Peter Berring

616 total citations
39 papers, 410 citations indexed

About

Peter Berring is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Mechanical Engineering. According to data from OpenAlex, Peter Berring has authored 39 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Civil and Structural Engineering, 22 papers in Mechanics of Materials and 16 papers in Mechanical Engineering. Recurrent topics in Peter Berring's work include Structural Health Monitoring Techniques (20 papers), Fatigue and fracture mechanics (10 papers) and Mechanical stress and fatigue analysis (8 papers). Peter Berring is often cited by papers focused on Structural Health Monitoring Techniques (20 papers), Fatigue and fracture mechanics (10 papers) and Mechanical stress and fatigue analysis (8 papers). Peter Berring collaborates with scholars based in Denmark, United Kingdom and United States. Peter Berring's co-authors include Kim Branner, Xiao Chen, С. Г. Семенов, Henrik Stensgaard Toft, John Dalsgaard Sørensen, Christian Berggreen, Malcolm McGugan, Philipp Ulrich Haselbach, Simone Manzato and Marcin Łuczak and has published in prestigious journals such as Composites Part A Applied Science and Manufacturing, Composite Structures and Engineering Structures.

In The Last Decade

Peter Berring

38 papers receiving 395 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter Berring Denmark 12 240 234 120 114 63 39 410
Xianqiang Qu China 15 191 0.8× 319 1.4× 161 1.3× 31 0.3× 87 1.4× 55 492
Mauro J. Atalla United States 7 222 0.9× 362 1.5× 90 0.8× 52 0.5× 47 0.7× 14 434
Houssein Nasser France 13 370 1.5× 331 1.4× 121 1.0× 173 1.5× 83 1.3× 30 644
Seyed Bahram Beheshti Aval Iran 19 327 1.4× 638 2.7× 100 0.8× 103 0.9× 66 1.0× 51 827
D.J. Lekou Greece 10 198 0.8× 170 0.7× 82 0.7× 65 0.6× 43 0.7× 20 356
Andries de Boer Netherlands 9 149 0.6× 189 0.8× 91 0.8× 37 0.3× 20 0.3× 66 333
Wenye Tian China 10 264 1.1× 192 0.8× 101 0.8× 35 0.3× 147 2.3× 17 497
António P.V. Urgueira Portugal 9 115 0.5× 260 1.1× 88 0.7× 28 0.2× 60 1.0× 16 335
Dayton Griffin United States 9 123 0.5× 112 0.5× 93 0.8× 220 1.9× 72 1.1× 22 407
Simone Manzato Belgium 9 55 0.2× 154 0.7× 77 0.6× 46 0.4× 66 1.0× 27 223

Countries citing papers authored by Peter Berring

Since Specialization
Citations

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

Fields of papers citing papers by Peter Berring

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Berring

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Berring. A scholar is included among the top collaborators of Peter Berring based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Berring. Peter Berring is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Haselbach, Philipp Ulrich & Peter Berring. (2024). Spar Cap/Shear Web Debonding Under Fatigue Loading Studied On The DTU 12.6m Wind Turbine Blade. Procedia Structural Integrity. 57. 169–178. 1 indexed citations
3.
Verelst, David Robert, et al.. (2024). Static response of wind turbine blades: Comparison of low- and high-fidelity numerical models. Journal of Physics Conference Series. 2767(5). 52037–52037. 1 indexed citations
4.
Chen, Xiao, et al.. (2024). Monitoring fatigue delamination growth in a wind turbine blade using passive thermography and acoustic emission. Structural Health Monitoring. 23(5). 2906–2921. 14 indexed citations
5.
Berring, Peter, et al.. (2022). Experimental demonstration of strain-based damage method for optimized fatigue testing of wind turbine blades. Composite Structures. 293. 115683–115683. 8 indexed citations
6.
Belloni, Federico, et al.. (2020). Optimized method for multi-axial fatigue testing of wind turbine blades. Composite Structures. 257. 113358–113358. 14 indexed citations
7.
Haselbach, Philipp Ulrich, С. Г. Семенов, & Peter Berring. (2020). DTU’s blade research and demonstration platform. IOP Conference Series Materials Science and Engineering. 942(1). 12043–12043. 3 indexed citations
8.
Chen, Xiao, et al.. (2020). Fatigue testing of a 14.3 m composite blade embedded with artificial defects – Damage growth and structural health monitoring. Composites Part A Applied Science and Manufacturing. 140. 106189–106189. 51 indexed citations
9.
10.
Łuczak, Marcin, Bart Peeters, Simone Manzato, et al.. (2018). Research sized wind turbine blade modal tests: comparison of the impact excitation with shaker excitation. Journal of Physics Conference Series. 1102. 12022–12022. 9 indexed citations
11.
Kim, Oleksiy S., Sergey Pivnenko, Olav Breinbjerg, et al.. (2015). DTU-ESA millimeter-wave VAlidation STandard antenna (mm-VAST) - detailed design. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 1–4. 4 indexed citations
12.
Lekou, D.J., Kim Branner, Peter Berring, et al.. (2015). A Critical Evaluation of Structural Analysis Tools used for the Design of Large Composite Wind Turbine Rotor Blades under Ultimate and Cycle Loading. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 3 indexed citations
13.
Rizzo, Cesare Mario, et al.. (2013). An high order Mixed Interpolation Tensorial Components (MITC) shell element approach for modeling the buckling behavior of delaminated composites. Composite Structures. 108. 657–666. 14 indexed citations
14.
Branner, Kim, et al.. (2011). COMPARISON OF TWO FINITE ELEMENT METHODS WITH EXPERIMENTS OF DELAMINATED COMPOSITE PANELS. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 1 indexed citations
15.
Łuczak, Marcin, et al.. (2011). Dynamic investigation of twist-bend coupling in a wind turbine blade. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 49(3). 765–789. 14 indexed citations
16.
Dimitrov, Nikolay, et al.. (2009). INVESTIGATION OF STRUCTURAL BEHAVIOUR DUE TO BEND-TWIST COUPLINGS IN WIND TURBINE BLADES. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 6 indexed citations
17.
Toft, Henrik Stensgaard, Kim Branner, Peter Berring, & John Dalsgaard Sørensen. (2009). Distribution of Defects in Wind Turbine Blades and Reliability Assessment of Blades Containing Defects. VBN Forskningsportal (Aalborg Universitet). 42–47. 4 indexed citations
18.
Branner, Kim, Per Hørlyk Nielsen, Peter Berring, et al.. (2008). Full Scale Test of a SSP 34m boxgirder 2: Data report. 1 indexed citations
19.
Berring, Peter, et al.. (2007). TORSIONAL PERFORMANCE OF WIND TURBINE BLADES � PART I: EXPERIMENTAL INVESTIGATION. Zenodo (CERN European Organization for Nuclear Research). 11 indexed citations
20.
Berring, Peter, et al.. (2007). Torsional performance of wind turbine blades - Part 1: Experimental investigation. 1118–1119. 20 indexed citations

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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