Ernest Valveny

4.6k citations
65 papers · 2.2k indexed · 2 hit papers · h-index 18
Topics
Handwritten Text Recognition Techniques (31 papers)Advanced Image and Video Retrieval Techniques (31 papers)Image Retrieval and Classification Techniques (24 papers)
Partner nations
SpainFranceSwitzerland

In The Last Decade

Ernest Valveny

62 papers receiving 2.1k citations

Hit Papers

ICDAR 2015 competition on Robust Reading201420262018202220152014250500750

Peers

Ernest Valveny
Comparison fields: 5 of 86
  • Computer Vision and Pattern Recognition 1.9k
  • Artificial Intelligence 603
  • Media Technology 544
  • Geology 156
  • Signal Processing 95
Replace Kim–Hui Yap with:
Kim–Hui Yap Singapore
Sam S. Tsai United States
Aniruddha Kembhavi United States
Simone Milani Italy
Zhongdao Wang China
Junyu Han China
Lixin Fan China
Hao Zhao China
Ernest Valveny relative to Kim–Hui Yap Singapore Kim–Hui Yap's profile →
Citations per field
00.5×4.9×
Kim–Hui Yap · 1×
Citations per year

Countries citing papers authored by Ernest Valveny

Since Specialization
Citations

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

Fields of papers citing papers by Ernest Valveny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ernest Valveny

This figure shows the co-authorship network connecting the top 25 collaborators of Ernest Valveny. A scholar is included among the top collaborators of Ernest Valveny 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 Ernest Valveny. Ernest Valveny 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
#WorkIndexed citations
1 0
2 17
3 11
4 43
5 18
6 4
7
Word Spotting and Recognition with Embedded Attributesbreakdown →
315
8 56
9 12
10 19
11 21
12 4
13 18
14 54
15 4
16
Optimal Linear Combination for Two-Class Classifiers
0
17 2
18
Report on the Second Symbol Recognition Contest
0
19 10
20 5

About Ernest Valveny

Ernest Valveny is a scholar working on Computer Vision and Pattern Recognition, Geology and Signal Processing, having authored 65 papers that have together received 2.2k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (31 papers), Advanced Image and Video Retrieval Techniques (31 papers) and Image Retrieval and Classification Techniques (24 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.9k citations), Media Technology (544 citations) and Geology (156 citations). Ernest Valveny has collaborated with scholars based in Spain, France and Switzerland. Frequent co-authors include Alícia Fornés, Albert Gordo, Jon Almazán, Dìmosthenis Karatzas, Suman K. Ghosh, Lluís Gómez, Shijian Lu, Lukáš Neumann, Jiřı́ Matas and Seiichi Uchida. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Pattern Recognition.

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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