Joan Mas

1.6k total citations · 1 hit paper
12 papers, 873 citations indexed

About

Joan Mas is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Archeology. According to data from OpenAlex, Joan Mas has authored 12 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 3 papers in Signal Processing and 2 papers in Archeology. Recurrent topics in Joan Mas's work include Handwritten Text Recognition Techniques (4 papers), Image Retrieval and Classification Techniques (4 papers) and Music and Audio Processing (3 papers). Joan Mas is often cited by papers focused on Handwritten Text Recognition Techniques (4 papers), Image Retrieval and Classification Techniques (4 papers) and Music and Audio Processing (3 papers). Joan Mas collaborates with scholars based in Spain, Australia and Japan. Joan Mas's co-authors include Lluís-Pere de las Heras, Dìmosthenis Karatzas, Seiichi Uchida, Faisal Shafait, Masakazu Iwamura, David Mota, Jon Almazán, Lluís Gómez, Josep Lladós and Alícia Fornés and has published in prestigious journals such as JUCS - Journal of Universal Computer Science, UWA Profiles and Research Repository (UWA) and Dipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona).

In The Last Decade

Joan Mas

12 papers receiving 847 citations

Hit Papers

ICDAR 2013 Robust Reading Competition 2013 2026 2017 2021 2013 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Joan Mas Spain 6 837 347 166 25 22 12 873
Bado Lee South Korea 3 517 0.6× 224 0.6× 117 0.7× 14 0.6× 37 1.7× 6 589
Florian Kleber Austria 13 494 0.6× 122 0.4× 120 0.7× 13 0.5× 21 1.0× 38 541
Suman K. Ghosh India 5 892 1.1× 436 1.3× 195 1.2× 13 0.5× 23 1.0× 7 937
Anguelos Nicolaou Spain 8 1.0k 1.3× 499 1.4× 225 1.4× 19 0.8× 25 1.1× 15 1.1k
Huaigu Cao United States 14 595 0.7× 150 0.4× 185 1.1× 22 0.9× 16 0.7× 48 626
Trung Quy Phan Singapore 17 1.1k 1.3× 400 1.2× 105 0.6× 17 0.7× 13 0.6× 27 1.1k
Sukalpa Chanda India 13 299 0.4× 104 0.3× 98 0.6× 23 0.9× 11 0.5× 35 351
Stefan Fiel Austria 11 479 0.6× 151 0.4× 175 1.1× 21 0.8× 24 1.1× 16 507
David Mota Portugal 3 783 0.9× 339 1.0× 151 0.9× 19 0.8× 22 1.0× 6 813
Shangxuan Tian Singapore 10 607 0.7× 195 0.6× 126 0.8× 15 0.6× 10 0.5× 14 646

Countries citing papers authored by Joan Mas

Since Specialization
Citations

This map shows the geographic impact of Joan Mas'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 Joan Mas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joan Mas more than expected).

Fields of papers citing papers by Joan Mas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joan Mas. 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 Joan Mas. The network helps show where Joan Mas may publish in the future.

Co-authorship network of co-authors of Joan Mas

This figure shows the co-authorship network connecting the top 25 collaborators of Joan Mas. A scholar is included among the top collaborators of Joan Mas 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 Joan Mas. Joan Mas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Mas, Joan, et al.. (2019). End-to-End Handwritten Text Detection and Transcription in Full Pages. 29–34. 13 indexed citations
2.
3.
Mas, Joan, Alícia Fornés, & Josep Lladós. (2016). An Interactive Transcription System of Census Records Using Word-Spotting Based Information Transfer. 12. 54–59. 6 indexed citations
4.
Fornés, Alícia, et al.. (2014). A bimodal crowdsourcing platform for demographic historical manuscripts. Dipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona). 103–108. 12 indexed citations
5.
Karatzas, Dìmosthenis, Faisal Shafait, Seiichi Uchida, et al.. (2013). ICDAR 2013 Robust Reading Competition. UWA Profiles and Research Repository (UWA). 1484–1493. 800 indexed citations breakdown →
6.
7.
Rusiñol, Marçal, Lluís-Pere de las Heras, Joan Mas, et al.. (2012). CVC-UAB's participation in the Flowchart Recognition Task of CLEF-IP 2012. 4 indexed citations
8.
Heras, Lluís-Pere de las, Joan Mas, Gemma Sánchez, & Ernest Valveny. (2011). Wall Patch-Based Segmentation in Architectural Floorplans. 1270–1274. 21 indexed citations
9.
Lladós, Josep, Dìmosthenis Karatzas, Joan Mas, & Gemma Sánchez. (2008). A Generic Architecture for the Conversion of Document Collections into Semantically Annotated Digital Archives. JUCS - Journal of Universal Computer Science. 14. 2912–2935. 2 indexed citations
10.
Mas, Joan, et al.. (2008). HistoSketch: A Semi-Automatic Annotation Tool for Archival Documents. 2. 517–524. 2 indexed citations
11.
Mas, Joan. (2006). Ramon de Mur, autor del retaule de Guimerà (segle XV). 20(20). 13–33. 1 indexed citations
12.
Mas, Joan. (1976). Localización de un reloj de sol romano en Guimerá. 215–230. 1 indexed citations

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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