Gaia Bonassi

720 citations
44 papers · 455 · h-index 14

Impact in

Papers in

    • EEG and Brain-Computer Interfaces 9
    • Neural dynamics and brain function 7
    • Motor Control and Adaptation 6
    • Transcranial Magnetic Stimulation Studies 6
    • Parkinson's Disease Mechanisms and Treatments 6

Gaia Bonassi

38 papers receiving 447 citations

Peers

Gaia Bonassi
Comparison fields: 5 of 68
  • Physical Therapy, Sports Therapy and Rehabilitation 69
  • Cognitive Neuroscience 178
  • Neurology 57
  • Neurology 98
  • Rehabilitation 33
Replace Laura Avanzino with:
Laura Avanzino Italy
Kazumi Iseki Japan
Scott J. Young United States
Luc Defebvre France
M Saling Slovakia
Agostina Casamento‐Moran United States
Tara L. McIsaac United States
Lucia S. Simó United States
J. Ilmberger Germany
Firas Mawase Israel
Gaia Bonassi relative to Laura Avanzino Italy Laura Avanzino's profile →
Citations per field
00.5×10×12.5×
Laura Avanzino · 1×
Citations per year

Countries citing papers authored by Gaia Bonassi

Since Specialization
Citations

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

Fields of papers citing papers by Gaia Bonassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gaia Bonassi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gaia Bonassi Line = papers co-authored together Gaia Bonassi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201651
2 201741
3 201830
4 201930
5 201722
6 202021
7 202321
8 202219
9 202118
10 201617
11 202016
12 202115
13 202114
14 202014
15 202313
16 202213
17 202210
18 202210
19 20249
20 20249

About Gaia Bonassi

Gaia Bonassi is a scholar working on Cognitive Neuroscience, Neurology, Social Psychology, Neurology and Biomedical Engineering, having authored 44 papers that have together received 455 indexed citations. Recurring topics across this work include Action Observation and Synchronization (10 papers), EEG and Brain-Computer Interfaces (9 papers), Neural dynamics and brain function (7 papers), Muscle activation and electromyography studies (7 papers), Transcranial Magnetic Stimulation Studies (6 papers), Balance, Gait, and Falls Prevention (6 papers), Motor Control and Adaptation (6 papers) and Parkinson's Disease Mechanisms and Treatments (6 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (69 citations), Cognitive Neuroscience (178 citations), Neurology (57 citations), Neurology (98 citations) and Rehabilitation (33 citations). Gaia Bonassi has collaborated with scholars based in Italy, Belgium and United States. Frequent co-authors include Elisa Pelosin, Laura Avanzino, Giovanna Lagravinese, Giovanni Abbruzzese, Laura Avanzino, Dante Mantini, Marco Bove, Ambra Bisio, Carla Ogliastro and Piero Ruggeri. Their work appears in journals such as Scientific Reports, Journal of Parkinson s Disease, Parkinsonism & Related Disorders, Neuroscience and Neurological Sciences.

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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