David Llorens

443 citations
23 papers · 228 · h-index 8

Impact in

Papers in

David Llorens

23 papers receiving 202 citations

Peers

David Llorens
Comparison fields: 5 of 52
  • Artificial Intelligence 162
  • Human-Computer Interaction 12
  • Computer Vision and Pattern Recognition 35
  • Signal Processing 16
  • Computational Theory and Mathematics 20
Replace Bertram Nickolay with:
Bertram Nickolay Germany
Shaobo Hou United Kingdom
Jonathan Schwarz United Kingdom
Bingxin Xu China
Paul Szerlip United States
George Retsinas Greece
Giuseppe Cuccu Switzerland
Zhanning Gao China
Hai Jin China
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Citations per field
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Citations per year

Countries citing papers authored by David Llorens

Since Specialization
Citations

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

Fields of papers citing papers by David Llorens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Llorens, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Llorens Line = papers co-authored together David Llorens links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200345
2
The UJIpenchars Database: a Pen-Based Database of Isolated Handwritten Characters.
200832
3 200225
4 200025
5 200819
6 199616
7 200211
8
Text speech translation by means of subsequential transducers
19997
9 20107
10
Using Categories in the EUTRANS System
19976
11 19976
12 19996
13 19995
14 20085
15
An input panel and recognition engine for on-line handwritten text recognition
20073
16 20012
17 20092
18
Medida de la densidad aparente de baldosas cerámicas de forma rápida, inocua y no destructiva
20111
19
Estudio de la operación de prensado de baldosas de gran formato utilizando la absorción de rayos X
20101
20 20211

About David Llorens

David Llorens is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Computational Mechanics and Computational Theory and Mathematics, having authored 23 papers that have together received 228 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (10 papers), Machine Learning and Algorithms (5 papers), Speech and dialogue systems (4 papers), Speech Recognition and Synthesis (4 papers), Music and Audio Processing (3 papers), Algorithms and Data Compression (3 papers), Advanced Measurement and Metrology Techniques (2 papers) and Surface Roughness and Optical Measurements (2 papers). The work is most often cited by research in Artificial Intelligence (162 citations), Human-Computer Interaction (12 citations), Computer Vision and Pattern Recognition (35 citations), Signal Processing (16 citations) and Computational Theory and Mathematics (20 citations). David Llorens has collaborated with scholars based in Spain, Germany and Belgium. Frequent co-authors include Juan Miguel Vilar, Francisco Casacuberta, Enrique Vidal, Andrés Marzal, J.L. Amorós, Víctor Jiménez, Hermann Ney, Sirko Molau, M.J. Orts and Albert Sanchís. Their work appears in journals such as Machine Translation, Natural Language Engineering, Chemical Engineering Science, Language Resources and Evaluation and Software Practice and Experience.

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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