Gunther Steenackers

1.3k total citations
80 papers, 994 citations indexed

About

Gunther Steenackers is a scholar working on Mechanics of Materials, Civil and Structural Engineering and Biomedical Engineering. According to data from OpenAlex, Gunther Steenackers has authored 80 papers receiving a total of 994 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Mechanics of Materials, 20 papers in Civil and Structural Engineering and 19 papers in Biomedical Engineering. Recurrent topics in Gunther Steenackers's work include Thermography and Photoacoustic Techniques (22 papers), Structural Health Monitoring Techniques (16 papers) and Calibration and Measurement Techniques (9 papers). Gunther Steenackers is often cited by papers focused on Thermography and Photoacoustic Techniques (22 papers), Structural Health Monitoring Techniques (16 papers) and Calibration and Measurement Techniques (9 papers). Gunther Steenackers collaborates with scholars based in Belgium, Canada and United Kingdom. Gunther Steenackers's co-authors include Patrick Guillaume, Emmanuel Audenaert, Jeroen Peeters, Dirk Vandermeulen, Steve Vanlanduit, Christof Devriendt, Joris Dirckx, Christophe Pattyn, Clemente Ibarra‐Castanedo and Стефано Сфарра and has published in prestigious journals such as Scientific Reports, Construction and Building Materials and Sensors.

In The Last Decade

Gunther Steenackers

74 papers receiving 972 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gunther Steenackers Belgium 19 300 284 217 176 138 80 994
In Gwun Jang South Korea 21 492 1.6× 233 0.8× 199 0.9× 210 1.2× 238 1.7× 75 1.3k
Marco Evangelos Biancolini Italy 19 148 0.5× 485 1.7× 215 1.0× 72 0.4× 198 1.4× 113 1.3k
Didier Lemosse France 11 352 1.2× 319 1.1× 133 0.6× 35 0.2× 254 1.8× 24 837
M. Cerrolaza Venezuela 17 212 0.7× 332 1.2× 178 0.8× 86 0.5× 79 0.6× 75 826
Jérôme Molimard France 19 398 1.3× 651 2.3× 284 1.3× 130 0.7× 569 4.1× 80 1.7k
Jia Lu United States 25 82 0.3× 369 1.3× 873 4.0× 260 1.5× 273 2.0× 82 1.7k
Udo Nackenhorst Germany 19 472 1.6× 336 1.2× 213 1.0× 103 0.6× 358 2.6× 119 1.4k
Kuang-Hua Chang United States 19 392 1.3× 347 1.2× 125 0.6× 58 0.3× 184 1.3× 59 1.2k
Clifford C. Chou United States 19 560 1.9× 103 0.4× 161 0.7× 85 0.5× 408 3.0× 156 1.5k
Carlos Alberto Conceição António Portugal 26 490 1.6× 655 2.3× 518 2.4× 157 0.9× 1.1k 8.0× 98 2.2k

Countries citing papers authored by Gunther Steenackers

Since Specialization
Citations

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

Fields of papers citing papers by Gunther Steenackers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gunther Steenackers

This figure shows the co-authorship network connecting the top 25 collaborators of Gunther Steenackers. A scholar is included among the top collaborators of Gunther Steenackers 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 Gunther Steenackers. Gunther Steenackers 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.
Zhu, Pengfei, Hai Zhang, Стефано Сфарра, et al.. (2025). A comprehensive evaluation of the low-velocity impact behaviour of intraply hybrid flax/basalt composites using infrared thermography and terahertz time-domain spectroscopy techniques. NDT & E International. 154. 103361–103361. 4 indexed citations
2.
Gabrieli, Francesca, Frederik Vanmeert, John Delaney, et al.. (2024). High-resolution compound-specific mapping in works of art via data fusion of MA-XRPD with hyperspectral data (part 1: Method evaluation). Talanta. 280. 126731–126731. 1 indexed citations
3.
Peiffer, Matthias, et al.. (2024). The relation between meniscal dynamics and tibiofemoral kinematics. Scientific Reports. 14(1). 8829–8829. 3 indexed citations
4.
Bonmarin, Mathias, et al.. (2024). HypIRskin: Thermography-Guided Device for Diagnosis and Characterization of Skin Cancer Lesions. Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences). 1–6.
5.
Thiessen, Filip, et al.. (2023). Finite element skin models as additional data for dynamic infrared thermography on skin lesions. Quantitative InfraRed Thermography Journal. 22(1). 1–20. 6 indexed citations
6.
Koirala, Bikram, Behnood Rasti, Sandra Lorenz, et al.. (2023). A Multisensor Hyperspectral Benchmark Dataset for Unmixing of Intimate Mixtures. IEEE Sensors Journal. 24(4). 4694–4710. 6 indexed citations
7.
8.
Sels, Seppe, et al.. (2023). Enhanced Checkerboard Detection Using Gaussian Processes. Mathematics. 11(22). 4568–4568.
9.
Sels, Seppe, et al.. (2022). Accuracy Assessment of Joint Angles Estimated from 2D and 3D Camera Measurements. Sensors. 22(5). 1729–1729. 13 indexed citations
10.
Janssens, Koen, et al.. (2022). Quantitative detection of corrosion minerals in carbon steel using shortwave infrared hyperspectral imaging. RSC Advances. 12(50). 32775–32783. 8 indexed citations
11.
Maldague, Xavier, et al.. (2022). Dynamic Line Scan Thermography Parameter Design via Gaussian Process Emulation. Algorithms. 15(4). 102–102. 4 indexed citations
12.
Maldague, Xavier, et al.. (2021). Dynamic Line Scan Thermography Optimisation Using Response Surfaces Implemented on PVC Flat Bottom Hole Plates. Applied Sciences. 11(4). 1538–1538. 7 indexed citations
13.
Thiessen, Filip, Thierry Tondu, Lawek Berzenji, et al.. (2020). Dynamic Infrared Thermography (DIRT) in DIEP flap breast reconstruction: A clinical study with a standardized measurement setup. European Journal of Obstetrics & Gynecology and Reproductive Biology. 252. 166–173. 21 indexed citations
14.
Thiessen, Filip, Thierry Tondu, Véronique Verhoeven, et al.. (2019). Dynamic InfraRed Thermography (DIRT) in DIEP-flap breast reconstruction: A review of the literature. European Journal of Obstetrics & Gynecology and Reproductive Biology. 242. 47–55. 29 indexed citations
15.
Peeters, Jeroen, et al.. (2019). Optimized dynamic line scanning thermography for aircraft structures. Quantitative InfraRed Thermography Journal. 16(3-4). 260–275. 5 indexed citations
16.
Steenackers, Gunther, Jeroen Peeters, Paul M. Parizel, & Wiebren Tjalma. (2018). Application of passive infrared thermography for DIEP flap breast reconstruction. Anet (University of Antwerp). 4 indexed citations
17.
Steenackers, Gunther, Jeroen Peeters, & Koen Janssens. (2018). Sublayer composition evaluation of Artwork using active thermography. Anet (University of Antwerp). 3 indexed citations
18.
Steenackers, Gunther, et al.. (2016). From thermal inspection to updating a numerical model of a race bicycle. 1 indexed citations
19.
20.
Peeters, Jeroen, et al.. (2014). Finite element optimization by pulsed thermography with adaptive response surfaces. Anet (University of Antwerp). 7 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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