Lars Beex

1.5k citations
42 papers · 1.1k indexed · h-index 21

Lars Beex

42 papers receiving 1.1k citations

Peers

Lars Beex
Comparison fields: 5 of 76
  • Mechanics of Materials 719
  • Statistics, Probability and Uncertainty 150
  • Civil and Structural Engineering 207
  • Mechanical Engineering 314
  • Computational Theory and Mathematics 116
Replace Balaji Raghavan with:
Balaji Raghavan France
Leiting Dong China
Ling Wu Belgium
Jiaying Gao United States
Siddhant Kumar Netherlands
Julia Mergheim Germany
Olivier Allix France
Alejandro M. Aragón Netherlands
Jože Korelc Slovenia
Atul Bhaskar United Kingdom
Lars Beex relative to Balaji Raghavan France Balaji Raghavan's profile →
Citations per field
00.5×1.5×2.0×
Balaji Raghavan · 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-authorship network

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
#Work
1 202310
2 20233
3 20222
4 20223
5 20216
6 20218
7 20205
8 20208
9 20202
10 2019109
11 201963
12 201913
13 201870
14 201615
15
Multi-scale methods for fracture: model learning across scales, digital twinning and factors of safety : primer on Bayesian Inference
20151
16 201439
17 201338
18 201333
19 201226
20 200988

About Lars Beex

Lars Beex is a scholar working on Mechanics of Materials, Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics, Mechanical Engineering and Civil and Structural Engineering, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Composite Material Mechanics (12 papers), Probabilistic and Robust Engineering Design (8 papers), Adhesion, Friction, and Surface Interactions (8 papers), Metal Forming Simulation Techniques (7 papers), Nonlocal and gradient elasticity in micro/nano structures (6 papers), Model Reduction and Neural Networks (6 papers), Material Properties and Processing (6 papers) and Numerical methods in engineering (6 papers). The work is most often cited by research in Mechanics of Materials (719 citations), Statistics, Probability and Uncertainty (150 citations), Civil and Structural Engineering (207 citations), Mechanical Engineering (314 citations) and Computational Theory and Mathematics (116 citations). Lars Beex has collaborated with scholars based in Luxembourg, United Kingdom and Netherlands. Frequent co-authors include R.H.J. Peerlings, Stéphane Bordas, Hussein Rappel, Bernhard Peters, Ludovic Noels, M.G.D. Geers, Jack Hale, M.G.D. Geers, Timon Rabczuk and Leong Hien Poh. Their work appears in journals such as International Journal for Numerical Methods in Engineering, Computer Methods in Applied Mechanics and Engineering, International Journal of Solids and Structures, Journal of the Mechanics and Physics of Solids and Computational Mechanics.

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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