J.-P. Bard

5.8k citations
11 papers · 3.2k · 1 hit paper · h-index 8

Impact in

    • Particle physics theoretical and experimental studies
    • Particle Detector Development and Performance
    • High-Energy Particle Collisions Research
    • Dark Matter and Cosmic Phenomena
    • Quantum Chromodynamics and Particle Interactions
  • Radiation top 10%
    • Radiation Detection and Scintillator Technologies

Papers in

J.-P. Bard

11 papers receiving 2.1k citations

J.-P. Bard's Hit Papers

The CMS experiment at the CERN LHC 2008 · 3k citations
3k0+6+12Years since publication5001k1.5k2k2.5k

Peers

J.-P. Bard
Comparison fields: 5 of 56
  • Nuclear and High Energy Physics 2.9k
  • Radiation 65
  • Computer Networks and Communications 139
  • Hardware and Architecture 42
  • Information Systems and Management 48
Replace M. Iannone with:
M. Iannone Italy
S. Kh. Karaevsky Russia
Lorenzo Roscilli Italy
N. Giudice Italy
Christos Papadimitropoulos Greece
Massimo Nuccetelli Italy
M. Anduze France
T. Dupasquier Switzerland
L. Zaccarelli Italy
Javier Navarrete Spain
J.-P. Bard relative to M. Iannone Italy M. Iannone's profile →
Citations per field
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M. Iannone · 1×
Citations per year

Countries citing papers authored by J.-P. Bard

Since Specialization
Citations

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

Fields of papers citing papers by J.-P. Bard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside J.-P. Bard, 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.-P. Bard Line = papers co-authored together J.-P. Bard links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
The CMS experiment at the CERN LHC
Hit paper breakdown →
20082963
2 2017123
3 200838
4 199635
5 201922
6 202011
7 20219
8 20158
9 20176
10 20184
11 20191

About J.-P. Bard

J.-P. Bard is a scholar working on Nuclear and High Energy Physics, Radiation, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 11 papers that have together received 3.2k indexed citations. Recurring topics across this work include Particle Detector Development and Performance (7 papers), Radiation Detection and Scintillator Technologies (4 papers) and Dark Matter and Cosmic Phenomena (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (2.9k citations), Radiation (65 citations), Computer Networks and Communications (139 citations), Hardware and Architecture (42 citations) and Information Systems and Management (48 citations). J.-P. Bard has collaborated with scholars based in France, Germany and Switzerland. Frequent co-authors include Dominique Yvon, Viatcheslav Sharyy, Mikhail V. Korzhik, A. Marcel, E. Delagnes, C. Morel, D. Desforge, Patrice Verrecchia, D. Breton and Jihane Maalmi. Their work appears in journals such as Journal of Instrumentation, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, IEEE Transactions on Nuclear Science, Physical review. D and Astroparticle Physics.

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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