V. Miccio
- Nuclear and High Energy Physics top 10%
- Computer Networks and Communications
- Astronomy and Astrophysics
- Information Systems and Management
- Hardware and Architecture
- Co-authors
- Francesco Di RenzoC. TorreroYork SchröderM. LaineL. ScorzatoCarlos KavkaA. SciabàJ. M. Hernández
- Topics
- Distributed and Parallel Computing Systems (9 papers)Particle physics theoretical and experimental studies (8 papers)Quantum Chromodynamics and Particle Interactions (7 papers)
- Cited by
- Nuclear and High Energy PhysicsInformation Systems and ManagementComputer Networks and Communications
- Journals
- Journal of High Energy PhysicsIEEE Transactions on Nuclear ScienceThe European Physical Journal C
- Partner nations
- ItalySwitzerlandGermany
In The Last Decade
V. Miccio
16 papers receiving 100 citations
Peers
Comparison fields: 5 of 17
- Nuclear and High Energy Physics 86
- Computer Networks and Communications 32
- Astronomy and Astrophysics 15
- Information Systems and Management 14
- Hardware and Architecture 9
Countries citing papers authored by V. Miccio
This map shows the geographic impact of V. Miccio'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. Miccio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Miccio more than expected).
Fields of papers citing papers by V. Miccio
This network shows the impact of papers produced by V. Miccio. 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. Miccio. The network helps show where V. Miccio may publish in the future.
Co-authorship network of co-authors of V. Miccio
This figure shows the co-authorship network connecting the top 25 collaborators of V. Miccio. A scholar is included among the top collaborators of V. Miccio 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. Miccio. V. Miccio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 10 | |
| 5 | CRAB: an Application for Distributed Scientific Analysis in Grid Projects | 2 |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 11 | |
| 11 | Renormalization of infrared contributions to the QCD pressure | 1 |
| 12 | 1 | |
| 13 | 46 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 4 | |
| 17 | 4 | |
| 18 | 3 |
About V. Miccio
V. Miccio is a scholar working on Information Systems and Management, Nuclear and High Energy Physics and Computer Networks and Communications, having authored 18 papers that have together received 107 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (9 papers), Particle physics theoretical and experimental studies (8 papers) and Quantum Chromodynamics and Particle Interactions (7 papers). The work is most often cited by research in Nuclear and High Energy Physics (86 citations), Information Systems and Management (14 citations) and Computer Networks and Communications (32 citations). V. Miccio has collaborated with scholars based in Italy, Switzerland and Germany. Frequent co-authors include Francesco Di Renzo, C. Torrero, York Schröder, M. Laine, L. Scorzato, Carlos Kavka, A. Sciabà, J. M. Hernández, L. Zangrando and S. Lacaprara. Their work appears in journals such as Journal of High Energy Physics, IEEE Transactions on Nuclear Science and The European Physical Journal C.
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.