Jacopo Rigosa

2.2k total citations
22 papers, 921 citations indexed

About

Jacopo Rigosa is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Jacopo Rigosa has authored 22 papers receiving a total of 921 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cellular and Molecular Neuroscience, 15 papers in Cognitive Neuroscience and 15 papers in Biomedical Engineering. Recurrent topics in Jacopo Rigosa's work include Neuroscience and Neural Engineering (15 papers), Muscle activation and electromyography studies (14 papers) and EEG and Brain-Computer Interfaces (13 papers). Jacopo Rigosa is often cited by papers focused on Neuroscience and Neural Engineering (15 papers), Muscle activation and electromyography studies (14 papers) and EEG and Brain-Computer Interfaces (13 papers). Jacopo Rigosa collaborates with scholars based in Italy, Switzerland and United States. Jacopo Rigosa's co-authors include Silvestro Micera, Staniša Raspopović, Jacopo Carpaneto, Paolo Maria Rossini, Luca Citi, Paolo Dario, Mario Tombini, Giovanni Di Pino, Luca Denaro and Luca Rossini and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Biomaterials.

In The Last Decade

Jacopo Rigosa

20 papers receiving 895 citations

Peers

Jacopo Rigosa
Daniel Tan United States
Avram Scheiner United States
Lee E. Fisher United States
Ning Lan China
Jayme S. Knutson United States
Daniel Tan United States
Jacopo Rigosa
Citations per year, relative to Jacopo Rigosa Jacopo Rigosa (= 1×) peers Daniel Tan

Countries citing papers authored by Jacopo Rigosa

Since Specialization
Citations

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

Fields of papers citing papers by Jacopo Rigosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacopo Rigosa

This figure shows the co-authorship network connecting the top 25 collaborators of Jacopo Rigosa. A scholar is included among the top collaborators of Jacopo Rigosa 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 Jacopo Rigosa. Jacopo Rigosa 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.
Petrini, Francesco M., Alberto Mazzoni, Jacopo Rigosa, et al.. (2019). Microneurography as a tool to develop decoding algorithms for peripheral neuro-controlled hand prostheses. BioMedical Engineering OnLine. 18(1). 44–44. 10 indexed citations
2.
Rigosa, Jacopo, Alessandro Lucantonio, Giovanni Noselli, et al.. (2018). A Fluorescent Dye Method Suitable for Visualization of One or More Rat Whiskers. BIO-PROTOCOL. 8(5). e2749–e2749. 6 indexed citations
3.
Rigosa, Jacopo, Alessandro Lucantonio, Giovanni Noselli, et al.. (2017). Dye-enhanced visualization of rat whiskers for behavioral studies. eLife. 6. 8 indexed citations
4.
Wurth, Sophie, Marco Capogrosso, Staniša Raspopović, et al.. (2017). Long-term usability and bio-integration of polyimide-based intra-neural stimulating electrodes. Biomaterials. 122. 114–129. 134 indexed citations
5.
DiGiovanna, Jack, Nadia Dominici, Lucia Friedli, et al.. (2016). Engagement of the Rat Hindlimb Motor Cortex across Natural Locomotor Behaviors. Journal of Neuroscience. 36(40). 10440–10455. 60 indexed citations
6.
Sheshadri, Swathi, Jukka Kortelainen, Jacopo Rigosa, et al.. (2015). Classification of phases of hand grasp task by the extraction of miniature compound nerve action potentials (mCNAPs). 154. 593–596. 2 indexed citations
7.
Rigosa, Jacopo, Alessandro Panarese, Nadia Dominici, et al.. (2015). Decoding bipedal locomotion from the rat sensorimotor cortex. Journal of Neural Engineering. 12(5). 56014–56014. 28 indexed citations
8.
Musick, Katherine M., Jacopo Rigosa, Sophie Wurth, et al.. (2015). Chronic multichannel neural recordings from soft regenerative microchannel electrodes during gait. Scientific Reports. 5(1). 14363–14363. 59 indexed citations
9.
Mazzoni, Alberto, Francesco M. Petrini, Jacopo Rigosa, et al.. (2015). How central inputs and force and velocity feedbacks determine motoneurons activity during voluntary hand movements. BMC Neuroscience. 16(S1). 3 indexed citations
10.
Ricotti, Leonardo, et al.. (2013). Analysis of Balance, Rapidity, Force and Reaction Times of Soccer Players at Different Levels of Competition. PLoS ONE. 8(10). e77264–e77264. 39 indexed citations
11.
Pirino, Davide, Jacopo Rigosa, Alice Ledda, & Luca Ferretti. (2012). Detecting correlations among functional-sequence motifs. Physical Review E. 85(6). 66124–66124.
12.
Ciofani, Gianni, Leonardo Ricotti, Jacopo Rigosa, et al.. (2011). Hypergravity effects on myoblast proliferation and differentiation. Journal of Bioscience and Bioengineering. 113(2). 258–261. 32 indexed citations
13.
Micera, Silvestro, Paolo Maria Rossini, Jacopo Rigosa, et al.. (2011). Decoding of grasping information from neural signals recorded using peripheral intrafascicular interfaces. Journal of NeuroEngineering and Rehabilitation. 8(1). 53–53. 78 indexed citations
14.
Rossini, Paolo Maria, et al.. (2011). Stump nerve signals during transcranial magnetic motor cortex stimulation recorded in an amputee via longitudinal intrafascicular electrodes. Experimental Brain Research. 210(1). 1–11. 13 indexed citations
15.
Carpaneto, Jacopo, Annarita Cutrone, Silvia Bossi, et al.. (2011). Activities on PNS neural interfaces for the control of hand prostheses. PubMed. 121. 4637–4640. 11 indexed citations
16.
Tombini, Mario, Jacopo Rigosa, Filippo Zappasodi, et al.. (2011). Combined Analysis of Cortical (EEG) and Nerve Stump Signals Improves Robotic Hand Control. Neurorehabilitation and neural repair. 26(3). 275–281. 32 indexed citations
17.
Rigosa, Jacopo, Douglas J. Weber, A. Procházka, R. B. Stein, & Silvestro Micera. (2011). Neuro-fuzzy decoding of sensory information from ensembles of simultaneously recorded dorsal root ganglion neurons for functional electrical stimulation applications. Journal of Neural Engineering. 8(4). 46019–46019. 28 indexed citations
18.
Micera, Silvestro, Luca Citi, Jacopo Rigosa, et al.. (2010). Decoding Information From Neural Signals Recorded Using Intraneural Electrodes: Toward the Development of a Neurocontrolled Hand Prosthesis Progressisdescribed inusing information,obtainedbyprocessingnervecellsignalsin bundles of muscle fibers, as a means to model hand movements and to control prosthetic devices.. 1 indexed citations
19.
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
20.
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

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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