Lars Beex

1.6k citations
42 papers · 1.3k · h-index 21

Impact in

Papers in

Lars Beex

42 papers receiving 1.2k citations

Peers

Lars Beex
Comparison fields: 5 of 64
  • Mechanics of Materials 687
  • Statistics, Probability and Uncertainty 142
  • Computational Theory and Mathematics 214
  • Statistical and Nonlinear Physics 59
  • Computational Mechanics 94
Replace Kumar S. Vemaganti with:
Kumar S. Vemaganti United States
Johann Guilleminot United States
Yao Koutsawa Luxembourg
Daniela Paola Boso Italy
Jiaying Gao United States
G.Y. Li China
Wing Kam Liu United States
F.M. Andrade Pires Portugal
Athanasios Iliopoulos United States
Jože Korelc Slovenia
Lars Beex relative to Kumar S. Vemaganti United States Kumar S. Vemaganti's profile →
Citations per field
00.5×2×2.7×
Kumar S. Vemaganti · 1×
Citations per year

Countries citing papers authored by Lars Beex

Since Specialization
Citations

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

Fields of papers citing papers by Lars Beex

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019124
2 2019112
3 200997
4 201875
5 201973
6 201772
7 202065
8 201342
9 201141
10 201341
11 201340
12 201439
13 201936
14 201333
15 201531
16 201430
17 201229
18 201925
19 201424
20 201522

About Lars Beex

Lars Beex is a scholar working on Mechanics of Materials, Computational Theory and Mathematics, Statistics, Probability and Uncertainty, Computational Mechanics and Statistical and Nonlinear Physics, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include Numerical methods in engineering (13 papers), Advanced Mathematical Modeling in Engineering (12 papers), Probabilistic and Robust Engineering Design (9 papers), Advanced Numerical Methods in Computational Mathematics (5 papers), Composite Material Mechanics (4 papers), Elasticity and Material Modeling (4 papers), Mechanical Behavior of Composites (4 papers) and Contact Mechanics and Variational Inequalities (4 papers). The work is most often cited by research in Mechanics of Materials (687 citations), Statistics, Probability and Uncertainty (142 citations), Computational Theory and Mathematics (214 citations), Statistical and Nonlinear Physics (59 citations) and Computational Mechanics (94 citations). Lars Beex has collaborated with scholars based in Luxembourg, United Kingdom and Netherlands. Frequent co-authors include Ron Peerlings, Stéphane Bordas, Hussein Rappel, Bernhard J. Peters, Ludovic Noels, M.G.D. Geers, Jack Hale, Leong Hien Poh, Timon Rabczuk and Jan Zeman. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, International Journal for Numerical Methods in Engineering, International Journal of Solids and Structures, Journal of the Mechanics and Physics of Solids and Composite Structures.

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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