Mike Preuß

7.5k citations
157 papers · 3.9k · 1 hit paper · h-index 28

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

147 papers receiving 3.7k citations

Mike Preuß's Hit Papers

Planning chemical syntheses with deep neural networks and symbolic AI 2018 · 1.3k citations
1.3k0+2+5Years since publication4008001.2k

Peers

Mike Preuß
Comparison fields: 5 of 168
  • Computational Theory and Mathematics 1.6k
  • Artificial Intelligence 2.1k
  • Health Informatics 24
  • Computer Vision and Pattern Recognition 346
  • Developmental and Educational Psychology 194
Replace Xiaolong Wang with:
Xiaolong Wang China
Edward A. Feigenbaum United States
Carlo Ghezzi Italy
Burr Settles United States
J. J. Merelo Spain
Stephen Muggleton United Kingdom
Luc De Raedt Belgium
Keith C. C. Chan Hong Kong
Trevor Martin United Kingdom
Hua Wu China
Mike Preuß relative to Xiaolong Wang China Xiaolong Wang's profile →
Citations per field
00.5×6.7×
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 157 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 →
20181250
2 2011204
3 2005176
4 201098
5 201295
6 201787
7 201081
8 201077
9 201573
10 201070
11 201070
12 201369
13 201161
14 201356
15 201654
16 201554
17
Problem Definitions for Performance Assessment of Multi-objective Optimization Algorithms
200754
18 202052
19 201847
20 200739

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 157 papers that have together received 3.9k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (54 papers), Evolutionary Algorithms and Applications (49 papers), Advanced Multi-Objective Optimization Algorithms (49 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 (346 citations) and Developmental and Educational Psychology (194 citations). Mike Preuß has collaborated with scholars based in Germany, Netherlands and United Kingdom. Frequent co-authors include Marwin Segler, Mark P. Waller, Heike Trautmann, Thomas Bartz–Beielstein, Julian Togelius, Günter Rudolph, Olaf Mersmann, Simon Wessing, Bernd Bischl 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, Studies in Communication and Media and IEEE Computational Intelligence Magazine.

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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