Raymundo Cassani

1.3k total citations
37 papers, 910 citations indexed

About

Raymundo Cassani is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Raymundo Cassani has authored 37 papers receiving a total of 910 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 13 papers in Cardiology and Cardiovascular Medicine and 11 papers in Biomedical Engineering. Recurrent topics in Raymundo Cassani's work include EEG and Brain-Computer Interfaces (20 papers), Heart Rate Variability and Autonomic Control (12 papers) and Non-Invasive Vital Sign Monitoring (11 papers). Raymundo Cassani is often cited by papers focused on EEG and Brain-Computer Interfaces (20 papers), Heart Rate Variability and Autonomic Control (12 papers) and Non-Invasive Vital Sign Monitoring (11 papers). Raymundo Cassani collaborates with scholars based in Canada, United States and Brazil. Raymundo Cassani's co-authors include Tiago H. Falk, Francisco J. Fraga, Rodrigo San-Martin, Mar Estarellas, Renato Anghinah, Abhishek Tiwari, Sébastien Tremblay, Jean‐François Gagnon, Isabela Albuquerque and Paulo Afonso Medeiros Kanda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Sensors and Frontiers in Neuroscience.

In The Last Decade

Raymundo Cassani

35 papers receiving 892 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raymundo Cassani Canada 16 550 169 103 98 80 37 910
Pierpaolo Croce Italy 20 800 1.5× 114 0.7× 106 1.0× 152 1.6× 72 0.9× 45 1.1k
Zeping Lv China 17 291 0.5× 57 0.3× 110 1.1× 118 1.2× 84 1.1× 57 867
Yusuf Özgür Çakmak New Zealand 19 232 0.4× 138 0.8× 53 0.5× 117 1.2× 52 0.7× 74 1.1k
Andrei Medvedev Australia 9 437 0.8× 124 0.7× 112 1.1× 166 1.7× 51 0.6× 14 811
Alexander Craik United States 5 894 1.6× 169 1.0× 53 0.5× 98 1.0× 136 1.7× 9 1.0k
Duo Chen China 11 375 0.7× 72 0.4× 72 0.7× 30 0.3× 42 0.5× 29 601
Lenny Ramsey United States 13 1.6k 2.9× 88 0.5× 169 1.6× 73 0.7× 72 0.9× 17 2.0k
Saber Sami United Kingdom 18 525 1.0× 55 0.3× 158 1.5× 44 0.4× 64 0.8× 42 1.4k
Bin Jing China 18 580 1.1× 82 0.5× 196 1.9× 53 0.5× 131 1.6× 66 1.1k
Noor Kamal Al-Qazzaz Iraq 15 607 1.1× 154 0.9× 110 1.1× 70 0.7× 102 1.3× 40 888

Countries citing papers authored by Raymundo Cassani

Since Specialization
Citations

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

Fields of papers citing papers by Raymundo Cassani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raymundo Cassani

This figure shows the co-authorship network connecting the top 25 collaborators of Raymundo Cassani. A scholar is included among the top collaborators of Raymundo Cassani 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 Raymundo Cassani. Raymundo Cassani 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.
Vincent, Thomas, Laurent Hugueville, Denis Schwartz, et al.. (2025). NIRSTORM: a Brainstorm extension dedicated to functional near-infrared spectroscopy data analysis, advanced 3D reconstructions, and optimal probe design. Neurophotonics. 12(2). 25011–25011.
2.
Cassani, Raymundo, et al.. (2023). Using CNN Saliency Maps and EEG Modulation Spectra for Improved and More Interpretable Machine Learning‐Based Alzheimer’s Disease Diagnosis. Computational Intelligence and Neuroscience. 2023(1). 3198066–3198066. 21 indexed citations
3.
Cassani, Raymundo, et al.. (2021). Multimodal Prediction of Alzheimer's Disease Severity Level Based on Resting-State EEG and Structural MRI. Frontiers in Human Neuroscience. 15. 700627–700627. 19 indexed citations
4.
Trambaiolli, Lucas R., Raymundo Cassani, David Marc Anton Mehler, & Tiago H. Falk. (2021). Neurofeedback and the aging brain: a systematic review of training protocols for dementia and mild cognitive impairment. PsyArXiv (OSF Preprints). 1 indexed citations
5.
Trambaiolli, Lucas R., Raymundo Cassani, David M. A. Mehler, & Tiago H. Falk. (2021). Neurofeedback and the Aging Brain: A Systematic Review of Training Protocols for Dementia and Mild Cognitive Impairment. Frontiers in Aging Neuroscience. 13. 682683–682683. 33 indexed citations
6.
Albuquerque, Isabela, et al.. (2021). Adaptive Filtering for Improved EEG-Based Mental Workload Assessment of Ambulant Users. Frontiers in Neuroscience. 15. 611962–611962. 27 indexed citations
7.
Cassani, Raymundo, et al.. (2020). Virtual reality and non-invasive brain stimulation for rehabilitation applications: a systematic review. Journal of NeuroEngineering and Rehabilitation. 17(1). 147–147. 44 indexed citations
8.
Albuquerque, Isabela, Abhishek Tiwari, Mark Parent, et al.. (2020). WAUC: A Multi-Modal Database for Mental Workload Assessment Under Physical Activity. Frontiers in Neuroscience. 14. 549524–549524. 44 indexed citations
9.
Tiwari, Abhishek, Raymundo Cassani, Jean‐François Gagnon, et al.. (2020). Prediction of Stress and Mental Workload during Police Academy Training Using Ultra-Short-Term Heart Rate Variability and Breathing Analysis. PubMed. 2020. 4530–4533. 17 indexed citations
10.
Cassani, Raymundo, et al.. (2019). Improved motor imagery brain-computer interface performance via adaptive modulation filtering and two-stage classification. Biomedical Signal Processing and Control. 57. 101812–101812. 15 indexed citations
11.
McGeown, William J., et al.. (2019). P2‐364: NEUROANATOMICAL AND NEUROPSYCHOLOGICAL CORRELATES OF RESTING STATE EEG DIAGNOSTIC FEATURES IN PATIENTS WITH ALZHEIMER'S DISEASE. Alzheimer s & Dementia. 15(7S_Part_14). 1 indexed citations
12.
13.
Cassani, Raymundo, Isabela Albuquerque, João Monteiro, & Tiago H. Falk. (2019). AMA: An Open-source Amplitude Modulation Analysis Toolkit for Signal Processing Applications. 1–4. 2 indexed citations
14.
Cassani, Raymundo, Mar Estarellas, Rodrigo San-Martin, Francisco J. Fraga, & Tiago H. Falk. (2018). Systematic Review on Resting-State EEG for Alzheimer’s Disease Diagnosis and Progression Assessment. Disease Markers. 2018. 1–26. 251 indexed citations
15.
Cassani, Raymundo, Shrikanth Narayanan, & Tiago H. Falk. (2018). Respiration Rate Estimation From Noisy Electrocardiograms Based on Modulation Spectral Analysis. 41. 6 indexed citations
16.
17.
Tavera-Mendoza, Luz E., Thomas Westerling, Eric Libby, et al.. (2017). Vitamin D receptor regulates autophagy in the normal mammary gland and in luminal breast cancer cells. Proceedings of the National Academy of Sciences. 114(11). E2186–E2194. 106 indexed citations
18.
Cassani, Raymundo, Tiago H. Falk, Francisco J. Fraga, Paulo Afonso Medeiros Kanda, & Renato Anghinah. (2014). The effects of automated artifact removal algorithms on electroencephalography-based Alzheimer's disease diagnosis. Frontiers in Aging Neuroscience. 6. 55–55. 59 indexed citations
19.
20.
Cassani, Raymundo, et al.. (2011). Adaptive filtering for respiration influence reduction on Heart Rate Variability. 13. 1–5. 3 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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