Cristina Losada
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Aerospace Engineering top 10%
- Biomedical Engineering
- Co-authors
- Marta Marrón-RomeraManuel MazoDaniel PizarroJavier Macías-GuarasaIgnácio BravoAlfredo GardelFelipe EspinosaEnrique Santiso
- Topics
- Video Surveillance and Tracking Methods (13 papers)Anomaly Detection Techniques and Applications (11 papers)Human Pose and Action Recognition (8 papers)
In The Last Decade
Cristina Losada
45 papers receiving 566 citations
Peers
Comparison fields: 5 of 87
- Computer Vision and Pattern Recognition 291
- Electrical and Electronic Engineering 162
- Artificial Intelligence 144
- Aerospace Engineering 122
- Biomedical Engineering 79
Countries citing papers authored by Cristina Losada
This map shows the geographic impact of Cristina 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 Cristina Losada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cristina Losada more than expected).
Fields of papers citing papers by Cristina Losada
This network shows the impact of papers produced by Cristina 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 Cristina Losada. The network helps show where Cristina Losada may publish in the future.
Co-authorship network of co-authors of Cristina Losada
This figure shows the co-authorship network connecting the top 25 collaborators of Cristina Losada. A scholar is included among the top collaborators of Cristina 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 Cristina Losada. Cristina 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 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 32 | |
| 8 | 55 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 21 | |
| 12 | 38 | |
| 13 | 14 | |
| 14 | 15 | |
| 15 | 10 | |
| 16 | 64 | |
| 17 | 1 | |
| 18 | 35 | |
| 19 | Thatcher o el principio de realidad con faldas | 0 |
| 20 | Terrorismo y medios de comunicación (I). El oxígeno de la publicidad | 1 |
About Cristina Losada
Cristina Losada is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Instrumentation, having authored 50 papers that have together received 587 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (13 papers), Anomaly Detection Techniques and Applications (11 papers) and Human Pose and Action Recognition (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (291 citations), Human-Computer Interaction (47 citations) and Instrumentation (19 citations). Cristina Losada has collaborated with scholars based in Spain, Argentina and Italy. Frequent co-authors include Marta Marrón-Romera, Manuel Mazo, Daniel Pizarro, Javier Macías-Guarasa, Ignácio Bravo, Alfredo Gardel, Felipe Espinosa, Enrique Santiso, David Casillas-Pérez and Sergio Diz. Their work appears in journals such as Expert Systems with Applications, Sensors and International Journal of Environmental Research and Public Health.
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.