D. Zuliani Italy
K. Borras Germany
Nahum Sá Jordan
Zachary Myers United States
Benjamin Villalonga United States
Kevin Krsulich United States
V. R. Pascuzzi relative to M. Lolli Italy M. Lolli's profile →
Citations per field
00.5×
M. Lolli · 1×
Citations per year

Countries citing papers authored by V. R. Pascuzzi

Since Specialization
Citations

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

Fields of papers citing papers by V. R. Pascuzzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. R. Pascuzzi. 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 V. R. Pascuzzi. The network helps show where V. R. Pascuzzi may publish in the future.

Co-authorship network of co-authors of V. R. Pascuzzi

This figure shows the co-authorship network connecting the top 25 collaborators of V. R. Pascuzzi. A scholar is included among the top collaborators of V. R. Pascuzzi 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 V. R. Pascuzzi. V. R. Pascuzzi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 4
2 1
3 22
4 4
5 4
6 6
7 0
8 2

About V. R. Pascuzzi

V. R. Pascuzzi is a scholar working on Hardware and Architecture, Nuclear and High Energy Physics and Radiation, having authored 8 papers that have together received 43 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (3 papers), Particle Detector Development and Performance (3 papers) and Quantum Computing Algorithms and Architecture (3 papers). The work is most often cited by research in Hardware and Architecture (6 citations), Artificial Intelligence (25 citations) and Atomic and Molecular Physics, and Optics (18 citations). V. R. Pascuzzi has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Wibe A. de Jong, Benjamin Nachman, C. Bauer, Francesco Tacchino, S. Y. Jun, Meifeng Lin, C. Leggett, Philippe Canal, S. C. Tognini and Stefan Kühn. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Mathematical Physics and Physical review. A.

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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