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Martin Riegler

Observed names: M. Riegler, Riegler, Martin
ORCID: 0000-0002-6186-0288
Observed ORCID: 0000-0002-6186-0288
OpenAlex ID: A5064101811
Simultaneous change of wood mass and dimension caused by moisture dynamics
2019 · Martin Nopens, Martin Riegler, et al. · Scientific Reports · 42
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Simulation of a real-time process adaptation in the manufacture of high-density fibreboards using multivariate regression analysis and feedforward control
2013 · Martin Riegler, Bernhard Spangl, et al. · Wood Science and Technology · 24
Effects of spatial augmented reality assistance on the efficiency of prefabricating timber frame walls
2022 · Birger Bartuska, Alfred Teischinger, et al. · Wood Material Science and Engineering · 20
Urea-formaldehyde microspheres as a potential additive to wood adhesive
2018 · Stefan Pinkl, Hendrikus W. G. van Herwijnen, et al. · Journal of Wood Science · 20
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Detection of UF resin on wood particles and in particleboards: potential of selected methods for practice-oriented offline detection
2012 · Martin Riegler, Wolfgang Gindl-Altmutter, et al. · European Journal of Wood and Wood Products · 15
Within-ring movement of free water in dehydrating Norway spruce sapwood visualized by neutron radiography
2012 · Sabine Rosner, Martin Riegler, et al. · Holzforschung · 15
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Specific Dimensional Change Behavior of Laminated Beech Veneer Lumber (BauBuche) in Terms of Moisture Absorption and Desorption
2020 · Jan T. Benthien, Martin Riegler, et al. · Fibers · 11
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Accelerated Singular Spectrum Analysis and Machine Learning to investigate wood machining acoustics
2024 · Mehieddine Derbas, Stephan Frömel-Frybort, et al. · Mechanical Systems and Signal Processing · 10
Profitability gain expectations for computed tomography of sawn logs
2019 · Martin Pernkopf, Martin Riegler, et al. · European Journal of Wood and Wood Products · 10
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Digitalization of small and medium sized sawmills in Austria: a survey about business processes
2022 · L. Ranacher, R. Stocker, et al. · European Journal of Wood and Wood Products · 9
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Multisensor data fusion and machine learning to classify wood products and predict workpiece characteristics during milling
2023 · Mehieddine Derbas, André Jaquemod, et al. · CIRP journal of manufacturing science and technology · 8
Effects of fibrillar cellulosic additives on particleboard production and properties
2020 · Stefan Pinkl, Stefan Veigel, et al. · Wood Material Science and Engineering · 7
Supervised classification of wood species during milling based on extracted cut events from ultrasonic air-borne acoustic signals
2023 · Mehieddine Derbas, Stephan Frömel-Frybort, et al. · Wood Material Science and Engineering · 6
Investigation of important influencing factors on the tensile shear strength of two component polyurethane with distinct foaming behaviour
2018 · Peter Bliem, Hendrikus W.G. van Herwijnen, et al. · International Journal of Adhesion and Adhesives · 6
Non-invasive method to measure bulk electrical resistivity of spruce wood – influence of moisture content and anatomical direction
2024 · Sarah Suarez, Matts Sandhacker, et al. · Wood Material Science and Engineering · 5
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A Machine Learning Approach to Predict Properties of Wood Products during Milling
2024 · Mehieddine Derbas, André Jaquemod, et al. · Forest Products Journal · 5
Modeling and simulation of moving wood chips and resin droplets within a resinating mixer using lattice gas cellular automata
2018 · Carina Rößler, Martin Riegler, et al. · IFAC-PapersOnLine · 5
Real-time dynamic simulation of continuous bulk material flow to improve the statistical modelling of final product strength properties
2015 · Martin Riegler, Nicolas André, et al. · International Journal of Production Research · 5
Simulating the Gluing of Wood Particles by Lattice Gas Cellular Automata and Random Walk
2020 · Carina Rößler, Felix Breitenecker, et al. · Mathematics · 4
Analyzing Process Related, In-Plane Mechanical Variation of High Density Fiber Boards (HDF) Across the Feed Direction
2013 · Jörn Rathke, Martin Riegler, et al. · BioResources · 3
Process analysis using multivariate regression models exemplified by WPC processing with a single-screw extruder
2016 · S. Ritter, M. Poszvek, et al. · International Wood Products Journal · 2
Functionalisation of melamine-urea-formaldehyde adhesive wood bondlines with carbon fillers: structures and properties
2025 · Sarah Suarez, Johannes Konnerth, et al. · The Journal of Adhesion · 1
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Effects of temporary water submersion on oriented strand board (OSB)
2025 · Alexandro Saliasi, Mehieddine Derbas, et al. · Wood Material Science and Engineering · 1
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Smart assembly of prefabricated building elements with augmented reality and sensor-based real-time quality control
2025 · Birger Bartuska, Alfred Teischinger, et al. · Wood Material Science and Engineering · 1
Predicting wood moisture classes by sound frequency spectra and Explainable Machine Learning during milling
2024 · Mehieddine Derbas, Timothy Mark Young, et al. · Wood Material Science and Engineering · 1
Works count: 38
Citation count: 237
H-index: 9
I10-index: 9
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