Jon Almazán

3.8k total citations · 2 hit papers
13 papers, 1.6k citations indexed

About

Jon Almazán is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Information Systems. According to data from OpenAlex, Jon Almazán has authored 13 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 2 papers in Signal Processing and 1 paper in Information Systems. Recurrent topics in Jon Almazán's work include Advanced Image and Video Retrieval Techniques (9 papers), Image Retrieval and Classification Techniques (9 papers) and Handwritten Text Recognition Techniques (9 papers). Jon Almazán is often cited by papers focused on Advanced Image and Video Retrieval Techniques (9 papers), Image Retrieval and Classification Techniques (9 papers) and Handwritten Text Recognition Techniques (9 papers). Jon Almazán collaborates with scholars based in Spain, France and Australia. Jon Almazán's co-authors include Albert Gordo, Alícia Fornés, Ernest Valveny, Jérôme Revaud, Diane Larlus, Seiichi Uchida, Faisal Shafait, Joan Mas, Masakazu Iwamura and Dìmosthenis Karatzas and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Pattern Recognition.

In The Last Decade

Jon Almazán

13 papers receiving 1.6k citations

Hit Papers

ICDAR 2013 Robust Reading Competition 2013 2026 2017 2021 2013 2014 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
Jon Almazán Spain 11 1.6k 449 436 73 44 13 1.6k
Lluís Gómez Spain 14 2.1k 1.3× 940 2.1× 418 1.0× 22 0.3× 48 1.1× 26 2.2k
Pengyuan Lyu China 10 1.4k 0.9× 529 1.2× 305 0.7× 11 0.2× 40 0.9× 15 1.5k
Canjie Luo China 17 1.1k 0.7× 458 1.0× 262 0.6× 9 0.1× 36 0.8× 24 1.2k
Jawadul H. Bappy United States 9 677 0.4× 185 0.4× 206 0.5× 23 0.3× 31 0.7× 13 818
Santosh Divvala United States 9 664 0.4× 42 0.1× 333 0.8× 54 0.7× 16 0.4× 13 769
Showmik Bhowmik India 14 396 0.3× 174 0.4× 166 0.4× 10 0.1× 21 0.5× 26 540
Zhu Liu United States 16 629 0.4× 281 0.6× 79 0.2× 78 1.1× 246 5.6× 47 845
Joan Andreu Sánchez Spain 16 623 0.4× 104 0.2× 427 1.0× 16 0.2× 62 1.4× 78 826
Christian Viard-Gaudin France 13 662 0.4× 144 0.3× 312 0.7× 6 0.1× 47 1.1× 43 745
Tetsushi Wakabayashi Japan 11 491 0.3× 204 0.5× 194 0.4× 9 0.1× 15 0.3× 77 581

Countries citing papers authored by Jon Almazán

Since Specialization
Citations

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

Fields of papers citing papers by Jon Almazán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jon Almazán

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

All Works

13 of 13 papers shown
1.
Gordo, Albert, Jon Almazán, Jérôme Revaud, & Diane Larlus. (2017). End-to-End Learning of Deep Visual Representations for Image Retrieval. International Journal of Computer Vision. 124(2). 237–254. 322 indexed citations
2.
Almazán, Jon. (2015). Learning to Represent Handwritten Shapes and Words for Matching and Recognition. SHILAP Revista de lepidopterología. 14(3). 52–53. 1 indexed citations
3.
Gordo, Albert, et al.. (2015). LEWIS: Latent Embeddings for Word Images and Their Semantics. 1242–1250. 10 indexed citations
4.
Almazán, Jon, Albert Gordo, Alícia Fornés, & Ernest Valveny. (2014). Word Spotting and Recognition with Embedded Attributes. IEEE Transactions on Pattern Analysis and Machine Intelligence. 36(12). 2552–2566. 315 indexed citations breakdown →
5.
Almazán, Jon, Albert Gordo, Alícia Fornés, & Ernest Valveny. (2014). Segmentation-free word spotting with exemplar SVMs. Pattern Recognition. 47(12). 3967–3978. 56 indexed citations
6.
Almazán, Jon, et al.. (2014). BH2M: The Barcelona Historical, Handwritten Marriages Database. 256–261. 26 indexed citations
7.
8.
Almazán, Jon, Alícia Fornés, & Ernest Valveny. (2013). Deformable HOG-Based Shape Descriptor. 44. 1022–1026. 12 indexed citations
9.
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 →
10.
Almazán, Jon, Albert Gordo, Alícia Fornés, & Ernest Valveny. (2012). Efficient Exemplar Word Spotting. 67.1–67.11. 45 indexed citations
11.
Almazán, Jon, David Fernández, Alícia Fornés, Josep Lladós, & Ernest Valveny. (2012). A Coarse-to-Fine Approach for Handwritten Word Spotting in Large Scale Historical Documents Collection. 455–460. 11 indexed citations
12.
Almazán, Jon, Alícia Fornés, & Ernest Valveny. (2012). A non-rigid appearance model for shape description and recognition. Pattern Recognition. 45(9). 3105–3113. 10 indexed citations
13.
Fornés, Alícia, et al.. (2011). A keyword spotting approach using blurred shape model-based descriptors. 83–90. 15 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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