Sergio Garrido-Jurado
- Computer Vision and Pattern Recognition top 0.5%
- Aerospace Engineering top 1%
- Control and Systems Engineering top 5%
- Human-Computer Interaction top 1%
- Biomedical Engineering top 10%
- Co-authors
- Rafael Muñoz‐SalinasF.J. Madrid-CuevasManuel J. Marín‐JiménezR. Medina-CarnicerPattie MaesMisha SraChris SchmandtJuan Garrido
- Topics
- Robotics and Sensor-Based Localization (8 papers)Augmented Reality Applications (6 papers)3D Surveying and Cultural Heritage (5 papers)
- Partner nations
- SpainUnited StatesCosta Rica
In The Last Decade
Sergio Garrido-Jurado
12 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Computer Vision and Pattern Recognition 1.2k
- Aerospace Engineering 928
- Control and Systems Engineering 375
- Human-Computer Interaction 333
- Biomedical Engineering 298
Countries citing papers authored by Sergio Garrido-Jurado
This map shows the geographic impact of Sergio Garrido-Jurado'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 Sergio Garrido-Jurado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergio Garrido-Jurado more than expected).
Fields of papers citing papers by Sergio Garrido-Jurado
This network shows the impact of papers produced by Sergio Garrido-Jurado. 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 Sergio Garrido-Jurado. The network helps show where Sergio Garrido-Jurado may publish in the future.
Co-authorship network of co-authors of Sergio Garrido-Jurado
This figure shows the co-authorship network connecting the top 25 collaborators of Sergio Garrido-Jurado. A scholar is included among the top collaborators of Sergio Garrido-Jurado 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 Sergio Garrido-Jurado. Sergio Garrido-Jurado 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 | 4 | |
| 3 | 11 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 22 | |
| 7 | 43 | |
| 8 | 33 | |
| 9 | 18 | |
| 10 | 85 | |
| 11 | Generation of fiducial marker dictionaries using Mixed Integer Linear Programmingbreakdown → | 335 |
| 12 | Automatic generation and detection of highly reliable fiducial markers under occlusionbreakdown → | 1624 |
About Sergio Garrido-Jurado
Sergio Garrido-Jurado is a scholar working on Geology, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 12 papers that have together received 2.2k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (8 papers), Augmented Reality Applications (6 papers) and 3D Surveying and Cultural Heritage (5 papers). The work is most often cited by research in Human-Computer Interaction (333 citations), Computer Vision and Pattern Recognition (1.2k citations) and Geology (289 citations). Sergio Garrido-Jurado has collaborated with scholars based in Spain, United States and Costa Rica. Frequent co-authors include Rafael Muñoz‐Salinas, F.J. Madrid-Cuevas, Manuel J. Marín‐Jiménez, R. Medina-Carnicer, Pattie Maes, Misha Sra, Chris Schmandt, Juan Garrido, Francisco Vázquez and O. Arrieta. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Sensors.
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.