Alejandro Gomez-Alanis

438 citations
14 papers · 300 · h-index 8

Impact in

Papers in

    • Speech Recognition and Synthesis 12
    • Speech and dialogue systems 2
    • Cryptographic Implementations and Security 1
    • Speech and Audio Processing 9
    • Music and Audio Processing 6

Alejandro Gomez-Alanis

13 papers receiving 293 citations

Peers

Alejandro Gomez-Alanis
Comparison fields: 5 of 31
  • Signal Processing 221
  • Artificial Intelligence 206
  • Human-Computer Interaction 17
  • Computer Vision and Pattern Recognition 51
  • Pharmacy 9
Replace M. A. Anusuya with:
M. A. Anusuya India
José L. Pérez-Córdoba Spain
Heinrich Dinkel China
Hannah Muckenhirn Switzerland
A. Revathi India
Piotr Żelasko United States
Simon Bozonnet France
Jakub Gałka Poland
Hideki Kashioka Japan
Andrew Morris Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Alejandro Gomez-Alanis

Since Specialization
Citations

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

Fields of papers citing papers by Alejandro Gomez-Alanis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alejandro Gomez-Alanis. 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 Alejandro Gomez-Alanis. The network helps show where Alejandro Gomez-Alanis may publish in the future.

Co-authors

The 15 scholars most cited alongside Alejandro Gomez-Alanis, 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 Alejandro Gomez-Alanis Line = papers co-authored together Alejandro Gomez-Alanis links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 202081
2 201965
3 201941
4 202036
5 202027
6 202214
7 202313
8 201811
9 20217
10 20222
11 20221
12 20241
13 20221
14 20220

About Alejandro Gomez-Alanis

Alejandro Gomez-Alanis is a scholar working on Artificial Intelligence, Signal Processing, Aerospace Engineering, Astronomy and Astrophysics and Information Systems, having authored 14 papers that have together received 300 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (12 papers), Speech and Audio Processing (9 papers), Music and Audio Processing (6 papers), Speech and dialogue systems (2 papers), Radar Systems and Signal Processing (1 paper), Cryptographic Implementations and Security (1 paper), EEG and Brain-Computer Interfaces (1 paper) and Digital Media Forensic Detection (1 paper). The work is most often cited by research in Signal Processing (221 citations), Artificial Intelligence (206 citations), Human-Computer Interaction (17 citations), Computer Vision and Pattern Recognition (51 citations) and Pharmacy (9 citations). Alejandro Gomez-Alanis has collaborated with scholars based in Spain, Germany and Switzerland. Frequent co-authors include José A. González, Antonio M. Peinado, Ángel M. Gómez, Juan M. Martín-Doñas, José L. Pérez-Córdoba, Mathew Magimai.-Doss, Andreas Schwarz, L. Rädel, Simon Wiesler and Phil Green. Their work appears in journals such as IEEE Access, Applied Sciences, IEEE Transactions on Information Forensics and Security, IEEE/ACM Transactions on Audio Speech and Language Processing and Institutional Repository of the University of Granada (University of Granada).

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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