Miquel Ramírez

1.4k citations
35 papers · 727 · h-index 13

Impact in

    • AI-based Problem Solving and Planning
    • Logic, Reasoning, and Knowledge
    • Reinforcement Learning in Robotics
    • Multi-Agent Systems and Negotiation
    • Machine Learning and Algorithms
    • Semantic Web and Ontologies
    • Artificial Intelligence in Games
  • Software top 10%

Papers in

Miquel Ramírez

34 papers receiving 678 citations

Peers

Miquel Ramírez
Comparison fields: 5 of 69
  • Artificial Intelligence 563
  • Software 40
  • Computer Vision and Pattern Recognition 162
  • Signal Processing 73
  • Human-Computer Interaction 18
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Mingwei Tang China
Harri Hakonen Finland
Chiara Piacentini United Kingdom
Christian Plaunt United States
David Talbot United Kingdom
Kurt Driessens Netherlands
Michael Brenner Germany
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Citations per field
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Citations per year

Countries citing papers authored by Miquel Ramírez

Since Specialization
Citations

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

Fields of papers citing papers by Miquel Ramírez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miquel Ramírez. 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 Miquel Ramírez. The network helps show where Miquel Ramírez may publish in the future.

Co-authors

The 25 scholars most cited alongside Miquel Ramírez, 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 Miquel Ramírez Line = papers co-authored together Miquel Ramírez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010181
2
Plan recognition as planning
2009148
3 201183
4 200541
5
Classical planning with simulators: results on the Atari video games
201530
6 201721
7 201819
8 202019
9 201619
10 201818
11 201117
12 201416
13 201812
14 200212
15 201912
16
MAP-LAPKT: Omnipotent Multi-Agent Planning via Compilation to Classical Planning
201510
17 201310
18 20217
19 20147
20
Width and Inference Based Planners: SIW, BFS(f), and PROBE
20166

About Miquel Ramírez

Miquel Ramírez is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Computational Theory and Mathematics and Software, having authored 35 papers that have together received 727 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (19 papers), Logic, Reasoning, and Knowledge (12 papers), Robotic Path Planning Algorithms (9 papers), Reinforcement Learning in Robotics (6 papers), Machine Learning and Algorithms (4 papers), Music and Audio Processing (4 papers), Formal Methods in Verification (3 papers) and Model-Driven Software Engineering Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (563 citations), Software (40 citations), Computer Vision and Pattern Recognition (162 citations), Signal Processing (73 citations) and Human-Computer Interaction (18 citations). Miquel Ramírez has collaborated with scholars based in Australia, Spain and Italy. Frequent co-authors include Héctor Geffner, Nir Lipovetzky, Perfecto Herrera, Òscar Celma, Enrico Scala, Sylvie Thiébaux, Patrik Haslum, Adrian R. Pearce, Sebastian Sardiña and Christian Muise. Their work appears in journals such as Journal of Artificial Intelligence Research, Journal of the American Academy of Dermatology, Music Analysis, IEEE Robotics and Automation Letters and Journal of Archaeological Method and Theory.

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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