Antonio Cardenal-López

508 total citations · 1 hit paper
8 papers, 333 citations indexed

About

Antonio Cardenal-López is a scholar working on Artificial Intelligence, Ecology and Signal Processing. According to data from OpenAlex, Antonio Cardenal-López has authored 8 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Ecology and 3 papers in Signal Processing. Recurrent topics in Antonio Cardenal-López's work include Speech Recognition and Synthesis (4 papers), Marine animal studies overview (3 papers) and Speech and Audio Processing (3 papers). Antonio Cardenal-López is often cited by papers focused on Speech Recognition and Synthesis (4 papers), Marine animal studies overview (3 papers) and Speech and Audio Processing (3 papers). Antonio Cardenal-López collaborates with scholars based in Spain. Antonio Cardenal-López's co-authors include Soledad Torres, Antonio Pena, Carmén García Mateo and Laura Docío-Fernández and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and Speech Communication.

In The Last Decade

Antonio Cardenal-López

8 papers receiving 317 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

ShipsEar: An underwater vessel noise database

2016 277 citations Soledad Torres, Antonio Cardenal-López et al. Applied Acoustics profile →

Peers

Antonio Cardenal-López

OCEAN

SP

OE

AI

ECOLO

Haiqiang Niu China

Feng Hong China

François-Xavier Socheleau France

Paulo Felisberto Portugal

Sung‒Hoon Byun South Korea

S.P. Beerens Netherlands

Robert Been Belgium

Cheng Chi China

Jingjing Pan China

Wenwei Ying China

Haiqiang Niu China

Antonio Cardenal-López

584 ×2.3

OCEAN

360 ×2.0

SP

374 ×3.6

OE

63 ×1.1

AI

111 ×2.1

ECOLO

Citations per year, relative to Antonio Cardenal-López Antonio Cardenal-López (= 1×) peers Haiqiang Niu

Countries citing papers authored by Antonio Cardenal-López

Since Specialization

Citations

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

Fields of papers citing papers by Antonio Cardenal-López

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antonio Cardenal-López. 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 Antonio Cardenal-López. The network helps show where Antonio Cardenal-López may publish in the future.

Co-authorship network of co-authors of Antonio Cardenal-López

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Cardenal-López. A scholar is included among the top collaborators of Antonio Cardenal-López 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 Antonio Cardenal-López. Antonio Cardenal-López is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Docío-Fernández, Laura, et al.. (2018). Using Discrete Wavelet Transform to Model Whistle Contours for Dolphin Species Classification. SHILAP Revista de lepidopterología. 1183–1183. 1 indexed citations

2.

Torres, Soledad, et al.. (2016). ShipsEar: An underwater vessel noise database. Applied Acoustics. 113. 64–69. 277 indexed citations breakdown →

3.

Cardenal-López, Antonio, et al.. (2014). Using Gaussian mixture models to detect and classify dolphin whistles and pulses. The Journal of the Acoustical Society of America. 135(6). 3371–3380. 24 indexed citations

4.

Cardenal-López, Antonio, Carmén García Mateo, & Laura Docío-Fernández. (2006). Weighted Viterbi decoding strategies for distributed speech recognition over IP networks. Speech Communication. 48(11). 1422–1434. 3 indexed citations

5.

Mateo, Carmén García, et al.. (2006). Adaptation Strategies for the Acoustic and Language Models in Bilingual Speech Transcription. 1. 833–836. 1 indexed citations

6.

Mateo, Carmén García, et al.. (2005). Effective topic-tree based language model adaptation. 1289–1292. 1 indexed citations

7.

Cardenal-López, Antonio, Laura Docío-Fernández, & Carmén García Mateo. (2004). Soft decoding strategies for distributed speech recognition over IP networks. 1. I–49. 11 indexed citations

8.

Cardenal-López, Antonio, et al.. (2002). Fast LM look-ahead for large vocabulary continuous speech recognition using perfect hashing. IEEE International Conference on Acoustics Speech and Signal Processing. I–705. 15 indexed citations

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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