Glen Besterfield

433 citations
20 papers · 316 · h-index 8

Impact in

Papers in

Glen Besterfield

20 papers receiving 295 citations

Peers

Glen Besterfield
Comparison fields: 5 of 39
  • Statistics, Probability and Uncertainty 193
  • Civil and Structural Engineering 162
  • Mechanics of Materials 157
  • Media Technology 19
  • Environmental Engineering 29
Replace Sara Ganzerli with:
Sara Ganzerli United States
Y.J. Ren United States
S. Gollwitzer Germany
F.P. Grooteman Netherlands
Lars Tvedt Norway
Xueyong Qu United States
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Robert G. Sexsmith Canada
Pier Giorgio Malerba Italy
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Citations per field
00.5×6.3×
Sara Ganzerli · 1×
Citations per year

Countries citing papers authored by Glen Besterfield

Since Specialization
Citations

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

Fields of papers citing papers by Glen Besterfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Glen Besterfield, 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 Glen Besterfield Line = papers co-authored together Glen Besterfield links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 198875
2 199155
3 198855
4 199038
5 199213
6
Variational approach to probabilistic finite elements
199111
7
Assessment of a Web-Enhanced Course in Numerical Methods*
200510
8 19969
9 20037
10 20037
11 20036
12
PARAMETRIC FINITE ELEMENT MODELING AND FULL-SCALE TESTING OF TRUNNION-HUB-GIRDER ASSEMBLIES FOR BASCULE BRIDGES
20016
13 19926
14 19915
15 20063
16 20043
17 19882
18 19882
19 20202
20
Hub Assemblies for the Next Generation of Bascule Bridges
20061

About Glen Besterfield

Glen Besterfield is a scholar working on Mechanics of Materials, Civil and Structural Engineering, Statistics, Probability and Uncertainty, Media Technology and Mechanical Engineering, having authored 20 papers that have together received 316 indexed citations. Recurring topics across this work include Fatigue and fracture mechanics (7 papers), Probabilistic and Robust Engineering Design (7 papers), Numerical methods in engineering (5 papers), Mechanical Behavior of Composites (4 papers), Structural Load-Bearing Analysis (3 papers), Educational Assessment and Pedagogy (3 papers), Experimental Learning in Engineering (3 papers) and Composite Material Mechanics (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (193 citations), Civil and Structural Engineering (162 citations), Mechanics of Materials (157 citations), Media Technology (19 citations) and Environmental Engineering (29 citations). Glen Besterfield has collaborated with scholars based in United States and Ghana. Frequent co-authors include Ted Belytschko, Wing Kam Liu, Autar Kaw, Mark Lawrence, W. K. Liu, James Eison, Adam Mani, Thomas Eason, Marc Denninger and Nathan Collier. Their work appears in journals such as Journal of Engineering Mechanics, Theoretical and Applied Fracture Mechanics, International Journal of Solids and Structures, Computer Methods in Applied Mechanics and Engineering and International journal of engineering education.

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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