Miguel R. Luaces
- Information Systems top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Signal Processing top 10%
- Co-authors
- Óscar PedreiraNieves R. BrisaboaEnrique Fernández-BlancoDaniel RiveroMario PiattiniDiego SecoNelly Condorí-FernándezFrancisco J. Pino
- Topics
- Advanced Software Engineering Methodologies (16 papers)Data Management and Algorithms (14 papers)Service-Oriented Architecture and Web Services (14 papers)
- Partner nations
- SpainChileNetherlands
In The Last Decade
Miguel R. Luaces
46 papers receiving 478 citations
Peers
Comparison fields: 5 of 75
- Information Systems 208
- Artificial Intelligence 159
- Computer Vision and Pattern Recognition 155
- Computer Networks and Communications 131
- Signal Processing 79
Countries citing papers authored by Miguel R. Luaces
This map shows the geographic impact of Miguel R. Luaces'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 Miguel R. Luaces with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel R. Luaces more than expected).
Fields of papers citing papers by Miguel R. Luaces
This network shows the impact of papers produced by Miguel R. Luaces. 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 Miguel R. Luaces. The network helps show where Miguel R. Luaces may publish in the future.
Co-authorship network of co-authors of Miguel R. Luaces
This figure shows the co-authorship network connecting the top 25 collaborators of Miguel R. Luaces. A scholar is included among the top collaborators of Miguel R. Luaces 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 Miguel R. Luaces. Miguel R. Luaces 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 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 3 | |
| 13 | 11 | |
| 14 | 13 | |
| 15 | Applying Feature-Oriented Software Development in SaaS Systems: Real Experience, Measurements, and Findings | 1 |
| 16 | 1 | |
| 17 | GISBUILDER: A FRAMEWORK FOR THE SEMI-AUTOMATIC GENERATION OF WEB-BASED GEOGRAPHIC INFORMATION SYSTEMS | 4 |
| 18 | On the Compression of Geography Markup Language | 1 |
| 19 | Collecting and publishing massive geographic data ∗ | 0 |
| 20 | Mejorando la accesibilidad de las aplicaciones GIS basadas en Web. | 0 |
About Miguel R. Luaces
Miguel R. Luaces is a scholar working on Software, Signal Processing and Information Systems, having authored 57 papers that have together received 508 indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (16 papers), Data Management and Algorithms (14 papers) and Service-Oriented Architecture and Web Services (14 papers). The work is most often cited by research in Software (45 citations), Information Systems (208 citations) and Geography, Planning and Development (45 citations). Miguel R. Luaces has collaborated with scholars based in Spain, Chile and Netherlands. Frequent co-authors include Óscar Pedreira, Nieves R. Brisaboa, Enrique Fernández-Blanco, Daniel Rivero, Mario Piattini, Diego Seco, Nelly Condorí-Fernández, Francisco J. Pino, Félix García and Patricia Lago. Their work appears in journals such as Sensors, Sustainability and Knowledge-Based Systems.
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.