Ferran Diego
- Computer Vision and Pattern Recognition top 10%
- Automotive Engineering top 10%
- Artificial Intelligence
- Computer Networks and Communications
- Signal Processing
- Co-authors
- Antonio M. LópezJoan SerratFred A. HamprechtDaniel PonsaJosé M. AlvarezBoaz NadlerBjörn OmmerLucas Drumond
- Topics
- Advanced Vision and Imaging (11 papers)Video Surveillance and Tracking Methods (7 papers)Robotics and Sensor-Based Localization (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Image ProcessingIEEE Transactions on Intelligent Transportation Systems
In The Last Decade
Ferran Diego
21 papers receiving 257 citations
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 131
- Automotive Engineering 60
- Artificial Intelligence 54
- Computer Networks and Communications 44
- Signal Processing 38
Countries citing papers authored by Ferran Diego
This map shows the geographic impact of Ferran Diego'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 Ferran Diego with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ferran Diego more than expected).
Fields of papers citing papers by Ferran Diego
This network shows the impact of papers produced by Ferran Diego. 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 Ferran Diego. The network helps show where Ferran Diego may publish in the future.
Co-authorship network of co-authors of Ferran Diego
This figure shows the co-authorship network connecting the top 25 collaborators of Ferran Diego. A scholar is included among the top collaborators of Ferran Diego 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 Ferran Diego. Ferran Diego is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 19 | |
| 5 | 40 | |
| 6 | Cost efficient gradient boosting | 26 |
| 7 | Sparse convolutional coding for neuronal assembly detection | 4 |
| 8 | 7 | |
| 9 | 4 | |
| 10 | 19 | |
| 11 | 20 | |
| 12 | 2 | |
| 13 | 21 | |
| 14 | 29 | |
| 15 | 0 | |
| 16 | 1 | |
| 17 | Video alignment for difference-spotting | 5 |
| 18 | 3 | |
| 19 | 3 | |
| 20 | Voice Conversion of Non-aligned Data using Unit Selection | 15 |
About Ferran Diego
Ferran Diego is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Media Technology, having authored 23 papers that have together received 272 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (11 papers), Video Surveillance and Tracking Methods (7 papers) and Robotics and Sensor-Based Localization (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (131 citations), Automotive Engineering (60 citations) and Signal Processing (38 citations). Ferran Diego has collaborated with scholars based in Spain, Germany and Greece. Frequent co-authors include Antonio M. López, Joan Serrat, Fred A. Hamprecht, Daniel Ponsa, José M. Alvarez, Boaz Nadler, Björn Ommer, Lucas Drumond, Miguel Ángel Bautista and Antonio Bonafonte. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and IEEE Transactions on Intelligent Transportation Systems.
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.