P. Gras

932 citations
27 papers · 588 · h-index 14

Impact in

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

Papers in

    • Particle physics theoretical and experimental studies 27
    • High-Energy Particle Collisions Research 24
    • Quantum Chromodynamics and Particle Interactions 11
    • Neutrino Physics Research 6
    • Particle Detector Development and Performance 5
    • Dark Matter and Cosmic Phenomena 4
    • Cosmology and Gravitation Theories 4

P. Gras

27 papers receiving 496 citations

Peers

P. Gras
Comparison fields: 5 of 24
  • Nuclear and High Energy Physics 568
  • Astronomy and Astrophysics 102
  • Artificial Intelligence 46
  • Acoustics and Ultrasonics 1
  • Statistical and Nonlinear Physics 12
Replace M. B. Andrews with:
M. B. Andrews Armenia
J. Fay France
D. Pitzl Switzerland
J. Kunkle Austria
B. Hashemi Austria
E. Butz
K. Maeshima Italy
I. D. Reid Belgium
L. Bäni Austria
S. Hagopian Austria
P. Gras relative to M. B. Andrews Armenia M. B. Andrews's profile →
Citations per field
00.5×1.5×1.8×
M. B. Andrews · 1×
Citations per year

Countries citing papers authored by P. Gras

Since Specialization
Citations

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

Fields of papers citing papers by P. Gras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201591
2 201952
3 201950
4 201842
5 201834
6 201832
7 201931
8 202026
9 202023
10 201922
11 202221
12 202020
13 202218
14 202118
15 201914
16 201813
17 202013
18 201913
19 201912
20 201912

About P. Gras

P. Gras is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Insect Science, Renewable Energy, Sustainability and the Environment and Obstetrics and Gynecology, having authored 27 papers that have together received 588 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (27 papers), High-Energy Particle Collisions Research (24 papers), Quantum Chromodynamics and Particle Interactions (11 papers), Neutrino Physics Research (6 papers), Particle Detector Development and Performance (5 papers), Cosmology and Gravitation Theories (4 papers) and Dark Matter and Cosmic Phenomena (4 papers). The work is most often cited by research in Nuclear and High Energy Physics (568 citations), Astronomy and Astrophysics (102 citations), Artificial Intelligence (46 citations), Acoustics and Ultrasonics (1 citation) and Statistical and Nonlinear Physics (12 citations). P. Gras has collaborated with scholars based in Austria, Belgium and Armenia. Their work appears in journals such as Journal of High Energy Physics, Physics Letters B, Physical review. D, The European Physical Journal C and Physical Review Letters.

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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