Eva Besada-Portas
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 2%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 5%
- Control and Systems Engineering top 5%
- Co-authors
- J. OrozcoJesús Manuel de la Cruz GarcíaLuís de la TorreB. de Andrés-ToroSara Pérez-CarabazaPablo LanillosGonzalo PájaresJosé L. Risco‐Martín
- Topics
- Robotic Path Planning Algorithms (18 papers)Experimental Learning in Engineering (12 papers)Target Tracking and Data Fusion in Sensor Networks (12 papers)
- Cited by
- Computer Vision and Pattern RecognitionAerospace EngineeringComputer Networks and Communications
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Eva Besada-Portas
61 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 555
- Aerospace Engineering 508
- Computer Networks and Communications 297
- Artificial Intelligence 259
- Control and Systems Engineering 214
Countries citing papers authored by Eva Besada-Portas
This map shows the geographic impact of Eva Besada-Portas'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 Eva Besada-Portas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Besada-Portas more than expected).
Fields of papers citing papers by Eva Besada-Portas
This network shows the impact of papers produced by Eva Besada-Portas. 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 Eva Besada-Portas. The network helps show where Eva Besada-Portas may publish in the future.
Co-authorship network of co-authors of Eva Besada-Portas
This figure shows the co-authorship network connecting the top 25 collaborators of Eva Besada-Portas. A scholar is included among the top collaborators of Eva Besada-Portas 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 Eva Besada-Portas. Eva Besada-Portas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 11 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | 0 | |
| 6 | 13 | |
| 7 | 3 | |
| 8 | 8 | |
| 9 | 7 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 9 | |
| 13 | 1 | |
| 14 | 142 | |
| 15 | 5 | |
| 16 | 40 | |
| 17 | Expert guidance system for unmanned aerial vehicles based on artificial neural networks | 4 |
| 18 | 166 | |
| 19 | 2 | |
| 20 | 23 |
About Eva Besada-Portas
Eva Besada-Portas is a scholar working on Media Technology, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 66 papers that have together received 1.1k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (18 papers), Experimental Learning in Engineering (12 papers) and Target Tracking and Data Fusion in Sensor Networks (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (555 citations), Aerospace Engineering (508 citations) and Computer Networks and Communications (297 citations). Eva Besada-Portas has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include J. Orozco, Jesús Manuel de la Cruz García, Luís de la Torre, B. de Andrés-Toro, Sara Pérez-Carabaza, Pablo Lanillos, Gonzalo Pájares, José L. Risco‐Martín, José M. Girón-Sierra and Alejandro García Moreno. Their work appears in journals such as Water Research, IEEE Transactions on Automatic Control and Automatica.
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.