World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
5612
World Ranking
11253
National Ranking
564

Overview

Stefan Feuerriegel is affiliated with Ludwig Maximilian University of Munich in Germany and specializes in computer science with a strong focus on artificial intelligence and its applications. Their research spans multiple subfields, including sociology and political science, statistics and probability, economics and econometrics, and safety research.

The scientist's work addresses a range of topics, notably misinformation and its impacts, advanced causal inference techniques, social media and politics, ethics and social impacts of AI, machine learning in healthcare, health systems including economic evaluations and quality of life, and statistical methods in clinical trials.

Their recent published papers include:

  • Generative AI (2023), published in Business & Information Systems Engineering
  • Negativity drives online news consumption (2023), published in Nature Human Behaviour
  • Mitigating bias in machine learning for medicine (2021), published in Communications Medicine
  • Using Explainable Artificial Intelligence to Improve Process Quality: Evidence from Semiconductor Manufacturing (2021), published in Management Science
  • Addressing climate change with behavioral science: A global intervention tournament in 63 countries (2024), published in Science Advances

Frequent coauthors of Stefan Feuerriegel include Dennis Frauen, Nicolas Pröllochs, Valentyn Melnychuk, Dominik Bär, and Nicolas Banholzer. Collaboration with these researchers reflects a broad interdisciplinary engagement within the research community.

Their publications have appeared predominantly in venues such as arXiv (Cornell University), SSRN Electronic Journal, Proceedings of the ACM on Human-Computer Interaction, bioRxiv (Cold Spring Harbor Laboratory), and Diabetes Obesity and Metabolism. Stefan Feuerriegel's record shows a particularly strong presence in preprint and interdisciplinary journals.

Best Publications

  • Emergency response in natural disaster management: Allocation and scheduling of rescue units

    Felix Wex;Guido Schryen;Stefan Feuerriegel;Dirk Neumann

  • Deep learning for affective computing: Text-based emotion recognition in decision support

    Bernhard Kratzwald;Suzana Ilić;Mathias Kraus;Stefan Feuerriegel

  • Decision support from financial disclosures with deep neural networks and transfer learning

    Mathias Kraus;Stefan Feuerriegel

  • Deep learning in business analytics and operations research: Models, applications and managerial implications

    Mathias Kraus;Stefan Feuerriegel;Asil Oztekin

  • Mitigating bias in machine learning for medicine.

    Kerstin N Vokinger;Kerstin N Vokinger;Stefan Feuerriegel;Stefan Feuerriegel;Aaron S Kesselheim

  • Fair AI Challenges and Opportunities

    Stefan Feuerriegel;Mateusz Dolata;Gerhard Schwabe

  • Putting Big Data analytics to work: Feature selection for forecasting electricity prices using the LASSO and random forests

    Nicole Ludwig;Stefan Feuerriegel;Dirk Neumann

  • Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences

    Mathias Kraus;Stefan Feuerriegel

  • A sociotechnical view of algorithmic fairness

    Mateusz Dolata;Stefan Feuerriegel;Stefan Feuerriegel;Gerhard Schwabe

  • News-based trading strategies

    Stefan Feuerriegel;Helmut Prendinger

  • News-based trading strategies

    Stefan Feuerriegel;Helmut Prendinger

  • Business analytics for strategic management: Identifying and assessing corporate challenges via topic modeling

    Nicolas Pröllochs;Stefan Feuerriegel

  • Continual learning in medical devices: FDA's action plan and beyond.

    Kerstin N Vokinger;Kerstin N Vokinger;Stefan Feuerriegel;Aaron S Kesselheim

  • Emotions explain differences in the diffusion of true vs. false social media rumors.

    Nicolas Pröllochs;Dominik Bär;Stefan Feuerriegel;Stefan Feuerriegel

  • Public decision support for low population density areas: An imbalance-aware hyper-ensemble for spatio-temporal crime prediction

    Cristina Kadar;Rudolf Maculan;Stefan Feuerriegel

  • Analysis of How Underlying Topics in Financial News Affect Stock Prices Using Latent Dirichlet Allocation

    Stefan Feuerriegel;Antal Ratku;Dirk Neumann

  • Analyzing patient trajectories with artificial intelligence

    Ahmed Allam;Stefan Feuerriegel;Michael Rebhan;Michael Krauthammer

  • Adaptive document retrieval for deep question answering

    Bernhard Kratzwald;Stefan Feuerriegel

  • Sentiment analysis based on rhetorical structure theory:Learning deep neural networks from discourse trees

    Mathias Kraus;Stefan Feuerriegel

  • Emotions in online rumor diffusion

    Nicolas Pröllochs;Dominik Bär;Stefan Feuerriegel;Stefan Feuerriegel

  • Generative AI

    Unknown

  • News-based forecasts of macroeconomic indicators: A semantic path model for interpretable predictions

    Stefan Feuerriegel;Julius Gordon

  • Negation scope detection in sentiment analysis

    Nicolas Pröllochs;Stefan Feuerriegel;Dirk Neumann

  • Value and granularity of ICT and smart meter data in demand response systems

    Stefan Feuerriegel;Philipp Bodenbenner;Dirk Neumann

  • Generating Domain-Specific Dictionaries using Bayesian Learning

    Nicolas Pröllochs;Stefan Feuerriegel;Dirk Neumann

Frequent Co-Authors

Dirk Neumann
Dirk Neumann University of Freiburg
Helmut Prendinger
Helmut Prendinger National Institute of Informatics
Elgar Fleisch
Elgar Fleisch ETH Zurich
Georg F. Bauer
Georg F. Bauer University of Zurich
Cecilia Mascolo
Cecilia Mascolo University of Cambridge
Christian Holz
Christian Holz ETH Zurich
Ce Zhang
Ce Zhang ETH Zurich
Wolfgang Marquardt
Wolfgang Marquardt RWTH Aachen University

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