G. Cavallo

748 total citations
21 papers, 555 citations indexed

About

G. Cavallo is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, G. Cavallo has authored 21 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 13 papers in Cognitive Neuroscience and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in G. Cavallo's work include Muscle activation and electromyography studies (11 papers), EEG and Brain-Computer Interfaces (10 papers) and Neuroscience and Neural Engineering (10 papers). G. Cavallo is often cited by papers focused on Muscle activation and electromyography studies (11 papers), EEG and Brain-Computer Interfaces (10 papers) and Neuroscience and Neural Engineering (10 papers). G. Cavallo collaborates with scholars based in Italy, Switzerland and Slovenia. G. Cavallo's co-authors include Eugenio Guglielmelli, Mario Tombini, Paolo Maria Rossini, Silvestro Micera, Paolo Dario, Giovanni Di Pino, Antonella Benvenuto, Staniša Raspopović, Jacopo Carpaneto and Luca Rossini and has published in prestigious journals such as NeuroImage, Clinical Neurophysiology and Computer Methods and Programs in Biomedicine.

In The Last Decade

G. Cavallo

19 papers receiving 538 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Cavallo Italy 10 331 313 299 75 58 21 555
Christopher C. Duncan United States 10 406 1.2× 515 1.6× 408 1.4× 36 0.5× 55 0.9× 14 717
David T. Kluger United States 9 367 1.1× 478 1.5× 357 1.2× 42 0.6× 58 1.0× 10 643
Jacob A. George United States 11 366 1.1× 520 1.7× 353 1.2× 36 0.5× 76 1.3× 31 649
Michael Russold Austria 16 179 0.5× 598 1.9× 291 1.0× 73 1.0× 121 2.1× 47 818
Aidan D. Roche Austria 16 359 1.1× 774 2.5× 579 1.9× 62 0.8× 95 1.6× 36 1.0k
Zachary C. Thumser United States 10 427 1.3× 451 1.4× 324 1.1× 56 0.7× 46 0.8× 21 681
Emanuele Formento Switzerland 6 156 0.5× 281 0.9× 173 0.6× 112 1.5× 81 1.4× 7 547
Matija Štrbac Serbia 15 472 1.4× 447 1.4× 237 0.8× 25 0.3× 40 0.7× 43 695
Suzanne Wendelken United States 13 552 1.7× 712 2.3× 531 1.8× 46 0.6× 59 1.0× 29 977
Francesco Iberite Italy 11 619 1.9× 640 2.0× 479 1.6× 51 0.7× 34 0.6× 17 938

Countries citing papers authored by G. Cavallo

Since Specialization
Citations

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

Fields of papers citing papers by G. Cavallo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Cavallo

This figure shows the co-authorship network connecting the top 25 collaborators of G. Cavallo. A scholar is included among the top collaborators of G. Cavallo 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 G. Cavallo. G. Cavallo 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.
Polignano, Marco, et al.. (2025). Comparing Human Pose Estimation through deep learning approaches: An overview. Computer Vision and Image Understanding. 252. 104297–104297. 3 indexed citations
2.
Andria, G., et al.. (2015). A novel approach for design and testing digital m-health applications. 14. 440–444. 4 indexed citations
3.
Mazzoleni, Stefano, Marko Munih, András József Tóth, et al.. (2012). Whole-body isometric force/torque measurements for functional assessment in neuro-rehabilitation: User interface and data pre-processing techniques. Computer Methods and Programs in Biomedicine. 110(1). 27–37.
4.
Taffoni, Fabrizio, Massimo Vespignani, Domenico Formica, et al.. (2012). A mechatronic platform for behavioral analysis on nonhuman primates. Journal of Integrative Neuroscience. 11(1). 87–101. 10 indexed citations
5.
Pino, Giovanni Di, Antonella Benvenuto, G. Cavallo, et al.. (2012). In Human Implant of Intraneural Multielectrodes for Controlling a 5-Fingered Hand Prosthesis and Delivering Sensorial Feedback. 4 indexed citations
6.
Pellegrino, Giovanni, Leo Tomasevic, Mario Tombini, et al.. (2012). Inter-hemispheric coupling changes associate with motor improvements after robotic stroke rehabilitation. Restorative Neurology and Neuroscience. 30(6). 497–510. 82 indexed citations
7.
Soda, Paolo, Stefano Mazzoleni, G. Cavallo, Eugenio Guglielmelli, & Giulio Iannello. (2010). Human movement onset detection from isometric force and torque measurements: A supervised pattern recognition approach. Artificial Intelligence in Medicine. 50(1). 55–61. 16 indexed citations
8.
Benvenuto, Antonella, Staniša Raspopović, K.-P. Hoffmann, et al.. (2010). Intrafascicular thin-film multichannel electrodes for sensory feedback: Evidences on a human amputee. PubMed. 121. 1800–1803. 13 indexed citations
9.
Rossini, Paolo Maria, Silvestro Micera, Antonella Benvenuto, et al.. (2010). Double nerve intraneural interface implant on a human amputee for robotic hand control. Clinical Neurophysiology. 121(5). 777–783. 285 indexed citations
10.
Micera, Silvestro, Jacopo Rigosa, Jacopo Carpaneto, et al.. (2009). On the control of a robot hand by extracting neural signals from the PNS: Preliminary results from a human implantation. PubMed. 2009. 4586–4589. 14 indexed citations
11.
Tombini, Mario, Filippo Zappasodi, Loredana Zollo, et al.. (2009). Brain activity preceding a 2D manual catching task. NeuroImage. 47(4). 1735–1746. 58 indexed citations
12.
Mazzoleni, Stefano, András József Tóth, Marko Munih, et al.. (2009). Whole-body isometric force/torque measurements for functional assessment in neuro-rehabilitation: platform design, development and verification. Journal of NeuroEngineering and Rehabilitation. 6(1). 38–38. 11 indexed citations
13.
14.
Cavallo, G., Domenico Campolo, Flavio Keller, & Eugenio Guglielmelli. (2008). A Modular Platform for In-plane Ground Reaction Forces Detection in a Mouse Model: Design, Development and Verification. Advanced Robotics. 22(1). 141–157. 2 indexed citations
15.
Soda, Paolo, Stefano Mazzoleni, G. Cavallo, Eugenio Guglielmelli, & Giulio Iannello. (2008). A Supervised Pattern Recognition Approach for Human Movement Onset Detection. CINECA IRIS Institutional Research Information System (Sant'Anna School of Advanced Studies). 22. 566–571. 1 indexed citations
16.
Mazzoleni, Stefano, G. Cavallo, Marko Munih, et al.. (2007). Towards application of a mechatronic platform for whole-body isometric force-torque measurements to functional assessment in neuro-rehabilitation. Proceedings - IEEE International Conference on Robotics and Automation/Proceedings. 1535–1540. 6 indexed citations
17.
18.
19.
Campolo, Domenico, G. Cavallo, Flavio Keller, et al.. (2005). Design and development of a miniaturized 2-axis force sensor for tremor analysis during locomotion in small-sized animal models. PubMed. 14. 5054–5057. 3 indexed citations
20.
Campolo, Domenico, G. Cavallo, Flavio Keller, et al.. (2005). A mechatronic system for in-plane ground-reaction-force measurement for tremor analysis in animal models. 2505–2510. 4 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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