Marco Caimmi

711 total citations
32 papers, 513 citations indexed

About

Marco Caimmi is a scholar working on Rehabilitation, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Marco Caimmi has authored 32 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Rehabilitation, 15 papers in Biomedical Engineering and 8 papers in Cognitive Neuroscience. Recurrent topics in Marco Caimmi's work include Stroke Rehabilitation and Recovery (24 papers), Muscle activation and electromyography studies (14 papers) and Botulinum Toxin and Related Neurological Disorders (7 papers). Marco Caimmi is often cited by papers focused on Stroke Rehabilitation and Recovery (24 papers), Muscle activation and electromyography studies (14 papers) and Botulinum Toxin and Related Neurological Disorders (7 papers). Marco Caimmi collaborates with scholars based in Italy, United States and Switzerland. Marco Caimmi's co-authors include Lorenzo Molinari Tosatti, Franco Molteni, Matteo Malosio, Nicola Pedrocchi, Stefano Carda, Alessandro Scano, Eliseo Stefano Maini, A.M. Sabatini, Nicola Smania and Andrea Chiavenna and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of the New York Academy of Sciences and BioMed Research International.

In The Last Decade

Marco Caimmi

30 papers receiving 500 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Caimmi Italy 11 301 213 121 115 114 32 513
Bambi R. Brewer United States 13 388 1.3× 250 1.2× 176 1.5× 117 1.0× 193 1.7× 24 669
Edwin Daniel Oña Spain 12 391 1.3× 147 0.7× 160 1.3× 169 1.5× 76 0.7× 34 588
Angelo Basteris Italy 11 447 1.5× 281 1.3× 170 1.4× 93 0.8× 167 1.5× 28 629
Elizabeth B. Brokaw United States 10 427 1.4× 294 1.4× 248 2.0× 118 1.0× 104 0.9× 21 611
Ludovic Dovat Singapore 12 461 1.5× 446 2.1× 208 1.7× 79 0.7× 208 1.8× 20 702
Psiche Giannoni Italy 15 470 1.6× 330 1.5× 186 1.5× 120 1.0× 231 2.0× 34 673
Won-Kyung Song South Korea 12 202 0.7× 146 0.7× 65 0.5× 41 0.4× 57 0.5× 58 398
Caterina Procopio Italy 10 450 1.5× 445 2.1× 98 0.8× 68 0.6× 233 2.0× 13 697
Kristen M. Triandafilou United States 13 453 1.5× 247 1.2× 190 1.6× 129 1.1× 144 1.3× 20 600
Justin B. Rowe United States 11 324 1.1× 180 0.8× 113 0.9× 95 0.8× 110 1.0× 20 452

Countries citing papers authored by Marco Caimmi

Since Specialization
Citations

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

Fields of papers citing papers by Marco Caimmi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Caimmi

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Caimmi. A scholar is included among the top collaborators of Marco Caimmi 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 Marco Caimmi. Marco Caimmi 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
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Caimmi, Marco, et al.. (2022). Robot Fully Assisted Upper-Limb Functional Movements Against Gravity to Drive Recovery in Chronic Stroke: A Pilot Study. Frontiers in Neurology. 12. 782094–782094. 6 indexed citations
4.
Roveda, Loris, et al.. (2019). Assisting Operators in Heavy Industrial Tasks: On the Design of an Optimized Cooperative Impedance Fuzzy-Controller With Embedded Safety Rules. Frontiers in Robotics and AI. 6. 75–75. 57 indexed citations
5.
Caimmi, Marco, Andrea Chiavenna, Matteo Malosio, et al.. (2018). DUALarm: An open-source and 3D-printable device for upper limb neurorehabilitation. SHILAP Revista de lepidopterología. 5. 2480603877–2480603877. 3 indexed citations
6.
Caimmi, Marco, et al.. (2018). A Voice Control System for Assistive Robotic Arms: Preliminary Usability Tests on Patients. 167–172. 12 indexed citations
7.
Caimmi, Marco, Andrea Chiavenna, Alessandro Scano, et al.. (2017). Using robot fully assisted functional movements in upper-limb rehabilitation of chronic stroke patients: preliminary results. European Journal of Physical and Rehabilitation Medicine. 53(3). 390–399. 13 indexed citations
8.
Malosio, Matteo, Marco Caimmi, Matjaž Mihelj, et al.. (2016). An affordable, adaptable, and hybrid assistive device for upper-limb neurorehabilitation. Journal of Rehabilitation and Assistive Technologies Engineering. 3. 2479534868–2479534868. 4 indexed citations
9.
Caimmi, Marco, Elisa Visani, Alessandro Scano, et al.. (2016). Predicting Functional Recovery in Chronic Stroke Rehabilitation Using Event-Related Desynchronization-Synchronization during Robot-Assisted Movement. BioMed Research International. 2016. 1–11. 10 indexed citations
10.
Caimmi, Marco, Giulio Gasperini, Matteo Malosio, et al.. (2014). Using robotic rehabilitation in stroke patients with body scheme impairment. Annals of Physical and Rehabilitation Medicine. 57. e13–e13. 1 indexed citations
11.
Malosio, Matteo, Marco Caimmi, Giovanni Legnani, & Lorenzo Molinari Tosatti. (2014). LINarm: a low-cost variable stiffness device for upper-limb rehabilitation. Institutional Research Information System (Università degli Studi di Brescia). 3598–3603. 5 indexed citations
12.
Caimmi, Marco, Matteo Malosio, Nicola Pedrocchi, et al.. (2013). Upper limb robotic rehabilitation: Treatment customization. Gait & Posture. 37. S13–S14. 6 indexed citations
13.
Malosio, Matteo, et al.. (2012). A spherical parallel three degrees-of-freedom robot for ankle-foot neuro-rehabilitation. PubMed. 2012. 3356–3359. 53 indexed citations
14.
Caimmi, Marco, Matteo Malosio, Nicola Pedrocchi, et al.. (2012). The biomechanics of the reaching movement in Friedreich and stroke patients. Gait & Posture. 36. S88–S88. 1 indexed citations
15.
Caimmi, Marco, Matteo Malosio, Nicola Pedrocchi, et al.. (2012). Robot assisted training: The impact of trajectories and velocities on the subject's perception of the movement. Gait & Posture. 35. S27–S28. 1 indexed citations
16.
Bernardi, Nicolò F., S Aggujaro, Marco Caimmi, et al.. (2009). A New Approach to Rhythm Cueing of Cognitive Functions. Annals of the New York Academy of Sciences. 1169(1). 417–421. 2 indexed citations
17.
Molteni, F., et al.. (2008). Using surface dynamic electromyography during Upper-extremity robotic training. 2 indexed citations
18.
Caimmi, Marco, Stefano Carda, Eliseo Stefano Maini, et al.. (2007). Using Kinematic Analysis to Evaluate Constraint-Induced Movement Therapy in Chronic Stroke Patients. Neurorehabilitation and neural repair. 22(1). 31–39. 142 indexed citations
19.
Molteni, F., et al.. (2006). Kinematic upper limb analysis in stroke patients undergoing constraint-induced movement therapy: 3-Month follow-up. Gait & Posture. 24. S42–S43. 2 indexed citations
20.
Molteni, Franco, et al.. (2005). Instrumental Evaluation of Gait Modifications Before and During Intrathecal Baclofen Therapy. American Journal of Physical Medicine & Rehabilitation. 84(4). 303–306. 17 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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