Javier Hernando

2.9k citations
118 papers · 1.7k · h-index 21

Impact in

Papers in

Javier Hernando

113 papers receiving 1.6k citations

Peers

Javier Hernando
Comparison fields: 5 of 99
  • Signal Processing 1.3k
  • Artificial Intelligence 1.1k
  • Computer Vision and Pattern Recognition 339
  • Experimental and Cognitive Psychology 108
  • Developmental Biology 16
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Douglas Sturim United States
Kris Demuynck Belgium
Corinne Fredouille France
PC Woodland United Kingdom
Vijayaditya Peddinti United States
JJ Odell
Joseph P. Campbell United States
Jouni Pohjalainen Finland
Guillaume Gravier France
Sid‐Ahmed Selouani Canada
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Citations per field
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Citations per year

Countries citing papers authored by Javier Hernando

Since Specialization
Citations

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

Fields of papers citing papers by Javier Hernando

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Javier Hernando, 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 Javier Hernando Line = papers co-authored together Javier Hernando links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007275
2 2007153
3 200180
4 201979
5 201571
6 199558
7 200754
8 201453
9 200953
10 199748
11 200540
12 201728
13 201127
14 201027
15 200226
16 201224
17 200622
18 201221
19 201121
20 201621

About Javier Hernando

Javier Hernando is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Mechanics and Electrical and Electronic Engineering, having authored 118 papers that have together received 1.7k indexed citations. Recurring topics across this work include Speech and Audio Processing (84 papers), Speech Recognition and Synthesis (75 papers), Music and Audio Processing (54 papers), Advanced Data Compression Techniques (11 papers), Natural Language Processing Techniques (9 papers), Advanced Adaptive Filtering Techniques (8 papers), Indoor and Outdoor Localization Technologies (8 papers) and Video Surveillance and Tracking Methods (8 papers). The work is most often cited by research in Signal Processing (1.3k citations), Artificial Intelligence (1.1k citations), Computer Vision and Pattern Recognition (339 citations), Experimental and Cognitive Psychology (108 citations) and Developmental Biology (16 citations). Javier Hernando has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Xavier Anguera, Chuck Wooters, Climent Nadeu, Mireia Farrús, Carlos Segura, Pooyan Safari, Dušan Macho, Jordi Luque, Carles Fernández and Josep R. Casas. Their work appears in journals such as Applied Sciences, IEEE Transactions on Audio Speech and Language Processing, Speech Communication, Computer Speech & Language and Applied Intelligence.

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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