Manuel Luque
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging
- Computer Science Applications top 5%
- Management Science and Operations Research top 10%
- Mechanics of Materials
- Co-authors
- Francisco Javier DíezJorge Pérez‐MartínCarmen LacaveCarlos DisdierIñigo BermejoFélix Hernández‐del‐OlmoRicardo ConejoFinn V. Jensen
- Topics
- Bayesian Modeling and Causal Inference (8 papers)AI-based Problem Solving and Planning (4 papers)Innovative Teaching and Learning Methods (3 papers)
- Cited by
- Computer Science ApplicationsArtificial IntelligenceManagement Science and Operations Research
- Journals
- Expert Systems with ApplicationsIEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)Computer Methods and Programs in Biomedicine
- Partner nations
- SpainMexicoUnited Kingdom
In The Last Decade
Manuel Luque
15 papers receiving 259 citations
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 120
- Radiology, Nuclear Medicine and Imaging 68
- Computer Science Applications 51
- Management Science and Operations Research 45
- Mechanics of Materials 33
Countries citing papers authored by Manuel Luque
This map shows the geographic impact of Manuel Luque'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 Manuel Luque with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuel Luque more than expected).
Fields of papers citing papers by Manuel Luque
This network shows the impact of papers produced by Manuel Luque. 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 Manuel Luque. The network helps show where Manuel Luque may publish in the future.
Co-authorship network of co-authors of Manuel Luque
This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Luque. A scholar is included among the top collaborators of Manuel Luque 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 Manuel Luque. Manuel Luque is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 85 | |
| 4 | 5 | |
| 5 | 8 | |
| 6 | 9 | |
| 7 | 10 | |
| 8 | Synthesis of Strategies in Influence Diagrams. | 6 |
| 9 | 8 | |
| 10 | 8 | |
| 11 | 16 | |
| 12 | 24 | |
| 13 | 37 | |
| 14 | 16 | |
| 15 | An anytime algorithm for evaluating unconstrained influence diagrams | 4 |
| 16 | 38 |
About Manuel Luque
Manuel Luque is a scholar working on Computer Science Applications, Management Science and Operations Research and Artificial Intelligence, having authored 16 papers that have together received 276 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (8 papers), AI-based Problem Solving and Planning (4 papers) and Innovative Teaching and Learning Methods (3 papers). The work is most often cited by research in Computer Science Applications (51 citations), Artificial Intelligence (120 citations) and Management Science and Operations Research (45 citations). Manuel Luque has collaborated with scholars based in Spain, Mexico and United Kingdom. Frequent co-authors include Francisco Javier Díez, Jorge Pérez‐Martín, Carmen Lacave, Carlos Disdier, Iñigo Bermejo, Félix Hernández‐del‐Olmo, Ricardo Conejo, Finn V. Jensen and Thomas D. Nielsen. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) and Computer Methods and Programs in Biomedicine.
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.