Thomas Marcher 
- (2023): The rock mechanical relevance of anisotropy in tunnel design. Dans: Geomechanics and Tunnelling, v. 17, n. 1 (décembre 2023).
- (2023): Shallow Tunnels, Subway constructions. Dans: Geomechanics and Tunnelling, v. 16, n. 6 (novembre 2023).
- (2023): Discussion on the paper “Success and challenges in predicting TBM penetration rate using recurrent neural networks” by Feng Shan, Xuzhen He, Danial Jahed Armaghani, Pin Zhang, Daichao Sheng. Dans: Tunnelling and Underground Space Technology, v. 135 (mai 2023).
- (2022): Practical recommendations for machine learning in underground rock engineering – On algorithm development, data balancing, and input variable selection. Dans: Geomechanics and Tunnelling, v. 15, n. 5 (octobre 2022).
- (2022): Potential applications of machine learning for BIM in tunnelling. Dans: Geomechanics and Tunnelling, v. 15, n. 2 (avril 2022).
- (2022): Improving face decisions in tunnelling by machine learning‐based MWD analysis. Dans: Geomechanics and Tunnelling, v. 15, n. 2 (avril 2022).
- (2021): Towards the integration of smart techniques for tunnel seismic applications. Dans: Geomechanics and Tunnelling, v. 14, n. 5 (octobre 2021).
- (2021): Reinforcement learning based process optimization and strategy development in conventional tunneling. Dans: Automation in Construction, v. 127 (juillet 2021).
- (2021): Learning decision boundaries for cone penetration test classification. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 36, n. 4 (février 2021).
- (2021): On the pointlessness of machine learning based time delayed prediction of TBM operational data. Dans: Automation in Construction, v. 121 (janvier 2021).
- (2019): Austrian Tunnel Competence Center – ATC 2. Dans: Geomechanics and Tunnelling, v. 12, n. 6 (décembre 2019).
- (2020): MSAC: Towards data driven system behavior classification for TBM tunneling. Dans: Tunnelling and Underground Space Technology, v. 103 (septembre 2020).
- (2020): Machine Learning in tunnelling – Capabilities and challenges. Dans: Geomechanics and Tunnelling, v. 13, n. 2 (avril 2020).
- (2019): Application of artificial neural networks for Underground construction – Chances and challenges – Insights from the BBT exploratory tunnel Ahrental Pfons. Dans: Geomechanics and Tunnelling, v. 12, n. 5 (octobre 2019).
- (2015): Valhalla - Innovative pumped hydro storage facilities in Chile: Challenges from a rock mechanical point of view. Dans: Geomechanics and Tunnelling, v. 8, n. 5 ( 2015).
- (2014): Validation of a novel constitutive model for shotcrete using data from an executed tunnel / Validierung eines neuen Stoffgesetzes für Spritzbeton mittels Ergebnissen eines ausgeführten Tunnelprojekts. Dans: Geomechanics and Tunnelling, v. 7, n. 4 ( 2014).
- (2013): 3-dimensional numerical calculations for tunnels with high overburden / Dreidimensionale numerische Berechnungen für tiefliegende Tunnelbauvorhaben. Dans: Geomechanics and Tunnelling, v. 6, n. 4 ( 2013).
- (2002): Tunnel Heading Stability in Drained Ground. Dans: Felsbau, v. 20, n. 6 ( 2002).
- (2004): Comparison of Excavation Methods: A.DE.CO-RS versus NATM. Dans: Felsbau, v. 22, n. 4 ( 2004).
- (2002): On the Ground Response Curve. Dans: Felsbau, v. 20, n. 6 ( 2002).
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