Thomas Marcher 
- (2023): The rock mechanical relevance of anisotropy in tunnel design. In: Geomechanics and Tunnelling, v. 17, n. 1 (Dezember 2023).
- (2023): Shallow Tunnels, Subway constructions. In: Geomechanics and Tunnelling, v. 16, n. 6 (November 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. In: 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. In: Geomechanics and Tunnelling, v. 15, n. 5 (Oktober 2022).
- (2022): Potential applications of machine learning for BIM in tunnelling. In: Geomechanics and Tunnelling, v. 15, n. 2 (April 2022).
- (2022): Improving face decisions in tunnelling by machine learning‐based MWD analysis. In: Geomechanics and Tunnelling, v. 15, n. 2 (April 2022).
- (2021): Towards the integration of smart techniques for tunnel seismic applications. In: Geomechanics and Tunnelling, v. 14, n. 5 (Oktober 2021).
- (2021): Reinforcement learning based process optimization and strategy development in conventional tunneling. In: Automation in Construction, v. 127 (Juli 2021).
- (2021): Learning decision boundaries for cone penetration test classification. In: Computer-Aided Civil and Infrastructure Engineering, v. 36, n. 4 (Februar 2021).
- (2021): On the pointlessness of machine learning based time delayed prediction of TBM operational data. In: Automation in Construction, v. 121 (Januar 2021).
- (2019): Austrian Tunnel Competence Center – ATC 2. In: Geomechanics and Tunnelling, v. 12, n. 6 (Dezember 2019).
- (2020): MSAC: Towards data driven system behavior classification for TBM tunneling. In: Tunnelling and Underground Space Technology, v. 103 (September 2020).
- (2020): Machine Learning in tunnelling – Capabilities and challenges. In: Geomechanics and Tunnelling, v. 13, n. 2 (April 2020).
- (2019): Application of artificial neural networks for Underground construction – Chances and challenges – Insights from the BBT exploratory tunnel Ahrental Pfons. In: Geomechanics and Tunnelling, v. 12, n. 5 (Oktober 2019).
- (2015): Valhalla - Innovative pumped hydro storage facilities in Chile: Challenges from a rock mechanical point of view. In: 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. In: Geomechanics and Tunnelling, v. 7, n. 4 ( 2014).
- (2013): 3-dimensional numerical calculations for tunnels with high overburden / Dreidimensionale numerische Berechnungen für tiefliegende Tunnelbauvorhaben. In: Geomechanics and Tunnelling, v. 6, n. 4 ( 2013).
- (2002): Tunnel Heading Stability in Drained Ground. In: Felsbau, v. 20, n. 6 ( 2002).
- (2004): Comparison of Excavation Methods: A.DE.CO-RS versus NATM. In: Felsbau, v. 22, n. 4 ( 2004).
- (2002): On the Ground Response Curve. In: Felsbau, v. 20, n. 6 ( 2002).
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