Francesc Serratosa
- Computer Vision and Pattern Recognition top 1%
- Organic Chemistry top 5%
- Artificial Intelligence top 2%
- Signal Processing top 5%
- Computational Theory and Mathematics top 5%
- Co-authors
- Miquel À. PericàsAlberto SanfeliuRené AlquézarXavier CortésAlbert MoyanoAlbert Solé‐RibaltaEduard ValentíElena Carceller
- Topics
- Graph Theory and Algorithms (45 papers)Advanced Image and Video Retrieval Techniques (34 papers)Advanced Graph Neural Networks (25 papers)
- Journals
- Journal of the American Chemical SocietyAccounts of Chemical ResearchInternational Journal of Molecular Sciences
- Partner nations
- SpainSwitzerlandUnited Kingdom
In The Last Decade
Francesc Serratosa
146 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 123
- Computer Vision and Pattern Recognition 772
- Organic Chemistry 634
- Artificial Intelligence 580
- Signal Processing 188
- Computational Theory and Mathematics 177
Countries citing papers authored by Francesc Serratosa
This map shows the geographic impact of Francesc Serratosa'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 Francesc Serratosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesc Serratosa more than expected).
Fields of papers citing papers by Francesc Serratosa
This network shows the impact of papers produced by Francesc Serratosa. 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 Francesc Serratosa. The network helps show where Francesc Serratosa may publish in the future.
Co-authorship network of co-authors of Francesc Serratosa
This figure shows the co-authorship network connecting the top 25 collaborators of Francesc Serratosa. A scholar is included among the top collaborators of Francesc Serratosa 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 Francesc Serratosa. Francesc Serratosa 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 9 | |
| 9 | 1 | |
| 10 | 10 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | Computing the Graph Edit Distance Using Dominant Sets | 9 |
| 14 | 38 | |
| 15 | 18 | |
| 16 | 35 | |
| 17 | 2 | |
| 18 | 10 | |
| 19 | 1 | |
| 20 | 5 |
About Francesc Serratosa
Francesc Serratosa is a scholar working on Computer Vision and Pattern Recognition, Organic Chemistry and Signal Processing, having authored 152 papers that have together received 1.8k indexed citations. Recurring topics across this work include Graph Theory and Algorithms (45 papers), Advanced Image and Video Retrieval Techniques (34 papers) and Advanced Graph Neural Networks (25 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (772 citations), Organic Chemistry (634 citations) and Artificial Intelligence (580 citations). Francesc Serratosa has collaborated with scholars based in Spain, Switzerland and United Kingdom. Frequent co-authors include Miquel À. Pericàs, Alberto Sanfeliu, René Alquézar, Xavier Cortés, Albert Moyano, Albert Solé‐Ribalta, Eduard Valentí, Elena Carceller, Miquel Ferrer and Ernest Valveny. Their work appears in journals such as Journal of the American Chemical Society, Accounts of Chemical Research and International Journal of Molecular 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.