Fernando Gómez-Bravo
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 5%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Automotive Engineering top 10%
- Co-authors
- Federico CuestaAnı́bal OlleroGiuseppe CarboneJ. GalánAntidio ViguriaEduardo Castillo-CastañedaJuan Carlos FortesIsabel Ribeiro
- Topics
- Robotic Path Planning Algorithms (17 papers)Control and Dynamics of Mobile Robots (10 papers)Robotics and Sensor-Based Localization (7 papers)
- Cited by
- Computer Vision and Pattern RecognitionControl and Systems EngineeringAutomotive Engineering
In The Last Decade
Fernando Gómez-Bravo
35 papers receiving 567 citations
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 266
- Control and Systems Engineering 260
- Computer Networks and Communications 97
- Electrical and Electronic Engineering 97
- Automotive Engineering 94
Countries citing papers authored by Fernando Gómez-Bravo
This map shows the geographic impact of Fernando Gómez-Bravo'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 Fernando Gómez-Bravo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Gómez-Bravo more than expected).
Fields of papers citing papers by Fernando Gómez-Bravo
This network shows the impact of papers produced by Fernando Gómez-Bravo. 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 Fernando Gómez-Bravo. The network helps show where Fernando Gómez-Bravo may publish in the future.
Co-authorship network of co-authors of Fernando Gómez-Bravo
This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Gómez-Bravo. A scholar is included among the top collaborators of Fernando Gómez-Bravo 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 Fernando Gómez-Bravo. Fernando Gómez-Bravo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 33 | |
| 6 | 93 | |
| 7 | 48 | |
| 8 | 14 | |
| 9 | 11 | |
| 10 | 78 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 14 | |
| 14 | 69 | |
| 15 | Planificación de Trayectorias con el Algoritmo RRT. Aplicación a Robots No Holónomos | 5 |
| 16 | 6 | |
| 17 | 4 | |
| 18 | Autonomous parking and navigation by using soft-computing techniques | 1 |
| 19 | 6 | |
| 20 | 60 |
About Fernando Gómez-Bravo
Fernando Gómez-Bravo is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Hardware and Architecture, having authored 36 papers that have together received 599 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (17 papers), Control and Dynamics of Mobile Robots (10 papers) and Robotics and Sensor-Based Localization (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (266 citations), Control and Systems Engineering (260 citations) and Automotive Engineering (94 citations). Fernando Gómez-Bravo has collaborated with scholars based in Spain, Italy and Portugal. Frequent co-authors include Federico Cuesta, Anı́bal Ollero, Giuseppe Carbone, J. Galán, Antidio Viguria, Eduardo Castillo-Castañeda, Juan Carlos Fortes, Isabel Ribeiro, Alberto Vale and Inmaculada Pulido‐Calvo. Their work appears in journals such as The Science of The Total Environment, IEEE Transactions on Industrial Electronics and Expert Systems with Applications.
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.