2026 Holger H. Hoos: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	82	935	904	33	33	330	38740

Research.com Recognitions

2025 - Research.com Computer Science in Netherlands Leader Award
2022 - Research.com Computer Science in Netherlands Leader Award
2020 - ACM Fellow For contributions to automated algorithm selection and configuration for optimization and machine learning
2015 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to the field of automated reasoning and the development of widely used methods for algorithm selection and configuration

Overview

Holger H. Hoos is affiliated with RWTH Aachen University in Germany and has a research focus within Computer Science, with a specialized concentration in Artificial Intelligence. Their work encompasses subfields including Management Science and Operations Research, Computer Networks and Communications, Computational Theory and Mathematics, and Information Systems.

Their research topics cover several areas such as Machine Learning and Data Classification, Machine Learning and Algorithms, Adversarial Robustness in Machine Learning, Data Stream Mining Techniques, Metaheuristic Optimization Algorithms Research, Big Data and Business Intelligence, and Constraint Satisfaction and Optimization.

Hoos has contributed to numerous recent publications, with notable papers including:

"A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence" (2020, Computer)
"Automated machine learning: past, present and future" (2024, Artificial Intelligence Review)
"Predicting the 9-year course of mood and anxiety disorders with automated machine learning: A comparison between auto-sklearn, naïve Bayes classifier, and traditional logistic regression" (2021, Psychiatry Research)
"Artificial intelligence to advance Earth observation:: A review of models, recent trends, and pathways forward" (2023, arXiv (Cornell University))
"Automating data science" (2022, Communications of the ACM)

The venues in which Hoos frequently publishes include:

arXiv (Cornell University) with 15 publications
Zenodo (CERN European Organization for Nuclear Research) with 11 publications
Proceedings of the AAAI Conference on Artificial Intelligence with 4 publications
Journal of Artificial Intelligence Research with 3 publications
International Transactions in Operational Research with 3 publications

Coauthors who have collaborated frequently with Hoos include:

Koen van der Blom (14 coauthored papers)
Alex Serban (13 coauthored papers)
Joost Visser (13 coauthored papers)
Jan N. van Rijn (11 coauthored papers)
Mitra Baratchi (8 coauthored papers)

Hoos is recognized within the scientific community through awards such as:

ACM Fellow awarded in 2020 for contributions to automated algorithm selection and configuration for optimization and machine learning
Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) awarded in 2015 for significant contributions to automated reasoning and the development of widely used methods for algorithm selection and configuration

Best Publications

MAX-MIN Ant system

Thomas Stützle;Holger H. Hoos

4524
Citations
Sequential model-based optimization for general algorithm configuration

Frank Hutter;Holger H. Hoos;Kevin Leyton-Brown

2834
Citations
A survey on semi-supervised learning

Jesper E. van Engelen;Holger H. Hoos;Holger H. Hoos

2412
Citations
Stochastic Local Search: Foundations & Applications

Holger Hoos;Thomas Sttzle

2234
Citations
Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms

Chris Thornton;Frank Hutter;Holger H. Hoos;Kevin Leyton-Brown

1770
Citations
CP-nets: a tool for representing and reasoning with conditional ceteris paribus preference statements

Craig Boutilier;Ronen I. Brafman;Carmel Domshlak;Holger H. Hoos

1234
Citations
MAX-MIN Ant System and local search for the traveling salesman problem

T. Stutzle;H. Hoos

1222
Citations
SATzilla: portfolio-based algorithm selection for SAT

Lin Xu;Frank Hutter;Holger H. Hoos;Kevin Leyton-Brown

1056
Citations
ParamILS: An Automatic Algorithm Configuration Framework

Frank Hutter;Thomas Stuetzle;Kevin Leyton-Brown;Holger H. Hoos

969
Citations
Improvements on the Ant-System: Introducing the MAX-MIN Ant System

Thomas Stützle;Holger H. Hoos

828
Citations
Auto-WEKA 2.0: automatic model selection and hyperparameter optimization in WEKA

Lars Kotthoff;Chris Thornton;Holger H. Hoos;Frank Hutter

796
Citations
Critical assessment of automated flow cytometry data analysis techniques

Nima Aghaeepour;Greg Finak

705
Citations
Algorithm runtime prediction: methods & evaluation

Frank Hutter;Lin Xu;Holger H. Hoos;Kevin Leyton-Brown

552
Citations
Performance prediction and automated tuning of randomized and parametric algorithms

Frank Hutter;Youssef Hamadi;Holger H. Hoos;Kevin Leyton-Brown

483
Citations
SATLIB: An Online Resource for Research on SAT

Holger H. Hoos;Thomas Stützle;I. Gent;H. Van Maaren

464
Citations
Automated Algorithm Selection: Survey and Perspectives

Pascal Kerschke;Holger H. Hoos;Frank Neumann;Heike Trautmann

415
Citations
An Efficient Approach for Assessing Hyperparameter Importance

Frank Hutter;Holger Hoos;Kevin Leyton-Brown

388
Citations
An ant colony optimisation algorithm for the 2D and 3D hydrophobic polar protein folding problem

Alena Shmygelska;Holger H Hoos

387
Citations
RNA STRAND: The RNA Secondary Structure and Statistical Analysis Database

Mirela Andronescu;Vera Bereg;Holger H Hoos;Anne Condon

365
Citations
Reasoning with conditional ceteris paribus preference statements

Craig Boutilier;Ronen I. Brafman;Holger H. Hoos;David Poole

364
Citations

Frequent Co-Authors

Kevin Leyton-Brown University of British Columbia

Frank Hutter University of Freiburg

Thomas Stützle Université Libre de Bruxelles

Torsten Schaub University of Potsdam

Anne Condon University of British Columbia

Craig Boutilier Google (United States)

Alan J. Hu University of British Columbia

Mauro Birattari Université Libre de Bruxelles

Ronen I. Brafman Ben-Gurion University of the Negev

David Poole University of British Columbia

External Links

Wikipedia of Holger H. Hoos Personal website of Holger H. Hoos Google Scholar page

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