Pau Riba

914 total citations
23 papers, 293 citations indexed

About

Pau Riba is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Pau Riba has authored 23 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Pau Riba's work include Handwritten Text Recognition Techniques (11 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Graph Theory and Algorithms (7 papers). Pau Riba is often cited by papers focused on Handwritten Text Recognition Techniques (11 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Graph Theory and Algorithms (7 papers). Pau Riba collaborates with scholars based in Spain, China and Switzerland. Pau Riba's co-authors include Alícia Fornés, Josep Lladós, Mauricio Villegas, Marçal Rusiñol, Lei Kang, Anjan Dutta, Lutz Goldmann, Oriol Ramos Terrades, Jorge Calvo-Zaragoza and Umapada Pal 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

Pau Riba

23 papers receiving 275 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pau Riba Spain 11 239 117 49 32 19 23 293
Adam Woźnica Switzerland 7 117 0.5× 87 0.7× 22 0.4× 14 0.4× 17 0.9× 9 182
Dalel Bouslimi France 10 322 1.3× 61 0.5× 36 0.7× 16 0.5× 30 1.6× 19 352
Mahbuba Begum Bangladesh 9 348 1.5× 91 0.8× 35 0.7× 61 1.9× 22 1.2× 18 426
Joan Puigcerver Spain 11 289 1.2× 171 1.5× 37 0.8× 41 1.3× 19 1.0× 19 329
Luisa Micó Spain 8 119 0.5× 115 1.0× 98 2.0× 5 0.2× 25 1.3× 16 218
Xiangli Xiao China 9 235 1.0× 85 0.7× 53 1.1× 19 0.6× 41 2.2× 21 317
Yi Wen China 6 162 0.7× 187 1.6× 12 0.2× 18 0.6× 22 1.2× 8 257
Toni M. Rath United States 7 461 1.9× 213 1.8× 71 1.4× 30 0.9× 20 1.1× 8 515
S. Thakur India 4 241 1.0× 48 0.4× 29 0.6× 19 0.6× 35 1.8× 4 280
Sebastian Krinninger Austria 6 93 0.4× 75 0.6× 40 0.8× 28 0.9× 23 1.2× 17 175

Countries citing papers authored by Pau Riba

Since Specialization
Citations

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

Fields of papers citing papers by Pau Riba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pau Riba

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

All Works

20 of 20 papers shown
1.
Kang, Lei, Pau Riba, Marçal Rusiñol, Alícia Fornés, & Mauricio Villegas. (2022). Pay attention to what you read: Non-recurrent handwritten text-Line recognition. Pattern Recognition. 129. 108766–108766. 54 indexed citations
2.
Riba, Pau, et al.. (2022). Table detection in business document images by message passing networks. Pattern Recognition. 127. 108641–108641. 11 indexed citations
3.
Biswas, Sanket, Pau Riba, Josep Lladós, & Umapada Pal. (2021). Beyond document object detection: instance-level segmentation of complex layouts. International Journal on Document Analysis and Recognition (IJDAR). 24(3). 269–281. 14 indexed citations
4.
Kang, Lei, Pau Riba, Marçal Rusiñol, Alícia Fornés, & Mauricio Villegas. (2021). Content and Style Aware Generation of Text-Line Images for Handwriting Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(12). 8846–8860. 17 indexed citations
5.
6.
Kang, Lei, Pau Riba, Mauricio Villegas, Alícia Fornés, & Marçal Rusiñol. (2020). Candidate fusion: Integrating language modelling into a sequence-to-sequence handwritten word recognition architecture. Pattern Recognition. 112. 107790–107790. 19 indexed citations
7.
Kang, Lei, Pau Riba, Marçal Rusiñol, Alícia Fornés, & Mauricio Villegas. (2020). Distilling Content from Style for Handwritten Word Recognition. 139–144. 4 indexed citations
8.
Riba, Pau, Anjan Dutta, Lutz Goldmann, et al.. (2019). Table Detection in Invoice Documents by Graph Neural Networks. Open Research Exeter (University of Exeter). 122–127. 32 indexed citations
9.
Riba, Pau, Josep Lladós, & Alícia Fornés. (2019). Hierarchical graphs for coarse-to-fine error tolerant matching. Pattern Recognition Letters. 134. 116–124. 6 indexed citations
10.
Dutta, Anjan, Pau Riba, Josep Lladós, & Alícia Fornés. (2019). Hierarchical stochastic graphlet embedding for graph-based pattern recognition. Neural Computing and Applications. 32(15). 11579–11596. 10 indexed citations
11.
12.
Riba, Pau, Andreas Fischer, Josep Lladós, & Alícia Fornés. (2018). Learning Graph Distances with Message Passing Neural Networks. 2239–2244. 15 indexed citations
13.
Riba, Pau, Anjan Dutta, Josep Lladós, & Alícia Fornés. (2017). Graph-Based Deep Learning for Graphics Classification. Open Research Exeter (University of Exeter). 29–30. 6 indexed citations
14.
Riba, Pau, Anjan Dutta, Sounak Dey, Josep Lladós, & Alícia Fornés. (2017). Improving Information Retrieval in Multiwriter Scenario by Exploiting the Similarity Graph of Document Terms. Open Research Exeter (University of Exeter). 24. 475–480. 1 indexed citations
15.
Riba, Pau, et al.. (2017). Optical Music Recognition by Recurrent Neural Networks. 25–26. 2 indexed citations
16.
Riba, Pau, et al.. (2016). Towards the Recognition of Compound Music Notes in Handwritten Music Scores. 465–470. 10 indexed citations
17.
Riba, Pau, Josep Lladós, Alícia Fornés, & Anjan Dutta. (2016). Large-scale graph indexing using binary embeddings of node contexts for information spotting in document image databases. Pattern Recognition Letters. 87. 203–211. 8 indexed citations
18.
Riba, Pau, Josep Lladós, & Alícia Fornés. (2015). Handwritten word spotting by inexact matching of grapheme graphs. 781–785. 21 indexed citations
19.
Riba, Pau, et al.. (2014). On the Influence of Key Point Encoding for Handwritten Word Spotting. 476–481. 3 indexed citations
20.

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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