Álvaro Torralba

605 total citations
51 papers, 338 citations indexed

About

Álvaro Torralba is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Álvaro Torralba has authored 51 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 15 papers in Computer Networks and Communications and 9 papers in Computational Theory and Mathematics. Recurrent topics in Álvaro Torralba's work include AI-based Problem Solving and Planning (42 papers), Logic, Reasoning, and Knowledge (24 papers) and Constraint Satisfaction and Optimization (11 papers). Álvaro Torralba is often cited by papers focused on AI-based Problem Solving and Planning (42 papers), Logic, Reasoning, and Knowledge (24 papers) and Constraint Satisfaction and Optimization (11 papers). Álvaro Torralba collaborates with scholars based in Germany, Denmark and Spain. Álvaro Torralba's co-authors include Daniel Borrajo, Carlos Linares López, Jörg Hoffmann, Peter Kissmann, Stefan Edelkamp, Javier García, Ángel García‐Olaya, Daniel Fišer, Levi H. S. Lelis and Marcel Steinmetz and has published in prestigious journals such as European Journal of Operational Research, Artificial Intelligence and KI - Künstliche Intelligenz.

In The Last Decade

Álvaro Torralba

43 papers receiving 329 citations

Peers

Álvaro Torralba
Comparison fields: 5 of 36
  • Artificial Intelligence 277
  • Computer Networks and Communications 101
  • Computational Theory and Mathematics 62
  • Industrial and Manufacturing Engineering 36
  • Computer Vision and Pattern Recognition 29
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Citations per field, relative to Álvaro Torralba
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Countries citing papers authored by Álvaro Torralba

Since Specialization
Citations

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

Fields of papers citing papers by Álvaro Torralba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Álvaro Torralba

This figure shows the co-authorship network connecting the top 25 collaborators of Álvaro Torralba. A scholar is included among the top collaborators of Álvaro Torralba 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 Álvaro Torralba. Álvaro Torralba 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
# Work Indexed citations
1 1
2 1
3 1
4 0
5 1
6 2
7 2
8 2
9 2
10 1
11 6
12 11
13
From OpenCCG to AI Planning: Detecting Infeasible Edges in Sentence Generation
2
14
On state-dominance criteria in fork-decoupled search
5
15
Abstraction heuristics for symbolic bidirectional search
22
16 28
17
Simulation-based admissible dominance pruning
14
18 35
19
Symbolic Search and Abstraction Heuristics for Cost-Optimal Planning
13
20
Symbolic merge-and-shrink for cost-optimal planning
12

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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