M. Victoria Luzón
- Artificial Intelligence top 2%
- Sociology and Political Science top 10%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Geology top 5%
- Co-authors
- Francisco HerreraAna ValdiviaEugenio Martínez‐CámaraNuria Rodríguez-BarrosoErik CambriaFrancisco OrtínFrancisco Javier MeleroRobert Joan‐Arinyo
- Topics
- Privacy-Preserving Technologies in Data (8 papers)Constraint Satisfaction and Optimization (7 papers)Sentiment Analysis and Opinion Mining (6 papers)
- Partner nations
- SpainSingaporeNetherlands
In The Last Decade
M. Victoria Luzón
33 papers receiving 849 citations
Peers
Comparison fields: 5 of 96
- Artificial Intelligence 590
- Sociology and Political Science 163
- Information Systems 110
- Computer Vision and Pattern Recognition 84
- Geology 81
Countries citing papers authored by M. Victoria Luzón
This map shows the geographic impact of M. Victoria Luzón'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 M. Victoria Luzón with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Victoria Luzón more than expected).
Fields of papers citing papers by M. Victoria Luzón
This network shows the impact of papers produced by M. Victoria Luzón. 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 M. Victoria Luzón. The network helps show where M. Victoria Luzón may publish in the future.
Co-authorship network of co-authors of M. Victoria Luzón
This figure shows the co-authorship network connecting the top 25 collaborators of M. Victoria Luzón. A scholar is included among the top collaborators of M. Victoria Luzón 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 M. Victoria Luzón. M. Victoria Luzón 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 | 27 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 31 | |
| 8 | 92 | |
| 9 | 55 | |
| 10 | 30 | |
| 11 | 105 | |
| 12 | 24 | |
| 13 | 69 | |
| 14 | 15 | |
| 15 | 9 | |
| 16 | 7 | |
| 17 | 15 | |
| 18 | 2 | |
| 19 | Parameter tunning for PBIL algorithm in geometric constraint solving systems | 3 |
| 20 | 1 |
About M. Victoria Luzón
M. Victoria Luzón is a scholar working on Computer Graphics and Computer-Aided Design, Health Informatics and Geology, having authored 34 papers that have together received 888 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (8 papers), Constraint Satisfaction and Optimization (7 papers) and Sentiment Analysis and Opinion Mining (6 papers). The work is most often cited by research in Space and Planetary Science (26 citations), Artificial Intelligence (590 citations) and Health Informatics (21 citations). M. Victoria Luzón has collaborated with scholars based in Spain, Singapore and Netherlands. Frequent co-authors include Francisco Herrera, Ana Valdivia, Eugenio Martínez‐Cámara, Nuria Rodríguez-Barroso, Erik Cambria, Francisco Ortín, Francisco Javier Melero, Robert Joan‐Arinyo, Iti Chaturvedi and Enrique Yeguas-Bolívar. Their work appears in journals such as Expert Systems with Applications, Information Sciences and Neurocomputing.
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.