Diego Rodríguez-Losada
- Aerospace Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Co-authors
- Fernando Matı́aPablo San SegundoAgustín JiménezRamón GalánGerard LaceyPaloma de la PuenteMiguel HernandoAntonio R. Jiménez
- Topics
- Robotics and Sensor-Based Localization (25 papers)Robotic Path Planning Algorithms (17 papers)Indoor and Outdoor Localization Technologies (11 papers)
In The Last Decade
Diego Rodríguez-Losada
40 papers receiving 609 citations
Peers
Comparison fields: 5 of 77
- Aerospace Engineering 271
- Computer Vision and Pattern Recognition 241
- Artificial Intelligence 170
- Electrical and Electronic Engineering 115
- Computer Networks and Communications 110
Countries citing papers authored by Diego Rodríguez-Losada
This map shows the geographic impact of Diego Rodríguez-Losada'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 Diego Rodríguez-Losada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Rodríguez-Losada more than expected).
Fields of papers citing papers by Diego Rodríguez-Losada
This network shows the impact of papers produced by Diego Rodríguez-Losada. 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 Diego Rodríguez-Losada. The network helps show where Diego Rodríguez-Losada may publish in the future.
Co-authorship network of co-authors of Diego Rodríguez-Losada
This figure shows the co-authorship network connecting the top 25 collaborators of Diego Rodríguez-Losada. A scholar is included among the top collaborators of Diego Rodríguez-Losada 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 Diego Rodríguez-Losada. Diego Rodríguez-Losada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 21 | |
| 4 | 20 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 23 | |
| 8 | 1 | |
| 9 | 35 | |
| 10 | 2 | |
| 11 | 10 | |
| 12 | 3 | |
| 13 | 16 | |
| 14 | 10 | |
| 15 | 3 | |
| 16 | 30 | |
| 17 | 10 | |
| 18 | 12 | |
| 19 | 1 | |
| 20 | 7 |
About Diego Rodríguez-Losada
Diego Rodríguez-Losada is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Geology, having authored 40 papers that have together received 637 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (25 papers), Robotic Path Planning Algorithms (17 papers) and Indoor and Outdoor Localization Technologies (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (241 citations), Aerospace Engineering (271 citations) and Geology (53 citations). Diego Rodríguez-Losada has collaborated with scholars based in Spain, Australia and Italy. Frequent co-authors include Fernando Matı́a, Pablo San Segundo, Agustín Jiménez, Ramón Galán, Gerard Lacey, Paloma de la Puente, Miguel Hernando, Antonio R. Jiménez, Gamini Dissanayake and Jaime Valls Miró. Their work appears in journals such as Fuzzy Sets and Systems, IEEE Transactions on Robotics and Computers & Operations Research.
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.