Bruno Rocha

1.3k total citations · 1 hit paper
27 papers, 567 citations indexed

About

Bruno Rocha is a scholar working on Signal Processing, Pulmonary and Respiratory Medicine and Cognitive Neuroscience. According to data from OpenAlex, Bruno Rocha has authored 27 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Signal Processing, 15 papers in Pulmonary and Respiratory Medicine and 8 papers in Cognitive Neuroscience. Recurrent topics in Bruno Rocha's work include Music and Audio Processing (16 papers), Phonocardiography and Auscultation Techniques (14 papers) and Respiratory and Cough-Related Research (8 papers). Bruno Rocha is often cited by papers focused on Music and Audio Processing (16 papers), Phonocardiography and Auscultation Techniques (14 papers) and Respiratory and Cough-Related Research (8 papers). Bruno Rocha collaborates with scholars based in Portugal, Greece and United States. Bruno Rocha's co-authors include Rui Pedro Paiva, P. Carvalho, Nicos Maglaveras, Alda Marques, Grigorios‐Aris Cheimariotis, Γεώργιος Πετμεζάς, Renato Panda, Justin Salamon, Emília Gómez and Leandros Stefanopoulos and has published in prestigious journals such as Expert Systems with Applications, Sensors and Computer Methods and Programs in Biomedicine.

In The Last Decade

Bruno Rocha

25 papers receiving 531 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.

Automated Lung Sound Classification Using a Hybrid CNN-LSTM Network and Focal Loss Function

2022 99 citations Γεώργιος Πετμεζάς, Grigorios‐Aris Cheimariotis et al. Sensors profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bruno Rocha Portugal	10	350	330	83	80	44	27	567
Yasemin P. Kahya Türkiye	18	881 2.5×	538 1.6×	49 0.6×	54 0.7×	84 1.9×	67	1.0k
Sezer Ulukaya Türkiye	11	241 0.7×	233 0.7×	179 2.2×	15 0.2×	37 0.8×	40	569
Dimitra Emmanouilidou United States	10	212 0.6×	115 0.3×	23 0.3×	82 1.0×	36 0.8×	31	346
Jilong Kuang United States	15	289 0.8×	87 0.3×	40 0.5×	31 0.4×	237 5.4×	80	650
S.M. Debbal Algeria	12	451 1.3×	114 0.3×	37 0.4×	52 0.7×	68 1.5×	46	546
Jer‐Ming Chen Singapore	13	80 0.2×	178 0.5×	111 1.3×	57 0.7×	70 1.6×	45	413
C. Druzgalski United States	11	198 0.6×	83 0.3×	36 0.4×	9 0.1×	30 0.7×	53	326
S. Lukkarinen Finland	9	517 1.5×	155 0.5×	15 0.2×	43 0.5×	56 1.3×	14	582
Morteza Zabihi Finland	11	148 0.4×	205 0.6×	48 0.6×	314 3.9×	54 1.2×	21	663
Γεώργιος Πετμεζάς Greece	8	138 0.4×	76 0.2×	10 0.1×	137 1.7×	70 1.6×	16	438

Countries citing papers authored by Bruno Rocha

Since Specialization

Citations

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

Fields of papers citing papers by Bruno Rocha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bruno Rocha

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Rocha, Bruno. (2025). Language Assistant Programs and CLIL: Developing and Validating Questionnaires to Determine Program Training Needs. Journal of Language Teaching and Research. 16(2). 359–370.

Πετμεζάς, Γεώργιος, Bruno Rocha, Leandros Stefanopoulos, et al.. (2023). Pediatric Respiratory Sound Classification Using a Dual Input Deep Learning Architecture. 1–5. 9 indexed citations

Rocha, Bruno, Γεώργιος Πετμεζάς, Grigorios‐Aris Cheimariotis, et al.. (2023). BRACETS: Bimodal repository of auscultation coupled with electrical impedance thoracic signals. Computer Methods and Programs in Biomedicine. 240. 107720–107720. 12 indexed citations

Rocha, Bruno, Γεώργιος Πετμεζάς, Grigorios‐Aris Cheimariotis, et al.. (2023). Ensemble deep learning model for dimensionless respiratory airflow estimation using respiratory sound. Biomedical Signal Processing and Control. 87. 105451–105451. 3 indexed citations

Rocha, Bruno, et al.. (2023). Automatic Wheeze Segmentation Using Harmonic-Percussive Source Separation and Empirical Mode Decomposition. IEEE Journal of Biomedical and Health Informatics. 27(4). 1926–1934. 9 indexed citations

Frerichs, Inéz, R. Paradiso, Vassilis Kilintzis, et al.. (2023). Wearable pulmonary monitoring system with integrated functional lung imaging and chest sound recording: a clinical investigation in healthy subjects. Physiological Measurement. 44(4). 45002–45002. 8 indexed citations

Wu, Yunan, Bruno Rocha, Evangelos Kaimakamis, et al.. (2023). A deep learning method for predicting the COVID-19 ICU patient outcome fusing X-rays, respiratory sounds, and ICU parameters. Expert Systems with Applications. 235. 121089–121089. 8 indexed citations

Πετμεζάς, Γεώργιος, Grigorios‐Aris Cheimariotis, Leandros Stefanopoulos, et al.. (2022). Automated Lung Sound Classification Using a Hybrid CNN-LSTM Network and Focal Loss Function. Sensors. 22(3). 1232–1232. 99 indexed citations breakdown →

Fernandes, Tiago, et al.. (2022). Classification of Adventitious Respiratory Sound Events: A Stratified Analysis. 1–5. 4 indexed citations

10.

Haris, Kostas, B Vogt, Grigorios‐Aris Cheimariotis, et al.. (2021). Identification and analysis of stable breathing periods in electrical impedance tomography recordings. Physiological Measurement. 42(6). 64003–64003. 7 indexed citations

11.

Rocha, Bruno, Grigorios‐Aris Cheimariotis, Kostas Haris, et al.. (2021). Classification of Electrical Impedance Tomography Data Using Machine Learning. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. 349–353. 7 indexed citations

12.

Rapin, M, Bruno Rocha, Roberto Rusconi, et al.. (2020). A Wearable Stethoscope for Long-Term Ambulatory Respiratory Health Monitoring. Sensors. 20(18). 5124–5124. 37 indexed citations

13.

Rocha, Bruno, et al.. (2020). Automatic Classification of Adventitious Respiratory Sounds: A (Un)Solved Problem?. Sensors. 21(1). 57–57. 53 indexed citations

14.

Rocha, Bruno, Dimitris Filos, Luís Mendes, et al.. (2019). An open access database for the evaluation of respiratory sound classification algorithms. Physiological Measurement. 40(3). 35001–35001. 172 indexed citations

15.

Rocha, Bruno, Renato Panda, & Rui Pedro Paiva. (2014). Music Emotion Recognition: The Importance of Melodic Features. Estudo Geral (Universidade de Coimbra). 7 indexed citations

16.

Rocha, Bruno, Renato Panda, & Rui Pedro Paiva. (2014). Dimensional Music Emotion Recognition: Combining Standard and Melodic Audio Features. Figshare. 7 indexed citations

17.

Rocha, Bruno, et al.. (2014). Segmentation and timbre- and rhythm similarity in Electronic Dance Music. Figshare. 2 indexed citations

18.

Rocha, Bruno, et al.. (2014). Segmentation and Timbre Similarity in Electronic Dance Music. Figshare. 10 indexed citations

19.

Panda, Renato, Ricardo Malheiro, Bruno Rocha, Antônio Pedro Novaes de Oliveira, & Rui Pedro Paiva. (2013). Multi-Modal Music Emotion Recognition: A New Dataset, Methodology and Comparative Analysis. Estudo Geral (Universidade de Coimbra). 570–582. 24 indexed citations

20.

Salamon, Justin, Bruno Rocha, & Emília Gómez. (2012). Musical genre classification using melody features extracted from polyphonic music signals. Figshare. 81–84. 47 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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