Victor Wegner Maus
Dr.Member of the Young Academy since 2026
- Senior Scientist at the Vienna University of Economics and Business
Research Areas:
- Computer Sciences
- Data Science
- Artificial intelligence
- Geoinformatics
- Remote sensing
Profile:
Publications:
Selected Memberships:
- Association for Computing Machinery (ACM) Professional Membership
- ACM SIGSPATIAL Membership
- European Geosciences Union (EGU) Membership
- GLP Global Land Programme Membership
Selected Prizes:
- ISM Young Scientist Award by the International Society for Mine Surveying
- Researcher of the Month January 2022 awarded by WU Vienna University of Economics and Business
Selected Publications:
- Maus, V., & Werner, T. T. (2024). Impacts for half of the world’s mining areas are undocumented. Nature, 625(7993), 26–29.
- Maus V., Câmara G., Cartaxo R., Sanchez A., Ramos F. M. & de Queiroz G. R. (2016). A time-weighted dynamic time warping method for land-use and land-cover mapping. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(8), 3729–3739.
- Maus, V., Giljum, S., da Silva, D.M. et al. (2022). An update on global mining land use. Sci Data, 9, 433. https://doi.org/10.1038/s41597-022-01547-4
- Maus, V. (2026). A data-driven approach to mapping global commodity-specific mining land-use. Journal of Cleaner Production, 540, 147437.
- Wegner Maus, V., Giljum, S., Gutschlhofer, J., da Silva, D. M., Probst, M., Gass, S. L. B., Luckeneder, S., Lieber, M., & McCallum, I. (2020). A global-scale data set of mining areas. Scientific data, 7(1). https://doi.org/10.1038/s41597-020-00624-w