Jonathan Barés

62 papers receiving 1.2k citations

Peers

Jonathan Barés
Comparison fields: 5 of 65
  • Computational Mechanics 452
  • Condensed Matter Physics 174
  • Acoustics and Ultrasonics 17
  • Civil and Structural Engineering 162
  • Automotive Engineering 65
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Hua Yan China
Ratna Kumar Annabattula India
Yahua Liu China
S. G. R. Brown United Kingdom
T. D. Papathanasiou United States
N. Ramakrishnan India
Xiaofan Gou China
Vijay Kumar Stokes United States
Srđan Šimunović United States
Darren C. Pagan United States
Jonathan Barés relative to Hua Yan China Hua Yan's profile →
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Citations per year

Countries citing papers authored by Jonathan Barés

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Barés

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019135
2 2020131
3 201992
4 201769
5 201948
6 202048
7 201637
8 201837
9 202032
10 201428
11 201927
12 201922
13 202022
14 201621
15 201320
16 202020
17 202120
18 201918
19 201417
20
Self-organized magnetic particles to tune the mechanical behavior of a granular system
201617

About Jonathan Barés

Jonathan Barés is a scholar working on Computational Mechanics, Condensed Matter Physics, Materials Chemistry, Mechanics of Materials and Civil and Structural Engineering, having authored 67 papers that have together received 1.2k indexed citations. Recurring topics across this work include Granular flow and fluidized beds (38 papers), Material Dynamics and Properties (24 papers), Theoretical and Computational Physics (17 papers), Geotechnical Engineering and Soil Mechanics (8 papers), Rock Mechanics and Modeling (5 papers), earthquake and tectonic studies (4 papers), Fatigue and fracture mechanics (4 papers) and Bone Tissue Engineering Materials (4 papers). The work is most often cited by research in Computational Mechanics (452 citations), Condensed Matter Physics (174 citations), Acoustics and Ultrasonics (17 citations), Civil and Structural Engineering (162 citations) and Automotive Engineering (65 citations). Jonathan Barés has collaborated with scholars based in France, United States and China. Frequent co-authors include Robert Behringer, Daniel Bonamy, Hu Zheng, Vincent Huon, Mikhaël Bechelany, Mathieu Renouf, Catherine Teyssier, Habib Belaid, Vincent Cavaillès and David Cornu. Their work appears in journals such as Physical review. E, Granular Matter, Physical Review Letters, Materials Science and Engineering C and ACS Applied Bio Materials.

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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