Martin Müller

3.1k citations
82 papers · 1.5k indexed · h-index 19
Topics
Artificial Intelligence in Games (34 papers)AI-based Problem Solving and Planning (22 papers)Digital Games and Media (19 papers)

In The Last Decade

Martin Müller

77 papers receiving 1.4k citations

Peers

Martin Müller
Comparison fields: 5 of 136
  • Artificial Intelligence 980
  • Computer Vision and Pattern Recognition 360
  • Sociology and Political Science 252
  • Economics and Econometrics 240
  • Molecular Biology 215
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Citations per field
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Citations per year

Countries citing papers authored by Martin Müller

Since Specialization
Citations

This map shows the geographic impact of Martin Müller'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 Martin Müller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Müller more than expected).

Fields of papers citing papers by Martin Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin Müller. 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 Martin Müller. The network helps show where Martin Müller may publish in the future.

Co-authorship network of co-authors of Martin Müller

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Müller. A scholar is included among the top collaborators of Martin Müller based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martin Müller. Martin Müller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2
Maximum Entropy Monte-Carlo Planning
4
3
MoHex 2.0: A Pattern-Based MCTS Hex Player
4
4
Towards a second generation random walk planner: an experimental exploration
4
5
RuleTheWeb!: Rule-based Adaptive User Experience.
3
6
Monte-Carlo exploration for deterministic planning
49
7 18
8
Reinforcement learning of local shape in the game of go
64
9
Search versus knowledge for solving life and death problems in Go
13
10
Learning partial-order macros from solutions
14
11
Dynamic Decomposition Search: A Divide and Conquer Approach and its Application to the One-Eye Problem in Go.
3
12
Using component abstraction for automatic generation of macro-actions
12
13
Temperature discovery search
4
14
Game-SAT: A Preliminary Report.
0
15
A general solution to the graph history interaction problem
20
16 5
17
Using Abstraction for Planning in Sokoban
3
18
Learning Scrutable User Models: Inducing Conceptual Descriptions
2
19
Lernen, Wissensentdeckung und Adaptivität - LWA'99.
1
20
Decomposition search: a combinatorial games approach to game tree search, with applications to solving go endgames
19

About Martin Müller

Martin Müller is a scholar working on Artificial Intelligence, Computer Networks and Communications and Structural Biology, having authored 82 papers that have together received 1.5k indexed citations. Recurring topics across this work include Artificial Intelligence in Games (34 papers), AI-based Problem Solving and Planning (22 papers) and Digital Games and Media (19 papers). The work is most often cited by research in Artificial Intelligence (980 citations), Structural Biology (40 citations) and Computer Vision and Pattern Recognition (360 citations). Martin Müller has collaborated with scholars based in Canada, Germany and United States. Frequent co-authors include Jonathan Schaeffer, Adi Botea, David Silver, Richard S. Sutton, Akihiro Kishimoto, Hootan Nakhost, Oliver Pänke, Siegfried Engelbrecht, Wolfgang Junge and Yngvi Björnsson. Their work appears in journals such as Science, Journal of Biological Chemistry and FEBS Letters.

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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