Dolores Blanco
- Biomedical Engineering top 10%
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 5%
- Control and Systems Engineering top 5%
- Materials Chemistry
- Co-authors
- Luís MorenoDorin CopaciSantiago GarridoFernando MartínBeatriz L. BoadaEnrique Caño-MarínMiguel Á. SalichsMaría Malfáz
- Topics
- Robotics and Sensor-Based Localization (29 papers)Robotic Path Planning Algorithms (25 papers)Shape Memory Alloy Transformations (9 papers)
- Journals
- IEEE AccessSensorsNeurocomputing
- Partner nations
- SpainUnited StatesEgypt
In The Last Decade
Dolores Blanco
62 papers receiving 958 citations
Peers
Comparison fields: 5 of 89
- Biomedical Engineering 413
- Computer Vision and Pattern Recognition 402
- Aerospace Engineering 290
- Control and Systems Engineering 200
- Materials Chemistry 161
Countries citing papers authored by Dolores Blanco
This map shows the geographic impact of Dolores Blanco'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 Dolores Blanco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dolores Blanco more than expected).
Fields of papers citing papers by Dolores Blanco
This network shows the impact of papers produced by Dolores Blanco. 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 Dolores Blanco. The network helps show where Dolores Blanco may publish in the future.
Co-authorship network of co-authors of Dolores Blanco
This figure shows the co-authorship network connecting the top 25 collaborators of Dolores Blanco. A scholar is included among the top collaborators of Dolores Blanco 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 Dolores Blanco. Dolores Blanco 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 | 1 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 8 | |
| 8 | 19 | |
| 9 | 15 | |
| 10 | 12 | |
| 11 | 5 | |
| 12 | 11 | |
| 13 | 32 | |
| 14 | 23 | |
| 15 | 5 | |
| 16 | Accelerated Localization in Noisy 3D Environments using Differential Evolution. | 0 |
| 17 | 9 | |
| 18 | 4 | |
| 19 | 2 | |
| 20 | 3 |
About Dolores Blanco
Dolores Blanco is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Rehabilitation, having authored 68 papers that have together received 997 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (29 papers), Robotic Path Planning Algorithms (25 papers) and Shape Memory Alloy Transformations (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (402 citations), Rehabilitation (121 citations) and Aerospace Engineering (290 citations). Dolores Blanco has collaborated with scholars based in Spain, United States and Egypt. Frequent co-authors include Luís Moreno, Dorin Copaci, Santiago Garrido, Fernando Martín, Beatriz L. Boada, Enrique Caño-Marín, Miguel Á. Salichs, María Malfáz, Cristina Castejón and Mohamed Abderrahim. Their work appears in journals such as IEEE Access, Sensors 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.