Francisco Escolano
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 5%
- Artificial Intelligence top 5%
- Statistical and Nonlinear Physics top 10%
- Molecular Biology
- Co-authors
- Miguel Ángel LozanoEdwin R. HancockBoyán BonevMiguel CazorlaRichard C. WilsonJ. M. GórrizAntonio PeñalverWendy Aguilar
- Topics
- Advanced Image and Video Retrieval Techniques (15 papers)Robotics and Sensor-Based Localization (13 papers)Graph Theory and Algorithms (12 papers)
- Partner nations
- SpainUnited KingdomItaly
In The Last Decade
Francisco Escolano
56 papers receiving 789 citations
Peers
Comparison fields: 5 of 100
- Computer Vision and Pattern Recognition 472
- Aerospace Engineering 236
- Artificial Intelligence 230
- Statistical and Nonlinear Physics 84
- Molecular Biology 75
Countries citing papers authored by Francisco Escolano
This map shows the geographic impact of Francisco Escolano'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 Francisco Escolano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francisco Escolano more than expected).
Fields of papers citing papers by Francisco Escolano
This network shows the impact of papers produced by Francisco Escolano. 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 Francisco Escolano. The network helps show where Francisco Escolano may publish in the future.
Co-authorship network of co-authors of Francisco Escolano
This figure shows the co-authorship network connecting the top 25 collaborators of Francisco Escolano. A scholar is included among the top collaborators of Francisco Escolano 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 Francisco Escolano. Francisco Escolano 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 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 12 | |
| 7 | Structural, Syntactic, and Statistical Pettern Recognition: S+SSPR 2014 | 1 |
| 8 | 25 | |
| 9 | Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition - Volume 8621 | 1 |
| 10 | 1 | |
| 11 | 37 | |
| 12 | Structural, syntactic, and statistical pattern recognition : joint IAPR international workshop, SSPR & SPR 2010 : Cesme, Izmir, Turkey, August 18 - 20, 2010 : proceedings | 2 |
| 13 | 4 | |
| 14 | 4 | |
| 15 | 4 | |
| 16 | 37 | |
| 17 | 12 | |
| 18 | 26 | |
| 19 | 21 | |
| 20 | 9 |
About Francisco Escolano
Francisco Escolano is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Discrete Mathematics and Combinatorics, having authored 62 papers that have together received 817 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (15 papers), Robotics and Sensor-Based Localization (13 papers) and Graph Theory and Algorithms (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (472 citations), Aerospace Engineering (236 citations) and Artificial Intelligence (230 citations). Francisco Escolano has collaborated with scholars based in Spain, United Kingdom and Italy. Frequent co-authors include Miguel Ángel Lozano, Edwin R. Hancock, Boyán Bonev, Miguel Cazorla, Richard C. Wilson, J. M. Górriz, Antonio Peñalver, Wendy Aguilar, Yann Frauel and M. Elena Martínez-Pérez. Their work appears in journals such as IEEE Transactions on Image Processing, Pattern Recognition and Information Sciences.
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.