Stefano Tortora

562 total citations
25 papers, 365 citations indexed

About

Stefano Tortora is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Rehabilitation. According to data from OpenAlex, Stefano Tortora has authored 25 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 14 papers in Biomedical Engineering and 9 papers in Rehabilitation. Recurrent topics in Stefano Tortora's work include EEG and Brain-Computer Interfaces (14 papers), Muscle activation and electromyography studies (12 papers) and Stroke Rehabilitation and Recovery (9 papers). Stefano Tortora is often cited by papers focused on EEG and Brain-Computer Interfaces (14 papers), Muscle activation and electromyography studies (12 papers) and Stroke Rehabilitation and Recovery (9 papers). Stefano Tortora collaborates with scholars based in Italy, Switzerland and Ireland. Stefano Tortora's co-authors include Emanuele Menegatti, Silvestro Micera, Carmelo Chisari, Fiorenzo Artoni, Luca Tonin, Stefano Ghidoni, Georg Rauter, Robert Riener, Alessandra Del Felice and Maria Rubega and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Neural Systems and Rehabilitation Engineering.

In The Last Decade

Stefano Tortora

22 papers receiving 359 citations

Peers

Stefano Tortora

REHAB

CMN

Jiangcheng Chen China

Aberham Genetu Feleke China

Ali Farshchiansadegh United States

Kai Gui China

Maged S. Al-Quraishi Malaysia

Eric Rombokas United States

Daohui Zhang China

Emilio Andreozzi Italy

Vijaykumar Rajasekaran United Kingdom

Raviraj Nataraj United States

Jiangcheng Chen China

Stefano Tortora

124 ×0.6

286 ×1.6

89 ×1.0

REHAB

56 ×1.0

36 ×0.7

CMN

Citations per year, relative to Stefano Tortora Stefano Tortora (= 1×) peers Jiangcheng Chen

Countries citing papers authored by Stefano Tortora

Since Specialization

Citations

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

Fields of papers citing papers by Stefano Tortora

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Tortora

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

Tortora, Stefano, et al.. (2025). A scoping review on lower limb exoskeleton actuation’s description and characteristics. Robotica. 43(4). 1572–1589. 1 indexed citations

Tortora, Stefano, et al.. (2025). The Effect of User Learning for Online EEG Decoding of Upper-Limb Movement Intention. IEEE Transactions on Medical Robotics and Bionics. 7(2). 633–641.

Giordano, Luca, Stefano Tortora, Emanuele Menegatti, et al.. (2024). A muscle synergies-based controller to drive a powered upper-limb exoskeleton in reaching tasks. SHILAP Revista de lepidopterología. 5. e14–e14. 4 indexed citations

Tortora, Stefano, et al.. (2024). Environment-Adaptive Gait Planning for Obstacle Avoidance in Lower-Limb Robotic Exoskeletons. Research Padua Archive (University of Padua). 13640–13647.

Tortora, Stefano, Luca Tonin, Rupert Ortner, et al.. (2023). Effect of Lower Limb Exoskeleton on the Modulation of Neural Activity and Gait Classification. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 2988–3003. 16 indexed citations

Tortora, Stefano, et al.. (2023). EEG-based self-paced decoding of upper limb movement intention in healthy subjects. Research Padua Archive (University of Padua). 1033–1038. 1 indexed citations

Tortora, Stefano, Emanuela Formaggio, Maria Rubega, et al.. (2022). Neural correlates of user learning during long-term BCI training for the Cybathlon competition. Journal of NeuroEngineering and Rehabilitation. 19(1). 69–69. 12 indexed citations

Tonin, Luca, et al.. (2022). ROS-Neuro: An Open-Source Platform for Neurorobotics. Frontiers in Neurorobotics. 16. 886050–886050. 12 indexed citations

Tortora, Stefano, et al.. (2022). Continuous Teleoperation of a Robotic Manipulator via Brain-Machine Interface with Shared Control. 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA). 1–8. 2 indexed citations

10.

Marco, Roberto Di, Maria Rubega, Olive Lennon, et al.. (2021). Experimental Protocol to Assess Neuromuscular Plasticity Induced by an Exoskeleton Training Session. Methods and Protocols. 4(3). 48–48. 11 indexed citations

11.

Rubega, Maria, Emanuela Formaggio, Roberto Di Marco, et al.. (2021). Cortical correlates in upright dynamic and static balance in the elderly. Scientific Reports. 11(1). 14132–14132. 27 indexed citations

12.

Tortora, Stefano, Stefano Ghidoni, Carmelo Chisari, Silvestro Micera, & Fiorenzo Artoni. (2020). Deep learning-based BCI for gait decoding from EEG with LSTM recurrent neural network. Journal of Neural Engineering. 17(4). 46011–46011. 90 indexed citations

13.

Tortora, Stefano, Luca Tonin, Carmelo Chisari, et al.. (2020). Hybrid Human-Machine Interface for Gait Decoding Through Bayesian Fusion of EEG and EMG Classifiers. Frontiers in Neurorobotics. 14. 582728–582728. 52 indexed citations

14.

Tortora, Stefano, et al.. (2020). Human arm weight compensation in rehabilitation robotics: efficacy of three distinct methods. Journal of NeuroEngineering and Rehabilitation. 17(1). 13–13. 27 indexed citations

15.

Tortora, Stefano, et al.. (2020). ROS-Neuro: implementation of a closed-loop BMI based on motor imagery. Research Padua Archive (University of Padua). 2031–2037. 4 indexed citations

16.

Tortora, Stefano, Fiorenzo Artoni, Luca Tonin, et al.. (2020). Discrimination of Walking and Standing from Entropy of EEG Signals and Common Spatial Patterns. CINECA IRIS Institutial research information system (University of Pisa). 2008–2013. 5 indexed citations

17.

Tortora, Stefano, et al.. (2019). Towards a Brain-Robot Interface for children. Research Padua Archive (University of Padua). 2799–2805. 6 indexed citations

18.

Tonin, Luca, et al.. (2019). ROS-Neuro: A common middleware for BMI and robotics. The acquisition and recorder packages. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2767–2772. 10 indexed citations

19.

Tortora, Stefano, Michele Moro, & Emanuele Menegatti. (2019). Dual-Myo Real-Time Control of a Humanoid Arm for Teleoperation. Research Padua Archive (University of Padua). 624–625. 7 indexed citations

20.

Tortora, Stefano, et al.. (2017). Feedforward model based arm weight compensation with the rehabilitation robot ARMin. PubMed. 2017. 72–77. 22 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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