M. Corvo

19.0k citations
11 papers · 110 · h-index 5

Impact in

Papers in

M. Corvo

8 papers receiving 109 citations

Peers

M. Corvo
Comparison fields: 5 of 29
  • Nuclear and High Energy Physics 76
  • Astronomy and Astrophysics 28
  • Information Systems and Management 11
  • Statistical and Nonlinear Physics 18
  • Hardware and Architecture 9
Replace M. Feickert with:
M. Feickert United States
D. Yu United States
T. P. A. Åkesson Switzerland
D. Bourilkov United States
P. Koppenburg Netherlands
M. Sallé Netherlands
D. Adamová Czechia
J. C-L. Tseng United Kingdom
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M. Corvo relative to M. Feickert United States M. Feickert's profile →
Citations per field
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Citations per year

Countries citing papers authored by M. Corvo

Since Specialization
Citations

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

Fields of papers citing papers by M. Corvo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Corvo, 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 M. Corvo Line = papers co-authored together M. Corvo links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 201576
2 201314
3 20087
4 20086
5 20104
6 20141
7 20111
8 20121
9 20110
10 20250
11 20050

About M. Corvo

M. Corvo is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics, Information Systems and Management, Surgery and Hardware and Architecture, having authored 11 papers that have together received 110 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (7 papers), Particle physics theoretical and experimental studies (5 papers), Advanced Data Storage Technologies (5 papers), Particle Detector Development and Performance (3 papers), Scientific Computing and Data Management (2 papers), Nasal Surgery and Airway Studies (1 paper), Particle Accelerators and Free-Electron Lasers (1 paper) and Quantum Chromodynamics and Particle Interactions (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (76 citations), Astronomy and Astrophysics (28 citations), Information Systems and Management (11 citations), Statistical and Nonlinear Physics (18 citations) and Hardware and Architecture (9 citations). M. Corvo has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include E. Luppi, D. N. Brown, A. Di Simone, Armando Fella, R. Stroili, E. Paoloni, L. Tomassetti, A. Dorigo, D. N. Brown and F. Fanzago. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, International Archives of Otorhinolaryngology, Brazilian Journal of Otorhinolaryngology, Journal of Physics Conference Series and Institutional Research Information System University of Ferrara (University of Ferrara).

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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