Antonio Pertusa

1.8k total citations · 1 hit paper
32 papers, 892 citations indexed

About

Antonio Pertusa is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Antonio Pertusa has authored 32 papers receiving a total of 892 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 20 papers in Signal Processing and 9 papers in Artificial Intelligence. Recurrent topics in Antonio Pertusa's work include Music and Audio Processing (20 papers), Speech and Audio Processing (12 papers) and Music Technology and Sound Studies (11 papers). Antonio Pertusa is often cited by papers focused on Music and Audio Processing (20 papers), Speech and Audio Processing (12 papers) and Music Technology and Sound Studies (11 papers). Antonio Pertusa collaborates with scholars based in Spain, United Kingdom and Austria. Antonio Pertusa's co-authors include Antonio‐Javier Gallego, Aurelia Bustos, José María Salinas, María de la Iglesia-Vayá, Pablo Gil, José M. Iñesta, Jorge Calvo-Zaragoza, Robert B. Fisher, Mario Nieto-Hidalgo and Thomas Lidy and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Expert Systems with Applications.

In The Last Decade

Antonio Pertusa

29 papers receiving 855 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.

PadChest: A large chest x-ray image dataset with multi-label annotated reports

2020 341 citations Aurelia Bustos, Antonio Pertusa et al. Medical Image Analysis profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Antonio Pertusa Spain	14	363	282	249	225	92	32	892
Ghada Atteia Saudi Arabia	16	162 0.4×	157 0.6×	212 0.9×	17 0.1×	21 0.2×	45	657
Mohammad Javad Shafiee Canada	14	291 0.8×	147 0.5×	122 0.5×	11 0.0×	24 0.3×	56	579
Weiling Chen China	18	649 1.8×	64 0.2×	81 0.3×	37 0.2×	6 0.1×	87	1.1k
Zhenghao Shi China	13	296 0.8×	166 0.6×	139 0.6×	27 0.1×	3 0.0×	69	695
Yongjun He China	17	157 0.4×	82 0.3×	318 1.3×	66 0.3×	5 0.1×	77	963
Pedro O. Pinheiro Canada	9	691 1.9×	57 0.2×	366 1.5×	30 0.1×	3 0.0×	13	968
Xiaohui Yang China	14	215 0.6×	16 0.1×	125 0.5×	40 0.2×	52 0.6×	71	612
Junwei Duan China	14	150 0.4×	40 0.1×	136 0.5×	17 0.1×	11 0.1×	52	480
Xiaokang Chen China	11	846 2.3×	184 0.7×	408 1.6×	18 0.1×	3 0.0×	38	1.2k

Countries citing papers authored by Antonio Pertusa

Since Specialization

Citations

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

Fields of papers citing papers by Antonio Pertusa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio Pertusa

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

All Works

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20 of 20 papers shown

Gallego, Antonio‐Javier, et al.. (2024). Few-shot learning for COVID-19 chest X-ray classification with imbalanced data: an inter vs. intra domain study. Pattern Analysis and Applications. 27(3). 6 indexed citations

Valero-Mas, Jose J., et al.. (2024). MUSCAT: A Multimodal mUSic Collection for Automatic Transcription of Real Recordings and Image Scores. 583–591. 1 indexed citations

Gallego, Antonio‐Javier, et al.. (2024). Multi‐label logo recognition and retrieval based on weighted fusion of neural features. Expert Systems. 41(10). 1 indexed citations

Valero-Mas, Jose J., et al.. (2022). Neural Audio-To-Score Music Transcription For Unconstrained Polyphony Using Compact Output Representations. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 4603–4607. 4 indexed citations

Bustos, Aurelia, Antonio Pertusa, José María Salinas, & María de la Iglesia-Vayá. (2020). PadChest: A large chest x-ray image dataset with multi-label annotated reports. Medical Image Analysis. 66. 101797–101797. 341 indexed citations breakdown →

Pertusa, Antonio, et al.. (2020). Data representations for audio-to-score monophonic music transcription. Expert Systems with Applications. 162. 113769–113769. 9 indexed citations

Gallego, Antonio‐Javier, Pablo Gil, Antonio Pertusa, & Robert B. Fisher. (2019). Semantic Segmentation of SLAR Imagery with Convolutional LSTM Selectional AutoEncoders. Remote Sensing. 11(12). 1402–1402. 24 indexed citations

Pertusa, Antonio, et al.. (2018). An End-to-end Framework for Audio-to-Score Music Transcription on Monophonic Excerpts. International Symposium/Conference on Music Information Retrieval. 34–41. 16 indexed citations

Gallego, Antonio‐Javier, Antonio Pertusa, & Pablo Gil. (2018). Automatic Ship Classification from Optical Aerial Images with Convolutional Neural Networks. Remote Sensing. 10(4). 511–511. 125 indexed citations

10.

Gallego, Antonio‐Javier, Pablo Gil, Antonio Pertusa, & Robert B. Fisher. (2018). Segmentation of Oil Spills on Side-Looking Airborne Radar Imagery with Autoencoders. Sensors. 18(3). 797–797. 28 indexed citations

11.

Pertusa, Antonio, et al.. (2018). MirBot: A collaborative object recognition system for smartphones using convolutional neural networks. Neurocomputing. 293. 87–99. 9 indexed citations

12.

Gallego, Antonio‐Javier, et al.. (2017). Oil Slicks Detection in SLAR Images with Autoencoders. SHILAP Revista de lepidopterología. 820–820. 2 indexed citations

13.

Pertusa, Antonio & José M. Iñesta. (2012). Efficient methods for joint estimation of multiple fundamental frequencies in music signals. EURASIP Journal on Advances in Signal Processing. 2012(1). 10 indexed citations

14.

Pertusa, Antonio & José M. Iñesta. (2009). Note onset detection using one semitone filter-bank for MIREX 2009. RUA, Repositorio Institucional de la Universidad de Alicante (Universidad de Alicante). 1 indexed citations

15.

Lidy, Thomas, et al.. (2008). Audio music classification using a combination of spectral, timbral, rhythmic, temporal and symbolic features. RUA, Repositorio Institucional de la Universidad de Alicante (Universidad de Alicante). 1 indexed citations

16.

Lidy, Thomas, Andreas Rauber, Antonio Pertusa, & José M. Iñesta. (2007). Improving Genre Classification By Combination Of Audio And Symbolic Descriptors Using A Transcription Systems.. Zenodo (CERN European Organization for Nuclear Research). 61–66. 54 indexed citations

17.

Rizo, David, et al.. (2006). Melody Track Identification in Music Symbolic Files.. The Florida AI Research Society. 254–259. 1 indexed citations

18.

Rizo, David, et al.. (2006). A Pattern Recognition Approach For Melody Track Selection In Midi Files.. Zenodo (CERN European Organization for Nuclear Research). 61–66. 22 indexed citations

19.

Pertusa, Antonio & José M. Iñesta. (2005). Polyphonic monotimbral music transcription using dynamic networks. Pattern Recognition Letters. 26(12). 1809–1818. 4 indexed citations

20.

Pertusa, Antonio & José M. Iñesta. (2004). Pattern recognition algorithms for polyphonic music transcription. 80–89. 2 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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