Diego M. Jiménez-Bravo
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Artificial Intelligence
- Information Systems
- Co-authors
- Álvaro Lozano MurciegoAndré Sales MendesJuan F. De PazGabriel Villarrubia GonzálezDaniel H. de la IglesiaValderi Reis Quietinho LeithardtMarı́a N. Moreno Garcı́aJavier Bajo
- Topics
- IoT Networks and Protocols (4 papers)IoT-based Smart Home Systems (3 papers)IoT and Edge/Fog Computing (3 papers)
- Journals
- IEEE AccessSensorsSustainability
In The Last Decade
Diego M. Jiménez-Bravo
20 papers receiving 256 citations
Peers
Comparison fields: 5 of 79
- Computer Vision and Pattern Recognition 64
- Electrical and Electronic Engineering 57
- Computer Networks and Communications 47
- Artificial Intelligence 46
- Information Systems 37
Countries citing papers authored by Diego M. Jiménez-Bravo
This map shows the geographic impact of Diego M. Jiménez-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 Diego M. Jiménez-Bravo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego M. Jiménez-Bravo more than expected).
Fields of papers citing papers by Diego M. Jiménez-Bravo
This network shows the impact of papers produced by Diego M. Jiménez-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 Diego M. Jiménez-Bravo. The network helps show where Diego M. Jiménez-Bravo may publish in the future.
Co-authorship network of co-authors of Diego M. Jiménez-Bravo
This figure shows the co-authorship network connecting the top 25 collaborators of Diego M. Jiménez-Bravo. A scholar is included among the top collaborators of Diego M. Jiménez-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 Diego M. Jiménez-Bravo. Diego M. Jiménez-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 | 1 | |
| 2 | 1 | |
| 3 | 35 | |
| 4 | 3 | |
| 5 | 19 | |
| 6 | 28 | |
| 7 | 0 | |
| 8 | 28 | |
| 9 | 12 | |
| 10 | 30 | |
| 11 | 6 | |
| 12 | 21 | |
| 13 | 21 | |
| 14 | 7 | |
| 15 | 11 | |
| 16 | 19 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 13 | |
| 20 | 10 |
About Diego M. Jiménez-Bravo
Diego M. Jiménez-Bravo is a scholar working on Music, Transportation and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 269 indexed citations. Recurring topics across this work include IoT Networks and Protocols (4 papers), IoT-based Smart Home Systems (3 papers) and IoT and Edge/Fog Computing (3 papers). The work is most often cited by research in Human-Computer Interaction (25 citations), Computer Vision and Pattern Recognition (64 citations) and Rehabilitation (20 citations). Diego M. Jiménez-Bravo has collaborated with scholars based in Spain, Portugal and Belgium. Frequent co-authors include Álvaro Lozano Murciego, André Sales Mendes, Juan F. De Paz, Gabriel Villarrubia González, Daniel H. de la Iglesia, Valderi Reis Quietinho Leithardt, Marı́a N. Moreno Garcı́a, Javier Bajo, Vivian F. López and Alberto López Barriuso. Their work appears in journals such as IEEE Access, Sensors and Sustainability.
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.