Kim Branner

2.6k total citations · 1 hit paper
93 papers, 1.8k citations indexed

About

Kim Branner is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Mechanical Engineering. According to data from OpenAlex, Kim Branner has authored 93 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Civil and Structural Engineering, 55 papers in Mechanics of Materials and 36 papers in Mechanical Engineering. Recurrent topics in Kim Branner's work include Structural Health Monitoring Techniques (38 papers), Fatigue and fracture mechanics (18 papers) and Mechanical stress and fatigue analysis (16 papers). Kim Branner is often cited by papers focused on Structural Health Monitoring Techniques (38 papers), Fatigue and fracture mechanics (18 papers) and Mechanical stress and fatigue analysis (16 papers). Kim Branner collaborates with scholars based in Denmark, United Kingdom and United States. Kim Branner's co-authors include Malcolm McGugan, Bent F. Sørensen, Leon Mishnaevsky, Helga Nørgaard Petersen, Justine Beauson, Peter Berring, Philipp Ulrich Haselbach, Xiao Chen, Taeseong Kim and Anders Melchior Hansen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable Energy and Composites Part A Applied Science and Manufacturing.

In The Last Decade

Kim Branner

88 papers receiving 1.7k citations

Hit Papers

Materials for Wind Turbine Blades: An Overview 2017 2026 2020 2023 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kim Branner Denmark 20 779 699 574 460 228 93 1.8k
Qingguo Fei China 22 624 0.8× 889 1.3× 867 1.5× 109 0.2× 259 1.1× 149 1.8k
Malcolm McGugan Denmark 14 431 0.6× 401 0.6× 439 0.8× 217 0.5× 141 0.6× 37 1.1k
D. Todd Griffith United States 20 249 0.3× 471 0.7× 308 0.5× 896 1.9× 337 1.5× 131 1.8k
John B. Kosmatka United States 23 1.1k 1.5× 1.1k 1.6× 350 0.6× 241 0.5× 391 1.7× 119 1.7k
Hermes Carvalho Brazil 23 324 0.4× 771 1.1× 600 1.0× 289 0.6× 88 0.4× 93 1.4k
De Xie China 26 1.8k 2.3× 647 0.9× 1.0k 1.8× 98 0.2× 337 1.5× 89 2.6k
Farhan Gandhi United States 26 465 0.6× 1.1k 1.6× 729 1.3× 1.1k 2.4× 430 1.9× 203 2.5k
Li Chen China 34 652 0.8× 3.0k 4.3× 376 0.7× 772 1.7× 83 0.4× 226 4.1k
Dipak Kumar Maiti India 25 1.5k 1.9× 1.5k 2.1× 403 0.7× 360 0.8× 342 1.5× 119 2.1k

Countries citing papers authored by Kim Branner

Since Specialization
Citations

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

Fields of papers citing papers by Kim Branner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim Branner

This figure shows the co-authorship network connecting the top 25 collaborators of Kim Branner. A scholar is included among the top collaborators of Kim Branner 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 Kim Branner. Kim Branner 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
2.
McGugan, Malcolm, et al.. (2024). Artificial intelligence-based blade identification in operational wind turbines through similarity analysis aided drone inspection. Engineering Applications of Artificial Intelligence. 137. 109234–109234. 4 indexed citations
3.
Benzon, Hans‐Henrik von, et al.. (2024). Acoustic emission data analytics on delamination growth in a wind turbine blade under full-scale cyclic testing. Measurement. 242. 115822–115822. 7 indexed citations
4.
Benzon, Hans‐Henrik von, Malcolm McGugan, Xiao Chen, et al.. (2024). Analysis of damage localization based on acoustic emission data from test of wind turbine blades. Measurement. 231. 114661–114661. 17 indexed citations
5.
Branner, Kim, et al.. (2023). How to design and execute multiaxial fatigue tests for wind turbine blades without sensitive design data?. Engineering Structures. 301. 117297–117297. 2 indexed citations
7.
Mikkelsen, Lars Pilgaard, Xiao Chen, Johannes G. Bode, et al.. (2022). Methodology to predict stiffness knock-down in laminates for wind turbine blades with artificial wrinkles. Wind energy science. 7(6). 2513–2525. 6 indexed citations
8.
Ehlers, Sören, Nagi Abdussamie, Kim Branner, et al.. (2022). Committee V.2: Experimental Methods. CINECA IRIS Institutial Research Information System (University of Genoa). 1 indexed citations
9.
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
10.
Branner, Kim, M. Eder, Hilmar Kjartansson Danielsen, Xiao Chen, & Malcolm McGugan. (2021). Towards more smart, efficient and reliable wind-turbine structures. DTU Data. 115–124. 3 indexed citations
11.
Branner, Kim, et al.. (2019). EFFECT OF MATRIX CRACKS ON THE STIFFNESS DEGRADATION OF LAMINATED COMPOSITE BEAMS. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 1 indexed citations
12.
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
13.
Haselbach, Philipp Ulrich & Kim Branner. (2015). EFFECT OF TRAILING EDGE DAMAGE ON FULL-SCALE WIND TURBINE BLADE FAILURE. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 8 indexed citations
14.
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
15.
Toft, Henrik Stensgaard, Kim Branner, Leon Mishnaevsky, & John Dalsgaard Sørensen. (2012). Uncertainty modelling and code calibration for composite materials. Journal of Composite Materials. 47(14). 1729–1747. 26 indexed citations
16.
Hattel, Jesper Henri, et al.. (2011). A 1D COUPLED CURING AND VISCO-MECHANICAL VOID GROWTH MODEL OF THICK THERMOSETTING COMPOSITE LAMINATES. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 2 indexed citations
17.
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
18.
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
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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