Marçal Rusiñol
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Media Technology top 5%
- Information Systems top 10%
- Signal Processing
- Co-authors
- Josep LladósDavid AldavertRicardo ToledoDìmosthenis KaratzasAlícia FornésGernot A. FinkMauricio VillegasPau Riba
- Topics
- Handwritten Text Recognition Techniques (31 papers)Advanced Image and Video Retrieval Techniques (30 papers)Image Retrieval and Classification Techniques (24 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligencePattern RecognitionPattern Recognition Letters
- Partner nations
- SpainFranceUnited Kingdom
In The Last Decade
Marçal Rusiñol
47 papers receiving 808 citations
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 766
- Artificial Intelligence 273
- Media Technology 92
- Information Systems 52
- Signal Processing 33
Countries citing papers authored by Marçal Rusiñol
This map shows the geographic impact of Marçal Rusiñol'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 Marçal Rusiñol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marçal Rusiñol more than expected).
Fields of papers citing papers by Marçal Rusiñol
This network shows the impact of papers produced by Marçal Rusiñol. 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 Marçal Rusiñol. The network helps show where Marçal Rusiñol may publish in the future.
Co-authorship network of co-authors of Marçal Rusiñol
This figure shows the co-authorship network connecting the top 25 collaborators of Marçal Rusiñol. A scholar is included among the top collaborators of Marçal Rusiñol 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 Marçal Rusiñol. Marçal Rusiñol is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 54 | |
| 3 | 7 | |
| 4 | 17 | |
| 5 | 20 | |
| 6 | 19 | |
| 7 | 10 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 78 | |
| 12 | 0 | |
| 13 | 23 | |
| 14 | 10 | |
| 15 | Multipage document retrieval by textual and visual representations | 12 |
| 16 | CVC-UAB's participation in the Flowchart Recognition Task of CLEF-IP 2012 | 4 |
| 17 | 35 | |
| 18 | 10 | |
| 19 | 22 | |
| 20 | 17 |
About Marçal Rusiñol
Marçal Rusiñol is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 49 papers that have together received 861 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (31 papers), Advanced Image and Video Retrieval Techniques (30 papers) and Image Retrieval and Classification Techniques (24 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (766 citations), Media Technology (92 citations) and Artificial Intelligence (273 citations). Marçal Rusiñol has collaborated with scholars based in Spain, France and United Kingdom. Frequent co-authors include Josep Lladós, David Aldavert, Ricardo Toledo, Dìmosthenis Karatzas, Alícia Fornés, Gernot A. Fink, Mauricio Villegas, Pau Riba, Lei Kang and Lluís Gómez. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Pattern Recognition Letters.
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.