Iolanda Pisotta

23 papers receiving 1.4k citations

Iolanda Pisotta's Hit Papers

Brain–computer interface boosts motor imagery practice during stroke recovery 2015 · 470 citations
4700+3+7Years since publication100200300400

Peers

Iolanda Pisotta
Comparison fields: 5 of 79
  • Rehabilitation 397
  • Cognitive Neuroscience 650
  • Physical Therapy, Sports Therapy and Rehabilitation 76
  • Biomedical Engineering 674
  • Human-Computer Interaction 78
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Franco Molteni Italy
Martina Coscia Italy
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Massimiliano Rea Italy
Doris Broetz Germany
Eleonora Guanziroli Italy
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Thomas Hoellinger Belgium
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Citations per year

Countries citing papers authored by Iolanda Pisotta

Since Specialization
Citations

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

Fields of papers citing papers by Iolanda Pisotta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Iolanda Pisotta, 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 Iolanda Pisotta Line = papers co-authored together Iolanda Pisotta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Brain–computer interface boosts motor imagery practice during stroke recovery
Hit paper breakdown →
2015470
2 2014299
3 2014116
4 201487
5 201580
6 202165
7 201940
8 202040
9 201339
10 201627
11 202025
12 201522
13 201520
14 201818
15 201715
16 20198
17 20208
18 20227
19 20216
20 20245

About Iolanda Pisotta

Iolanda Pisotta is a scholar working on Cognitive Neuroscience, Pathology and Forensic Medicine, Biomedical Engineering, Rehabilitation and Psychiatry and Mental health, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (11 papers), Spinal Cord Injury Research (7 papers), Stroke Rehabilitation and Recovery (6 papers), Prosthetics and Rehabilitation Robotics (5 papers), Muscle activation and electromyography studies (4 papers), Cerebral Palsy and Movement Disorders (2 papers), Vestibular and auditory disorders (2 papers) and Software System Performance and Reliability (1 paper). The work is most often cited by research in Rehabilitation (397 citations), Cognitive Neuroscience (650 citations), Physical Therapy, Sports Therapy and Rehabilitation (76 citations), Biomedical Engineering (674 citations) and Human-Computer Interaction (78 citations). Iolanda Pisotta has collaborated with scholars based in Italy, Switzerland and Netherlands. Frequent co-authors include Marco Molinari, Febo Cincotti, Donatella Mattia, Stefano Paolucci, Floriana Pichiorri, Giovanni Morone, Jlenia Toppi, Maurizio Inghilleri, Manuela Petti and Laura Astolfi. Their work appears in journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, Frontiers in Human Neuroscience, Journal of Neurotrauma, Journal of Biological Regulators and Homeostatic Agents and Frontiers in Neurology.

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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