Albert Orriols-Puig
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 10%
- Molecular Biology
- Information Systems top 10%
- Computational Theory and Mathematics top 10%
- Co-authors
- Ester Bernadó-MansillaAlbert FornellsDavid NettletonJorge CasillasNúria MaciàDavid E. GoldbergKumara SastryFrancisco J. Martínez‐López
- Topics
- Evolutionary Algorithms and Applications (26 papers)Metaheuristic Optimization Algorithms Research (22 papers)Fuzzy Logic and Control Systems (6 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionComputational Theory and Mathematics
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Albert Orriols-Puig
32 papers receiving 840 citations
Peers
Comparison fields: 5 of 100
- Artificial Intelligence 688
- Computer Vision and Pattern Recognition 126
- Molecular Biology 101
- Information Systems 85
- Computational Theory and Mathematics 75
Countries citing papers authored by Albert Orriols-Puig
This map shows the geographic impact of Albert Orriols-Puig'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 Albert Orriols-Puig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albert Orriols-Puig more than expected).
Fields of papers citing papers by Albert Orriols-Puig
This network shows the impact of papers produced by Albert Orriols-Puig. 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 Albert Orriols-Puig. The network helps show where Albert Orriols-Puig may publish in the future.
Co-authorship network of co-authors of Albert Orriols-Puig
This figure shows the co-authorship network connecting the top 25 collaborators of Albert Orriols-Puig. A scholar is included among the top collaborators of Albert Orriols-Puig 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 Albert Orriols-Puig. Albert Orriols-Puig is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 34 | |
| 3 | 4 | |
| 4 | 21 | |
| 5 | 29 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 278 | |
| 9 | 17 | |
| 10 | 1 | |
| 11 | Unsupervised Learning of Fuzzy Association Rules for Consumer Behavior Modeling | 12 |
| 12 | 42 | |
| 13 | 7 | |
| 14 | 44 | |
| 15 | 0 | |
| 16 | 14 | |
| 17 | 8 | |
| 18 | 8 | |
| 19 | 8 | |
| 20 | 30 |
About Albert Orriols-Puig
Albert Orriols-Puig is a scholar working on Tourism, Leisure and Hospitality Management, Artificial Intelligence and Information Systems, having authored 33 papers that have together received 874 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (26 papers), Metaheuristic Optimization Algorithms Research (22 papers) and Fuzzy Logic and Control Systems (6 papers). The work is most often cited by research in Artificial Intelligence (688 citations), Computer Vision and Pattern Recognition (126 citations) and Computational Theory and Mathematics (75 citations). Albert Orriols-Puig has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Ester Bernadó-Mansilla, Albert Fornells, David Nettleton, Jorge Casillas, Núria Macià, David E. Goldberg, Kumara Sastry, Francisco J. Martínez‐López, Á. García-Piquer and Pier Luca Lanzi. Their work appears in journals such as Journal of Business Research, Expert Systems with Applications and Pattern Recognition.
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.