Mark Ferraro

13 papers receiving 1.9k citations

Mark Ferraro's Hit Papers

Rehabilitation Robotics: Performance-Based Progressive Robot-Assisted Therapy 2003 · 540 citations
5400+7+15Years since publication100200300400500

Peers

Mark Ferraro
Comparison fields: 5 of 66
  • Rehabilitation 1.5k
  • Neurology 487
  • Cognitive Neuroscience 503
  • Biomedical Engineering 978
  • Physical Therapy, Sports Therapy and Rehabilitation 73
Replace P. Shor with:
P. Shor United States
Gerdienke B. Prange Netherlands
Leonard Kahn United States
Arno H. A. Stienen Netherlands
Jerome J. Palazzolo United States
Charles G. Burgar United States
Vicky Chan United States
Michael D. Ellis United States
Mary Ellen Stoykov United States
Brandon Rohrer United States
Mark Ferraro relative to P. Shor United States P. Shor's profile →
Citations per field
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P. Shor · 1×
Citations per year

Countries citing papers authored by Mark Ferraro

Since Specialization
Citations

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

Fields of papers citing papers by Mark Ferraro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Mark Ferraro, 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 Mark Ferraro Line = papers co-authored together Mark Ferraro links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
Rehabilitation Robotics: Performance-Based Progressive Robot-Assisted Therapy
Hit paper breakdown →
2003540
2 2004318
3 2008192
4 2003192
5 2005185
6 2002114
7 200594
8 200287
9 200580
10 200771
11 200251
12 200445
13 200444

About Mark Ferraro

Mark Ferraro is a scholar working on Rehabilitation, Neurology, Epidemiology, Biomedical Engineering and Psychiatry and Mental health, having authored 13 papers that have together received 2.0k indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (13 papers), Botulinum Toxin and Related Neurological Disorders (8 papers), Acute Ischemic Stroke Management (4 papers), Muscle activation and electromyography studies (3 papers), Cerebral Palsy and Movement Disorders (3 papers), EEG and Brain-Computer Interfaces (1 paper), Prosthetics and Rehabilitation Robotics (1 paper) and Robot Manipulation and Learning (1 paper). The work is most often cited by research in Rehabilitation (1.5k citations), Neurology (487 citations), Cognitive Neuroscience (503 citations), Biomedical Engineering (978 citations) and Physical Therapy, Sports Therapy and Rehabilitation (73 citations). Mark Ferraro has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Bruce T. Volpe, Hermano Igo Krebs, Jerome J. Palazzolo, N. Hogan, Daniel Lynch, Neville Hogan, Laura Dipietro, Neville Hogan, Paul J. Christos and Michael Sandmann. Their work appears in journals such as Neurorehabilitation and neural repair, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Current Atherosclerosis Reports, Clinical Rehabilitation and Journal of NeuroEngineering and Rehabilitation.

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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