Bruno Direito

872 total citations
32 papers, 567 citations indexed

About

Bruno Direito is a scholar working on Cognitive Neuroscience, Signal Processing and Psychiatry and Mental health. According to data from OpenAlex, Bruno Direito has authored 32 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cognitive Neuroscience, 11 papers in Signal Processing and 8 papers in Psychiatry and Mental health. Recurrent topics in Bruno Direito's work include EEG and Brain-Computer Interfaces (19 papers), Functional Brain Connectivity Studies (15 papers) and Blind Source Separation Techniques (11 papers). Bruno Direito is often cited by papers focused on EEG and Brain-Computer Interfaces (19 papers), Functional Brain Connectivity Studies (15 papers) and Blind Source Separation Techniques (11 papers). Bruno Direito collaborates with scholars based in Portugal, Germany and United Kingdom. Bruno Direito's co-authors include António Dourado, César Teixeira, Miguel Castelo‐Branco, Francisco Sales, Mojtaba Bandarabadi, Michel Le Van Quyen, B. Schelter, Mario Valderrama, Andreas Schulze‐Bonhage and Teresa Sousa and has published in prestigious journals such as PLoS ONE, Scientific Reports and Neuroscience.

In The Last Decade

Bruno Direito

32 papers receiving 557 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bruno Direito Portugal 13 515 165 156 85 66 32 567
Mengni Zhou China 8 542 1.1× 115 0.7× 185 1.2× 127 1.5× 53 0.8× 21 625
Tarek Lajnef Canada 14 572 1.1× 76 0.5× 114 0.7× 71 0.8× 62 0.9× 24 673
Louis Maillard France 13 465 0.9× 178 1.1× 147 0.9× 56 0.7× 121 1.8× 28 605
Tilmann Kluge Austria 15 525 1.0× 228 1.4× 134 0.9× 83 1.0× 158 2.4× 42 656
Katerina D. Tzimourta Greece 14 622 1.2× 108 0.7× 106 0.7× 150 1.8× 69 1.0× 40 792
Jalil Rasekhi Iran 6 404 0.8× 144 0.9× 175 1.1× 74 0.9× 41 0.6× 9 431
Petr Nejedlý Czechia 16 428 0.8× 152 0.9× 52 0.3× 194 2.3× 111 1.7× 37 613
Matthias Ihle Germany 8 493 1.0× 236 1.4× 132 0.8× 69 0.8× 106 1.6× 11 567
Isabell Kiral-Kornek Australia 7 344 0.7× 91 0.6× 73 0.5× 34 0.4× 64 1.0× 9 410
Beomjun Min South Korea 9 371 0.7× 117 0.7× 142 0.9× 39 0.5× 33 0.5× 14 476

Countries citing papers authored by Bruno Direito

Since Specialization
Citations

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

Fields of papers citing papers by Bruno Direito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bruno Direito

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

All Works

20 of 20 papers shown
1.
Direito, Bruno, et al.. (2025). Music in the loop: a systematic review of current neurofeedback methodologies using music. Frontiers in Neuroscience. 19. 1515377–1515377. 1 indexed citations
2.
Almeida, Inês, César F. Lima, Renato Panda, et al.. (2024). Decoding Musical Valence and Arousal: Exploring the Neural Correlates of Music-Evoked Emotions and the Role of Expressivity Features. IEEE Transactions on Affective Computing. 16(2). 1247–1259. 2 indexed citations
3.
Direito, Bruno, et al.. (2024). Neurofeedback training of executive function in autism spectrum disorder: distinct effects on brain activity levels and compensatory connectivity changes. Journal of Neurodevelopmental Disorders. 16(1). 14–14. 3 indexed citations
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6.
Direito, Bruno, et al.. (2023). Assessing MR-compatibility of somatosensory stimulation devices: A systematic review on testing methodologies. Frontiers in Neuroscience. 17. 1071749–1071749. 3 indexed citations
7.
Direito, Bruno, et al.. (2023). Multimodal assessment of the spatial correspondence between fNIRS and fMRI hemodynamic responses in motor tasks. Scientific Reports. 13(1). 2244–2244. 22 indexed citations
8.
Macedo, António, et al.. (2023). Neurofeedback-dependent influence of the ventral striatum using a working memory paradigm targeting the dorsolateral prefrontal cortex. Frontiers in Behavioral Neuroscience. 17. 1014223–1014223. 4 indexed citations
9.
Direito, Bruno, et al.. (2021). Directly Exploring the Neural Correlates of Feedback-Related Reward Saliency and Valence During Real-Time fMRI-Based Neurofeedback. Frontiers in Human Neuroscience. 14. 578119–578119. 5 indexed citations
10.
Simões, Marco, Rodolfo Abreu, Bruno Direito, et al.. (2020). How much of the BOLD-fMRI signal can be approximated from simultaneous EEG data: relevance for the transfer and dissemination of neurofeedback interventions. Journal of Neural Engineering. 17(4). 46007–46007. 11 indexed citations
11.
Fernandes, Tiago, et al.. (2020). The boundaries of state-space Granger causality analysis applied to BOLD simulated data: A comparative modelling and simulation approach. Journal of Neuroscience Methods. 341. 108758–108758. 3 indexed citations
12.
Direito, Bruno, et al.. (2020). Volitional Modulation of the Left DLPFC Neural Activity Based on a Pain Empathy Paradigm—A Potential Novel Therapeutic Target for Pain. Frontiers in Neurology. 11. 714–714. 11 indexed citations
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14.
Direito, Bruno, João L. M. P. de Lima, Marco Simões, et al.. (2019). Targeting dynamic facial processing mechanisms in superior temporal sulcus using a novel fMRI neurofeedback target. Neuroscience. 406. 97–108. 20 indexed citations
15.
Simões, Marco, Bruno Direito, João L. M. P. de Lima, et al.. (2017). Correlated alpha activity with the facial expression processing network in a simultaneous EEG-fMRI experiment. PubMed. 2017. 2562–2565. 1 indexed citations
16.
Teixeira, César, Bruno Direito, Mojtaba Bandarabadi, et al.. (2014). Epileptic seizure predictors based on computational intelligence techniques: A comparative study with 278 patients. Computer Methods and Programs in Biomedicine. 114(3). 324–336. 105 indexed citations
17.
Direito, Bruno, César Teixeira, Bernardete Ribeiro, Miguel Castelo‐Branco, & António Dourado. (2012). Space time frequency (STF) code tensor for the characterization of the epileptic preictal stage. PubMed. 2012. 621–624. 2 indexed citations
18.
Direito, Bruno, César Teixeira, Bernardete Ribeiro, et al.. (2012). Modeling epileptic brain states using EEG spectral analysis and topographic mapping. Journal of Neuroscience Methods. 210(2). 220–229. 34 indexed citations
19.
Teixeira, César, Bruno Direito, Rui Ponte Costa, et al.. (2010). A computational environment for long-term multi-feature and multi-algorithm seizure prediction. PubMed. 5164. 6341–6344. 3 indexed citations
20.
Direito, Bruno, António Dourado, Marco Vieira, & Francisco Sales. (2008). Combining Energy and Wavelet Transform for Epileptic Seizure Prediction in an Advanced Computational System. Zenodo (CERN European Organization for Nuclear Research). 380–385. 10 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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