C. De Vecchi

1.8k citations
7 papers · 15 indexed · h-index 3

Impact in

    • Radiation Detection and Scintillator Technologies
    • Particle Detector Development and Performance
    • Dark Matter and Cosmic Phenomena
    • Particle physics theoretical and experimental studies

Papers in

    • Particle Detector Development and Performance 4
    • Dark Matter and Cosmic Phenomena 1
    • Radiation Detection and Scintillator Technologies 4
    • Nuclear Physics and Applications 1

C. De Vecchi

6 papers receiving 14 citations

Peers

C. De Vecchi
Comparison fields: 5 of 16
  • Radiation 5
  • Nuclear and High Energy Physics 6
  • Cellular and Molecular Neuroscience 4
  • Cell Biology 2
  • Genetics 1
Replace Youngju Ko with:
Youngju Ko South Korea
N. Bondar United States
M. Mager Switzerland
J. Merz Germany
R. G. Beeler United States
H. S. Ko South Korea
S. Dutta India
Jan Roever Switzerland
K. Kurek Poland
V. di Lorenzo Hungary
C. De Vecchi relative to Youngju Ko South Korea Youngju Ko's profile →
Citations per field
00.5×1.5×
Youngju Ko · 1×
Citations per year

Countries citing papers authored by C. De Vecchi

Since Specialization
Citations

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

Fields of papers citing papers by C. De Vecchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. De Vecchi. 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 C. De Vecchi. The network helps show where C. De Vecchi may publish in the future.

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 19746
2 20222
3 20062
4 20062
5 20062
6 20181
7 20240

About C. De Vecchi

C. De Vecchi is a scholar working on Nuclear and High Energy Physics, Radiation, Mechanics of Materials, Atomic and Molecular Physics, and Optics and Genetics, having authored 7 papers that have together received 15 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (4 papers), Radiation Detection and Scintillator Technologies (4 papers), Muon and positron interactions and applications (2 papers), Dark Matter and Cosmic Phenomena (1 paper), Nuclear Physics and Applications (1 paper), Atomic and Molecular Physics (1 paper), CCD and CMOS Imaging Sensors (1 paper) and Atomic and Subatomic Physics Research (1 paper). The work is most often cited by research in Radiation (5 citations), Nuclear and High Energy Physics (6 citations), Cellular and Molecular Neuroscience (4 citations), Cell Biology (2 citations) and Genetics (1 citation). C. De Vecchi has collaborated with scholars based in Italy, Vietnam and China. Frequent co-authors include C. Angelini, G Danieli, E. Calligarich, M. Bonesini, E. Mocchiutti, D. Pagano, G.L. Raselli, M. Cambiaghi, L. Tortora and C. Viviani. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Journal of Instrumentation, Journal of Physics Conference Series, Nuclear Physics B - Proceedings Supplements and Social Biology.

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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2026