Miquel Ferrer
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Computational Theory and Mathematics
- Computer Networks and Communications
- Co-authors
- Francesc SerratosaErnest ValvenyKaspar RiesenHorst BunkeXiaoyi JiangDìmosthenis KaratzasAndrea TorselloAlberto Sanfeliu
- Topics
- Graph Theory and Algorithms (11 papers)Advanced Graph Neural Networks (7 papers)Data Management and Algorithms (6 papers)
- Partner nations
- SpainSwitzerlandGermany
In The Last Decade
Miquel Ferrer
18 papers receiving 182 citations
Peers
Comparison fields: 5 of 40
- Computer Vision and Pattern Recognition 139
- Artificial Intelligence 109
- Signal Processing 48
- Computational Theory and Mathematics 31
- Computer Networks and Communications 22
Countries citing papers authored by Miquel Ferrer
This map shows the geographic impact of Miquel Ferrer'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 Miquel Ferrer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miquel Ferrer more than expected).
Fields of papers citing papers by Miquel Ferrer
This network shows the impact of papers produced by Miquel Ferrer. 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 Miquel Ferrer. The network helps show where Miquel Ferrer may publish in the future.
Co-authorship network of co-authors of Miquel Ferrer
This figure shows the co-authorship network connecting the top 25 collaborators of Miquel Ferrer. A scholar is included among the top collaborators of Miquel Ferrer 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 Miquel Ferrer. Miquel Ferrer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 5 | |
| 3 | 20 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 15 | |
| 7 | 17 | |
| 8 | Proceedings of the 8th international conference on Graph-based representations in pattern recognition | 3 |
| 9 | 1 | |
| 10 | 8 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 18 | |
| 14 | 15 | |
| 15 | 51 | |
| 16 | 7 | |
| 17 | 2 | |
| 18 | 2 |
About Miquel Ferrer
Miquel Ferrer is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 18 papers that have together received 190 indexed citations. Recurring topics across this work include Graph Theory and Algorithms (11 papers), Advanced Graph Neural Networks (7 papers) and Data Management and Algorithms (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (139 citations), Signal Processing (48 citations) and Artificial Intelligence (109 citations). Miquel Ferrer has collaborated with scholars based in Spain, Switzerland and Germany. Frequent co-authors include Francesc Serratosa, Ernest Valveny, Kaspar Riesen, Horst Bunke, Xiaoyi Jiang, Dìmosthenis Karatzas, Andrea Torsello, Alberto Sanfeliu, Marçal Rusiñol and Dizan Vasquez. Their work appears in journals such as Pattern Recognition, Pattern Recognition Letters and Computer Vision and Image Understanding.
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.