Mike Preuß
Impact in
- Computational Theory and Mathematics top 0.2%
- Advanced Multi-Objective Optimization Algorithms
- Computational Drug Discovery Methods
- Artificial Intelligence top 0.5%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Artificial Intelligence in Games
- Reinforcement Learning in Robotics
Papers in
-
- Metaheuristic Optimization Algorithms Research 53
- Evolutionary Algorithms and Applications 48
- Artificial Intelligence in Games 41
- Reinforcement Learning in Robotics 16
-
- Advanced Multi-Objective Optimization Algorithms 49
- Co-authors
- Mark P. WallerMarwin SeglerHeike TrautmannThomas Bartz–BeielsteinGünter RudolphJulian TogeliusOlaf MersmannBernd Bischl
- Journals
- Evolutionary Computation (5 papers)IEEE Transactions on Computational Intelligence and AI in Games (3 papers)Genetic Programming and Evolvable Machines (2 papers)Big Data (1 paper)Computational Optimization and Applications (1 paper)
- Partner nations
- GermanyNetherlandsUnited Kingdom
In The Last Decade
Mike Preuß
145 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Computational Theory and Mathematics 1.6k
- Artificial Intelligence 2.1k
- Health Informatics 24
- Computer Vision and Pattern Recognition 336
- Materials Chemistry 716
Countries citing papers authored by Mike Preuß
This map shows the geographic impact of Mike Preuß's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mike Preuß with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mike Preuß more than expected).
Fields of papers citing papers by Mike Preuß
This network shows the impact of papers produced by Mike Preuß. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mike Preuß. The network helps show where Mike Preuß may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mike Preuß, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 16 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 1 | |
| 10 | 2022 | 2 | |
| 11 | Model-Based Deep Reinforcement Learning for High-Dimensional Problems, a Survey. | 2020 | 10 |
| 12 | Planning chemical syntheses with deep neural networks and symbolic AI Hit paper breakdown → | 2018 | 1211 |
| 13 | 2017 | 84 | |
| 14 | 2015 | 14 | |
| 15 | 2013 | 7 | |
| 16 | Species Separation by a Clustering Mean towards Multimodal Function Optimization | 2009 | 0 |
| 17 | 2008 | 15 | |
| 18 | Evolutionary Multi-class Support Vector Machines for Classification | 2006 | 3 |
| 19 | On the extinction of evolutionary algorithm subpopulations on multimodal landscapes | 2004 | 1 |
| 20 | On Obtaining Global Information in a Peer-to-Peer Fully Distributed Environment (Research Note) | 2002 | 3 |
About Mike Preuß
Mike Preuß is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Developmental and Educational Psychology, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 156 papers that have together received 3.7k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (53 papers), Advanced Multi-Objective Optimization Algorithms (49 papers), Evolutionary Algorithms and Applications (48 papers), Artificial Intelligence in Games (41 papers), Digital Games and Media (20 papers), Reinforcement Learning in Robotics (16 papers), Educational Games and Gamification (14 papers) and Video Analysis and Summarization (6 papers). The work is most often cited by research in Computational Theory and Mathematics (1.6k citations), Artificial Intelligence (2.1k citations), Health Informatics (24 citations), Computer Vision and Pattern Recognition (336 citations) and Materials Chemistry (716 citations). Mike Preuß has collaborated with scholars based in Germany, Netherlands and United Kingdom. Frequent co-authors include Mark P. Waller, Marwin Segler, Heike Trautmann, Thomas Bartz–Beielstein, Günter Rudolph, Julian Togelius, Olaf Mersmann, Bernd Bischl, Simon Wessing and Christian W. G. Lasarczyk. Their work appears in journals such as Evolutionary Computation, IEEE Transactions on Computational Intelligence and AI in Games, Genetic Programming and Evolvable Machines, Big Data and Computational Optimization and Applications.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.