Hugo Gambôa

3.7k total citations · 1 hit paper
171 papers, 2.2k citations indexed

About

Hugo Gambôa is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine and Cognitive Neuroscience. According to data from OpenAlex, Hugo Gambôa has authored 171 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Biomedical Engineering, 28 papers in Cardiology and Cardiovascular Medicine and 28 papers in Cognitive Neuroscience. Recurrent topics in Hugo Gambôa's work include Time Series Analysis and Forecasting (19 papers), EEG and Brain-Computer Interfaces (18 papers) and ECG Monitoring and Analysis (16 papers). Hugo Gambôa is often cited by papers focused on Time Series Analysis and Forecasting (19 papers), EEG and Brain-Computer Interfaces (18 papers) and ECG Monitoring and Analysis (16 papers). Hugo Gambôa collaborates with scholars based in Portugal, United States and Spain. Hugo Gambôa's co-authors include Ana Fred, Duarte Folgado, Marília Barandas, Tanja Schultz, Hui Liu, Sara Santos, João Rodrigues, Patrícia Bota, Hugo Silva and Mariana Abreu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Advanced Functional Materials.

In The Last Decade

Hugo Gambôa

159 papers receiving 2.1k 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.

TSFEL: Time Series Feature Extraction Library

2020 309 citations Marília Barandas, Duarte Folgado et al. profile →

Peers

Hugo Gambôa

BE

AI

SP

CVPR

CCM

Miad Faezipour United States

Arpan Pal India

Enas Abdulhay Jordan

Nuno M. García Portugal

Yuan Zhang China

M. Shamim Kaiser Bangladesh

Armando Barreto United States

Wanqing Wu China

Debi Prosad Dogra India

Mohit Kumar India

Miad Faezipour United States

Hugo Gambôa

624 ×1.2

BE

775 ×1.8

AI

438 ×1.1

SP

300 ×0.8

CVPR

393 ×1.1

CCM

Citations per year, relative to Hugo Gambôa Hugo Gambôa (= 1×) peers Miad Faezipour

Countries citing papers authored by Hugo Gambôa

Since Specialization

Citations

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

Fields of papers citing papers by Hugo Gambôa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hugo Gambôa

This figure shows the co-authorship network connecting the top 25 collaborators of Hugo Gambôa. A scholar is included among the top collaborators of Hugo Gambôa 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 Hugo Gambôa. Hugo Gambôa 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

1.

Rodrigues, João, et al.. (2024). Introducing Mplots: scaling time series recurrence plots to massive datasets. Journal Of Big Data. 11(1). 2 indexed citations

2.

Martins, Pedro, Paulo Paixão, Iolanda Caires, et al.. (2023). Diagnosis of COVID-19 by sound-based analysis of vocal recordings. Pulmonology. 29(6). 455–456.

3.

Carvalho, Diogo Teixeira, Luís Silva, Miguel Carvalho, et al.. (2023). Heart rate variability during repetitive work in the presence of fatigue. AHFE international. 1 indexed citations

4.

Silva, Luís, et al.. (2022). Human-Centered Explainable Artificial Intelligence: Automotive Occupational Health Protection Profiles in Prevention Musculoskeletal Symptoms. International Journal of Environmental Research and Public Health. 19(15). 9552–9552. 8 indexed citations

5.

Silva, Hugo, et al.. (2022). Equivalent Pipeline Processing for IR-UWB and FMCW Radar Comparison in Vital Signs Monitoring Applications. IEEE Sensors Journal. 22(12). 12028–12035. 6 indexed citations

6.

Barandas, Marília, et al.. (2022). Comparing Handcrafted Features and Deep Neural Representations for Domain Generalization in Human Activity Recognition. Sensors. 22(19). 7324–7324. 14 indexed citations

7.

Rodrigues, João, et al.. (2022). Occupational health knowledge discovery based on association rules applied to workers’ body parts protection: a case study in the automotive industry. Computer Methods in Biomechanics & Biomedical Engineering. 26(15). 1875–1888. 1 indexed citations

8.

Carreiro, André V., Hugo Gambôa, Inês Sousa, et al.. (2022). Clinically Relevant Sound-Based Features in COVID-19 Identification: Robustness Assessment With a Data-Centric Machine Learning Pipeline. IEEE Access. 10. 105149–105168. 3 indexed citations

9.

Rodrigues, João, et al.. (2022). Feature-Based Information Retrieval of Multimodal Biosignals with a Self-Similarity Matrix: Focus on Automatic Segmentation. Biosensors. 12(12). 1182–1182. 29 indexed citations

10.

Rodrigues, João, et al.. (2022). Attention Classification Based on Biosignals during Standard Cognitive Tasks for Occupational Domains. Computers. 11(4). 49–49. 8 indexed citations

11.

Barandas, Marília, et al.. (2020). Learning Human Behaviour Patterns by Trajectory and Activity Recognition. 220–227. 1 indexed citations

12.

Santos, Sara, et al.. (2020). Explaining the Ergonomic Assessment of Human Movement in Industrial Contexts. 79–88. 4 indexed citations

13.

Silva, Hugo, et al.. (2019). Latent: A Flexible Data Collection Tool to Research Human Behavior in the Context of Web Navigation. IEEE Access. 7. 77659–77673. 7 indexed citations

14.

Alfaras, Miquel, et al.. (2019). Ring-Topology Echo State Networks for ICU Sepsis Classification. Repositori UJI (Universitat Jaume I). 9005810. 1 indexed citations

15.

Rodrigues, João, et al.. (2018). SSTS: A syntactic tool for pattern search on time series. Information Processing & Management. 56(1). 61–76. 15 indexed citations

16.

Matias, Ricardo, et al.. (2016). Body Location Independent Activity Monitoring. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 190–197. 13 indexed citations

17.

Amma, Christoph, et al.. (2013). Activity Recognition for an Intelligent Knee Orthosis. 5 indexed citations

18.

Fred, Ana, Joaquim Filipe, & Hugo Gambôa. (2008). Biomedical engineering systems and technologies : international joint conference, BIOSTEC 2008, Funchal, Madeira, Portugal, January 28-31, 2008 : revised selected papers. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 4 indexed citations

19.

Gambôa, Hugo, et al.. (2003). Widam - Web Interaction Display and Monitoring.. International Conference on Enterprise Information Systems. 21–27. 7 indexed citations

20.

Gambôa, Hugo & Ana Fred. (2001). Designing Intelligent Tutoring Systems: A Bayesian Approach.. International Conference on Enterprise Information Systems. 452–458. 43 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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