Marçal Rusiñol

115 total papers · 2.3k total citations
49 papers, 851 citations indexed

About

Marçal Rusiñol is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Marçal Rusiñol has authored 49 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Marçal Rusiñol's work include Handwritten Text Recognition Techniques (31 papers), Advanced Image and Video Retrieval Techniques (30 papers) and Image Retrieval and Classification Techniques (24 papers). Marçal Rusiñol is often cited by papers focused on Handwritten Text Recognition Techniques (31 papers), Advanced Image and Video Retrieval Techniques (30 papers) and Image Retrieval and Classification Techniques (24 papers). Marçal Rusiñol collaborates with scholars based in Spain, France and United Kingdom. Marçal Rusiñol's co-authors include Josep Lladós, David Aldavert, Ricardo Toledo, Dìmosthenis Karatzas, Alícia Fornés, Gernot A. Fink, Lei Kang, Pau Riba, Mauricio Villegas and Lluís Gómez and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Pattern Recognition Letters.

In The Last Decade

Marçal Rusiñol

47 papers receiving 798 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Marçal Rusiñol 763 272 92 52 32 49 851
Simone Marinai 667 0.9× 249 0.9× 101 1.1× 87 1.7× 76 2.4× 62 914
Ihsin T. Phillips 697 0.9× 160 0.6× 118 1.3× 48 0.9× 23 0.7× 45 765
Liang Xie 799 1.0× 227 0.8× 74 0.8× 38 0.7× 43 1.3× 49 1.0k
Xinwen Hou 723 0.9× 182 0.7× 226 2.5× 30 0.6× 56 1.8× 43 904
Rosalina Abdul Salam 683 0.9× 133 0.5× 308 3.3× 32 0.6× 11 0.3× 56 931
Konstantinos Zagoris 647 0.8× 165 0.6× 165 1.8× 25 0.5× 22 0.7× 34 719
Teófilo de Campos 603 0.8× 231 0.8× 126 1.4× 21 0.4× 86 2.7× 43 816
Zhibo Yang 588 0.8× 126 0.5× 317 3.4× 19 0.4× 17 0.5× 30 713
Hyung Il Koo 639 0.8× 66 0.2× 239 2.6× 13 0.3× 29 0.9× 56 731
Duanqing Xu 579 0.8× 179 0.7× 30 0.3× 14 0.3× 66 2.1× 41 710

Countries citing papers authored by Marçal Rusiñol

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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