RESEARCHER PROFILE

A. Geiges

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A

Stuttgart Center for Simulation Science

Optimal Experimental Design MethodsHydrology and Watershed Management StudiesGroundwater flow and contamination studiesReservoir Engineering and Simulation MethodsMeteorological Phenomena and Simulations

A. Geiges works in Optimal Experimental Design Methods, Hydrology and Watershed Management Studies, Groundwater flow and contamination studies, Reservoir Engineering and Simulation Methods, Meteorological Phenomena and Simulations. Recorded institutional associations include University of Stuttgart, Stuttgart Center for Simulation Science, University of Tübingen.

16Publications
143Citations
4H-index

Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.

Selected research works

Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.

  1. Bayesian assessment of the expected data impact on prediction confidence in optimal sampling design

    2011 · 78 citations

  2. Optimal Design of Multitype Groundwater Monitoring Networks Using Easily Accessible Tools

    2016 · 28 citations

  3. Interactive design of experiments: A priori global versus sequential optimization, revised under changing states of knowledge

    2015 · 19 citations

  4. Towards Optimizing Experiments for Maximum-confidence Model Selection between Different Soil-plant Models

    2013 · 18 citations

  5. Efficient concepts for optimal experimental design in nonlinear environmental systems

    2014 · 0 citations

  6. Comparing Linear and Nonlinear Methods for More Reliable Predictive Uncertainty Quantification and Optimal Design of Experiments

    2014 · 0 citations

  7. Optimal Design of site investigation: Entropy based Utility functions and efficient implementations

    2011 · 0 citations

  8. Optimizing monitoring design to increase predictive reliability of groundwater flow models at different scales

    2013 · 0 citations

  9. Evaluating experimental design for soil-plant model selection with Bayesian model averaging

    2013 · 0 citations

  10. Demonstration of risk based, goal driven framework for hydrological field campaigns and inverse modeling with case studies

    2013 · 0 citations

  11. Rational risk-based decision support for drinking water well managers by optimized monitoring designs

    2011 · 0 citations

  12. Evaluating experimental design for soil-plant model selection using a Bootstrap Filter and Bayesian model averaging

    2013 · 0 citations

  13. A flexible Bayesian assessment for the expected impact of data on prediction confidence for optimal sampling designs

    2010 · 0 citations

  14. Challenges for the Sequential Interaction Between Optimal Design of Field Campaigns and Model Calibration for Non-Linear Systems

    2013 · 0 citations

  15. A reverse analysis framework for the assessment of data worth in optimal design

    2012 · 0 citations

  16. Differences between fully Bayesian and pragmatic methods to assess predictive uncertainty and optimal monitoring designs

    2015 · 0 citations

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