Pietro Mazzoni

8.3k total citations · 1 hit paper
63 papers, 5.0k citations indexed

About

Pietro Mazzoni is a scholar working on Cognitive Neuroscience, Neurology and Biomedical Engineering. According to data from OpenAlex, Pietro Mazzoni has authored 63 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cognitive Neuroscience, 20 papers in Neurology and 18 papers in Biomedical Engineering. Recurrent topics in Pietro Mazzoni's work include Motor Control and Adaptation (17 papers), Muscle activation and electromyography studies (16 papers) and Neurological disorders and treatments (12 papers). Pietro Mazzoni is often cited by papers focused on Motor Control and Adaptation (17 papers), Muscle activation and electromyography studies (16 papers) and Neurological disorders and treatments (12 papers). Pietro Mazzoni collaborates with scholars based in United States, Italy and Canada. Pietro Mazzoni's co-authors include John W. Krakauer, Richard A. Andersen, Lior Shmuelof, Adrian M. Haith, Vincent Huang, Anna H. Hristova, R. Martyn Bracewell, Shabtai Barash, Michael I. Jordan and Juan C. Cortés and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Pietro Mazzoni

62 papers receiving 4.9k citations

Hit Papers

An Implicit Plan Overrides an Explicit Strategy during Vi... 2006 2026 2012 2019 2006 100 200 300 400 500

Peers

Pietro Mazzoni
M. F. Ghilardi United States
Jürgen Konczak United States
Nicolas Schweighofer United States
Maria Felice Ghilardi United States
Maurice A. Smith United States
Deborah J. Serrien United Kingdom
Claude Ghez United States
James Ashe United States
M. F. Ghilardi United States
Pietro Mazzoni
Citations per year, relative to Pietro Mazzoni Pietro Mazzoni (= 1×) peers M. F. Ghilardi

Countries citing papers authored by Pietro Mazzoni

Since Specialization
Citations

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

Fields of papers citing papers by Pietro Mazzoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pietro Mazzoni

This figure shows the co-authorship network connecting the top 25 collaborators of Pietro Mazzoni. A scholar is included among the top collaborators of Pietro Mazzoni 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 Pietro Mazzoni. Pietro Mazzoni 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.
Charalambous, Charalambos C., et al.. (2025). Transcallosal inhibition does not influence subacute motor recovery in mild-to-moderate stroke. Brain. 148(11). 3946–3957. 1 indexed citations
2.
Mazzoni, Pietro, Mwiza Ushe, Scott A. Norris, et al.. (2024). Differential components of bradykinesia in Parkinson’s disease revealed by deep brain stimulation. Journal of Neurophysiology. 132(3). 870–878. 1 indexed citations
3.
Earhart, Gammon M., et al.. (2024). Refinement of an Algorithm to Detect and Predict Freezing of Gait in Parkinson Disease Using Wearable Sensors. Sensors. 25(1). 124–124. 2 indexed citations
4.
Charalambous, Charalambos C., Yian Zhang, Yongzhao Shao, et al.. (2024). Corticospinal and corticoreticulospinal projections have discrete but complementary roles in chronic motor behaviors after stroke. Journal of Neurophysiology. 132(6). 1917–1936. 3 indexed citations
5.
Earhart, Gammon M., et al.. (2023). Using Wearable Sensors to Assess Freezing of Gait in the Real World. Bioengineering. 10(3). 289–289. 11 indexed citations
6.
Rao, Ashwini K., et al.. (2022). Transductive Learning Models for Accurate Ambulatory Gait Analysis in Elderly Residents of Assisted Living Facilities. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 30. 124–134. 15 indexed citations
7.
Earhart, Gammon M., et al.. (2020). A Walking Dance to Improve Gait Speed for People With Parkinson Disease: A Pilot Study. Neurodegenerative Disease Management. 10(5). 301–308. 5 indexed citations
8.
Moscovich, Mariana, Michael S. Okun, Christopher G. Favilla, et al.. (2014). Clinical Evaluation of Eye Movements in Spinocerebellar Ataxias. Journal of Neuro-Ophthalmology. 35(1). 16–21. 46 indexed citations
9.
Kitago, Tomoko, Sophia L. Ryan, Pietro Mazzoni, John W. Krakauer, & Adrian M. Haith. (2013). Unlearning versus savings in visuomotor adaptation: comparing effects of washout, passage of time, and removal of errors on motor memory. Frontiers in Human Neuroscience. 7. 307–307. 88 indexed citations
10.
Huang, Vincent, Adrian M. Haith, Pietro Mazzoni, & John W. Krakauer. (2011). Rethinking Motor Learning and Savings in Adaptation Paradigms: Model-Free Memory for Successful Actions Combines with Internal Models. Neuron. 70(4). 787–801. 336 indexed citations
11.
Krakauer, John W. & Pietro Mazzoni. (2011). Human sensorimotor learning: adaptation, skill, and beyond. Current Opinion in Neurobiology. 21(4). 636–644. 380 indexed citations
12.
Mazzoni, Pietro & Nancy S. Wexler. (2009). Parallel Explicit and Implicit Control of Reaching. PLoS ONE. 4(10). e7557–e7557. 20 indexed citations
13.
Zarahn, Eric, et al.. (2008). Explaining Savings for Visuomotor Adaptation: Linear Time-Invariant State-Space Models Are Not Sufficient. Journal of Neurophysiology. 100(5). 2537–2548. 106 indexed citations
14.
Mazzoni, Pietro & John W. Krakauer. (2006). An Implicit Plan Overrides an Explicit Strategy during Visuomotor Adaptation. Journal of Neuroscience. 26(14). 3642–3645. 581 indexed citations breakdown →
15.
Miller, Jeffrey M., et al.. (2006). Anhedonia After a Selective Bilateral Lesion of the Globus Pallidus. American Journal of Psychiatry. 163(5). 786–788. 87 indexed citations
16.
Mazzoni, Pietro, et al.. (2000). Intracerebral aneurysms in human immunodeficiency virus infection: case report and literature review. Pediatric Neurology. 23(3). 252–255. 40 indexed citations
17.
Mazzoni, Pietro & Richard A. Andersen. (1998). Gaze coding in the posterior parietal cortex. MIT Press eBooks. 423–426. 5 indexed citations
18.
Andersen, Richard A., Peter Brotchie, & Pietro Mazzoni. (1992). Evidence for the lateral intraparietal area as the parietal eye field. Current Opinion in Neurobiology. 2(6). 840–846. 87 indexed citations
19.
Mazzoni, Pietro, Richard A. Andersen, & Michael I. Jordan. (1991). A More Biologically Plausible Learning Rule Than Backpropagation Applied to a Network Model of Cortical Area 7a. Cerebral Cortex. 1(4). 293–307. 62 indexed citations
20.
Selverston, Allen I. & Pietro Mazzoni. (1989). Flexibility of computational units in invertebrate CPGs. Addison-Wesley Longman Publishing Co., Inc. eBooks. 205–228. 5 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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