Mike Preuß

7.3k citations
156 papers · 3.7k · 1 hit paper · h-index 27

Impact in

    • Advanced Multi-Objective Optimization Algorithms
    • Computational Drug Discovery Methods
    • Metaheuristic Optimization Algorithms Research
    • Evolutionary Algorithms and Applications
    • Artificial Intelligence in Games
    • Reinforcement Learning in Robotics

Papers in

Mike Preuß

145 papers receiving 3.5k citations

Mike Preuß's Hit Papers

Planning chemical syntheses with deep neural networks and symbolic AI 2018 · 1.2k citations
1.2k0+2+5Years since publication4008001.2k

Peers

Mike Preuß
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
Replace Xiaolong Wang with:
Xiaolong Wang China
Carlo Ghezzi Italy
J. J. Merelo Spain
Edward A. Feigenbaum United States
Stephen Muggleton United Kingdom
Trevor Martin United Kingdom
Hua Wu China
Geoffrey J. Gordon United States
Betty H. C. Cheng United States
Mark Reynolds Australia
Mike Preuß relative to Xiaolong Wang China Xiaolong Wang's profile →
Citations per field
00.5×5.4×
Xiaolong Wang · 1×
Citations per year

Countries citing papers authored by Mike Preuß

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Mike Preuß Line = papers co-authored together Mike Preuß links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 156 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Planning chemical syntheses with deep neural networks and symbolic AI
Hit paper breakdown →
20181211
2 2011203
3 2005175
4 201099
5 201295
6 201784
7 201081
8 201077
9 201573
10 201070
11 201069
12 201368
13 201356
14 201554
15
Problem Definitions for Performance Assessment of Multi-objective Optimization Algorithms
200754
16 201653
17 202051
18 201846
19 200738
20 201437

About Mike Preuß

Mike Preuß is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Sociology and Political Science, Computer Vision and Pattern Recognition and Developmental and Educational Psychology, 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.

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