Raquel Trillo-Lado
- Information Systems top 10%
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Sergio IlarriRamón HermosoThierry DelotFrancesco GuerraMatteo InterlandiYannis VelegrakisSonia BergamaschiTeresa Blanco
- Topics
- Data Management and Algorithms (9 papers)Recommender Systems and Techniques (7 papers)Context-Aware Activity Recognition Systems (4 papers)
In The Last Decade
Raquel Trillo-Lado
20 papers receiving 291 citations
Peers
Comparison fields: 5 of 67
- Information Systems 101
- Computer Networks and Communications 87
- Artificial Intelligence 74
- Electrical and Electronic Engineering 62
- Computer Vision and Pattern Recognition 49
Countries citing papers authored by Raquel Trillo-Lado
This map shows the geographic impact of Raquel Trillo-Lado'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 Raquel Trillo-Lado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raquel Trillo-Lado more than expected).
Fields of papers citing papers by Raquel Trillo-Lado
This network shows the impact of papers produced by Raquel Trillo-Lado. 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 Raquel Trillo-Lado. The network helps show where Raquel Trillo-Lado may publish in the future.
Co-authorship network of co-authors of Raquel Trillo-Lado
This figure shows the co-authorship network connecting the top 25 collaborators of Raquel Trillo-Lado. A scholar is included among the top collaborators of Raquel Trillo-Lado 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 Raquel Trillo-Lado. Raquel Trillo-Lado is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 49 | |
| 5 | 9 | |
| 6 | 32 | |
| 7 | Automatic Publication of Open Data from OGC Services: the Use Case of TRAFAIR Project | 3 |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 15 | |
| 11 | 0 | |
| 12 | 4 | |
| 13 | 25 | |
| 14 | 4 | |
| 15 | 25 | |
| 16 | Location-aware recommendation systems: Where we are and where we recommend to go | 20 |
| 17 | 0 | |
| 18 | 48 | |
| 19 | Indicadores somáticos en el estudio del rendimiento en el personal de Seguridad y Defensa | 0 |
| 20 | 26 |
About Raquel Trillo-Lado
Raquel Trillo-Lado is a scholar working on Signal Processing, Transportation and Information Systems, having authored 24 papers that have together received 300 indexed citations. Recurring topics across this work include Data Management and Algorithms (9 papers), Recommender Systems and Techniques (7 papers) and Context-Aware Activity Recognition Systems (4 papers). The work is most often cited by research in Transportation (37 citations), Information Systems (101 citations) and Computer Networks and Communications (87 citations). Raquel Trillo-Lado has collaborated with scholars based in Spain, Italy and France. Frequent co-authors include Sergio Ilarri, Ramón Hermoso, Thierry Delot, Francesco Guerra, Matteo Interlandi, Yannis Velegrakis, Sonia Bergamaschi, Teresa Blanco, Ignacio Martínez Ruiz and Belén Zalba. Their work appears in journals such as IEEE Communications Surveys & Tutorials, Expert Systems with Applications and Information Sciences.
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.