S. Arcelli

35.3k citations
4 papers · 27 · h-index 3

Impact in

    • Particle physics theoretical and experimental studies
    • High-Energy Particle Collisions Research
    • Quantum Chromodynamics and Particle Interactions
    • Dark Matter and Cosmic Phenomena
    • Neutrino Physics Research
    • Astrophysics and Cosmic Phenomena
    • Black Holes and Theoretical Physics
    • Cosmology and Gravitation Theories

Papers in

    • Particle physics theoretical and experimental studies 3
    • High-Energy Particle Collisions Research 2
    • Quantum Chromodynamics and Particle Interactions 1
    • Dark Matter and Cosmic Phenomena 1
    • Particle Detector Development and Performance 1
    • Computational Physics and Python Applications 1

S. Arcelli

4 papers receiving 27 citations

Peers

S. Arcelli
Comparison fields: 4 of 4
  • Nuclear and High Energy Physics 27
  • Astronomy and Astrophysics 3
  • Atomic and Molecular Physics, and Optics 2
  • Biomedical Engineering 1
Replace Jochen Biebel with:
Jochen Biebel Germany
E. Rodriguez Fernandez Switzerland
A. Soloshenko Tajikistan
Y. Pandit France
F. Laue United States
J. C. Dunlop United States
S. Luitz Germany
J. H. Lopes Brazil
M. Korolev Russia
V. Drollinger Italy
S. Arcelli relative to Jochen Biebel Germany Jochen Biebel's profile →
Citations per field
00.5×1.5×
Jochen Biebel · 1×
Citations per year

Countries citing papers authored by S. Arcelli

Since Specialization
Citations

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

Fields of papers citing papers by S. Arcelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside S. Arcelli, 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 S. Arcelli Line = papers co-authored together S. Arcelli links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown

About S. Arcelli

S. Arcelli is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence, Infectious Diseases, Organic Chemistry and Surgery, having authored 4 papers that have together received 27 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (3 papers), High-Energy Particle Collisions Research (2 papers), Quantum Chromodynamics and Particle Interactions (1 paper), Dark Matter and Cosmic Phenomena (1 paper), Particle Detector Development and Performance (1 paper) and Computational Physics and Python Applications (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (27 citations), Astronomy and Astrophysics (3 citations), Atomic and Molecular Physics, and Optics (2 citations), Biomedical Engineering (1 citation) and Infectious Diseases (0 citations). S. Arcelli has collaborated with scholars based in Italy, Germany and Israel. Frequent co-authors include R. Bartoldus, C. Charlesworth, D. G. Charlton, J. R. Batley, I.J. Bloodworth, K. J. Anderson, C. Ainsley, G. Anagnostou, G. Alexander and L. L. Kormos. Their work appears in journals such as The European Physical Journal C and Physics Letters B.

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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