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Prof. Herbert Jodlbauer : Leading Researcher in Graph Theory

Principal Scientist at Royal Prince Alfred Hospital, Australia

Bachmann, N., & Jodlbauer, H. (2023). Iterative business model innovation: A conceptual process model and tools
for incumbents. Journal of Business Research, 168, 114177.

Jodlbauer, H., Brunner, M., Bachmann, N., Tripathi, S., & Thürer, M. (2023). Supply Chain Management: A
Structured Narrative Review of Current Challenges and Recommendations for Action. Logistics, 7(4), 70.

Jodlbauer, H., & Tripathi, S. (2023). Analytical comparison of cross impact steady state, DEMATEL, and page rank
for analyzing complex systems. Expert Systems with Applications, 225, 120154.

Jodlbauer, H., & Tripathi, S. (2023). Due date quoting and rescheduling in a fixed production sequence. International
Journal of Production Research, 1-15.

Tripathi, S., Mittermayr, C., & Jodlbauer, H. (2023). Exploring the time-lagged causality of process variables from
injection molding machines. Procedia Computer Science, 217, 1153-1167.

Brunner, M., Jodlbauer, H., Bachmann, N., & Tripathi, S. (2023). Implementing Virtuality in Production-a Design
Science Approach. Procedia Computer Science, 217, 988-997.

Tripathi, S., Riegler, A., Anthes, C., & Jodlbauer, H. (2022, October). Vsimgen: A Proposal for an Interactive
Visualization Tool for Simulation of Production Planning and Control Strategies. In Proceedings of the Future
Technologies Conference (FTC) 2022, Volume 1 (pp. 731-752). Cham: Springer International Publishing.

Jodlbauer, H., Tripathi S., Brunner, M., & Bachmann, N. (2022). Stability of Cross-Impact Matrices. Technological
Forecasting & Social Change, 182, 121822.

Bachmann, N., Tripathi, S., Brunner, M., & Jodlbauer, H. (2022). The Contribution of Data-Driven Technologies in
Achieving the Sustainable Development Goals. Sustainability, 14(5), 2497.

Fröhler, B., Anthes, C., Pointecker, F., Friedl, J., Schwajda, D., Riegler, A., Tripathi, S., Holzmann, C., Brunner, M.,
Jodlbauer, H., Jetter, H.-C., Heinzl, C. (2022). A Survey on Cross‐Virtuality Analytics. In Computer Graphics
Forum (Vol. 41, No. 1, pp. 465-494).

Kieroth, A., Brunner, M., Bachmann, N., Jodlbauer, H., & Kurz, W. (2022). Investigation on the acceptance of an
Industry 4.0 maturity model and improvement possibilities. Procedia Computer Science, 200, 428-437.
Wolfartsberger, J., Riedl, R., Jodlbauer, H., Haslinger, N., Hlibchuk, A., Kirisits, A., & Schuh, S. (2022). Virtual Reality
als Trainingsmethode: Eine Laborstudie aus dem Industriebereich. HMD Praxis der Wirtschaftsinformatik, 59(1), 295-308.

Tripathi, S., Jodlbauer, H., Mittermayr, C., & Emmert-Streib, F. (2022). Identifying key interactions between process
variables of different material categories using mutual information-based network inference method. Procedia
Computer Science, 200, 1550-1564.

Tripathi, S., Strasser, S., & Jodlbauer, H. (2021). A Network based Approach for Reducing Variant Diversity in
Production Planning and Control. In DATA (pp. 241-251).

Tripathi, S., Muhr, D., Brunner, M., Jodlbauer, H., Dehmer, M., & Emmert-Streib, F. (2021). Ensuring the robustness
and reliability of data-driven knowledge discovery models in production and manufacturing. Frontiers in Artificial
Intelligence, 4, 22.

Tripathi, S., Mittermayr, C., Muhr, D., & Jodlbauer, H. (2021). Large scale predictability analysis of process variables
from injection molding machines. Procedia Computer Science, 180, 545-560.

Muhr, D., Tripathi, S., & Jodlbauer, H. (2021). An adaptive machine learning methodology to determine
manufacturing process parameters for each part. Procedia Computer Science, 180, 764-771.

Jodlbauer, H., & Dehmer, M. (2020). An extension of the reorder point method by using advance demand spike
information. Computers & Operations Research, 124, 105055



Herbert Jodlbauer | Graph Theory

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