J-F. Arguin

122.8k citations
3 papers · 40 · h-index 2

Impact in

    • Particle physics theoretical and experimental studies
    • High-Energy Particle Collisions Research
    • Particle Detector Development and Performance
    • Quantum Chromodynamics and Particle Interactions
    • Astrophysics and Cosmic Phenomena
    • Computational Physics and Python Applications
    • Anomaly Detection Techniques and Applications
    • Algorithms and Data Compression

Papers in

J-F. Arguin

2 papers receiving 40 citations

Peers

J-F. Arguin
Comparison fields: 5 of 20
  • Nuclear and High Energy Physics 32
  • Artificial Intelligence 16
  • Computer Graphics and Computer-Aided Design 1
  • Biophysics 1
  • Information Systems and Management 1
Replace D. Sengupta with:
D. Sengupta Switzerland
Kees Benkendorfer United States
N. R. Sahoo India
Pratik Jawahar Switzerland
F. Gaede Switzerland
I. Ochoa Portugal
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T. Dias Do Vale Switzerland
T. Strebler France
M. Dunford Germany
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Citations per field
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Citations per year

Countries citing papers authored by J-F. Arguin

Since Specialization
Citations

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

Fields of papers citing papers by J-F. Arguin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J-F. Arguin. 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 J-F. Arguin. The network helps show where J-F. Arguin may publish in the future.

Co-authors

The 13 scholars most cited alongside J-F. Arguin, 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 J-F. Arguin Line = papers co-authored together J-F. Arguin links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown

About J-F. Arguin

J-F. Arguin is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 3 papers that have together received 40 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (3 papers), Particle Detector Development and Performance (2 papers), Distributed and Parallel Computing Systems (1 paper), COVID-19 diagnosis using AI (1 paper), Anomaly Detection Techniques and Applications (1 paper) and High-Energy Particle Collisions Research (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (32 citations), Artificial Intelligence (16 citations), Computer Graphics and Computer-Aided Design (1 citation), Biophysics (1 citation) and Information Systems and Management (1 citation). J-F. Arguin has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include T. Golling, Zoltan Ligeti, Marat Freytsis, G. Lenzen, J. Moss, J. Dopke, S. Strandberg, S. Sandvoss, C. Zeitnitz and L. Masetti. Their work appears in journals such as Physical review. D and Physical review. D. Particles, fields, gravitation, and cosmology.

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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