Fernando Díaz-de-María

1.3k total citations
92 papers, 810 citations indexed

About

Fernando Díaz-de-María is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Fernando Díaz-de-María has authored 92 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Computer Vision and Pattern Recognition, 54 papers in Signal Processing and 27 papers in Artificial Intelligence. Recurrent topics in Fernando Díaz-de-María's work include Video Coding and Compression Technologies (28 papers), Advanced Vision and Imaging (22 papers) and Advanced Data Compression Techniques (20 papers). Fernando Díaz-de-María is often cited by papers focused on Video Coding and Compression Technologies (28 papers), Advanced Vision and Imaging (22 papers) and Advanced Data Compression Techniques (20 papers). Fernando Díaz-de-María collaborates with scholars based in Spain, United States and Germany. Fernando Díaz-de-María's co-authors include Eduardo Martínez-Enríquez, Iván González-Díaz, Carmen Peláez-Moreno, Ascensión Gallardo-Antolín, Amaya Jiménez-Moreno, Juan Ignacio Godino-Llorente, Patricia Henríquez, Carlos M. Travieso, Jesús B. Alonso and Miguel A. Ferrer and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Signal Processing and Expert Systems with Applications.

In The Last Decade

Fernando Díaz-de-María

88 papers receiving 756 citations

Peers

Fernando Díaz-de-María
Comparison fields: 5 of 99
  • Signal Processing 449
  • Computer Vision and Pattern Recognition 430
  • Artificial Intelligence 319
  • Physiology 74
  • Experimental and Cognitive Psychology 49
Replace Korbinian Riedhammer with:
Korbinian Riedhammer Germany
Awais Mahmood Saudi Arabia
Aggelos Pikrakis Greece
Shuang Xu China
Anastasis Kounoudes Greece
Kyogu Lee South Korea
P. Nguyen United States
Xiaodan Zhuang United States
Terri Kamm United States
Korbinian Riedhammer Germany View profile →
Citations per field, relative to Fernando Díaz-de-María
Fernando Díaz-de-María · 1×
Citations per year, relative to Fernando Díaz-de-María
Fernando Díaz-de-María · 1×

Countries citing papers authored by Fernando Díaz-de-María

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Díaz-de-María

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando Díaz-de-María. 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 Fernando Díaz-de-María. The network helps show where Fernando Díaz-de-María may publish in the future.

Co-authorship network of co-authors of Fernando Díaz-de-María

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Díaz-de-María. A scholar is included among the top collaborators of Fernando Díaz-de-María 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 Fernando Díaz-de-María. Fernando Díaz-de-María 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
# Work Indexed citations
1 3
2 1
3 1
4 1
5 8
6 7
7 9
8 2
9 3
10 11
11 32
12 20
13 8
14 9
15 18
16 1
17 30
18 4
19
Support Vector Machines for continuous speech recognition
20
20
Some experiments on speaker-independent isolated digit recognition using SVM classifiers.
5

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026