Simone Pittaccio

32 papers receiving 622 citations

Peers

Simone Pittaccio
Comparison fields: 5 of 78
  • Rehabilitation 83
  • Materials Chemistry 326
  • Biomedical Engineering 230
  • Polymers and Plastics 48
  • Cognitive Neuroscience 56
Replace A. Biscarini with:
A. Biscarini Italy
Young-Jun Ko South Korea
Stefano Viscuso Italy
Sung-Jin Choi South Korea
Jingcheng Li United States
Ye Ma China
Wenjing Du China
Mitsutoshi Makihata Japan
Hanchuan Tang China
Yeongjin Kim South Korea
Simone Pittaccio relative to A. Biscarini Italy A. Biscarini's profile →
Citations per field
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A. Biscarini · 1×
Citations per year

Countries citing papers authored by Simone Pittaccio

Since Specialization
Citations

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

Fields of papers citing papers by Simone Pittaccio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010319
2 200458
3 201131
4 201827
5 200927
6 201526
7 201022
8 201013
9 201313
10 201312
11 201310
12
On the use of computational models for the quantitative assessment of surgery in congenital heart disease.
200510
13 200910
14 201210
15 20147
16 20226
17 20235
18 20185
19 20234
20 20214

About Simone Pittaccio

Simone Pittaccio is a scholar working on Biomedical Engineering, Materials Chemistry, Rehabilitation, Cognitive Neuroscience and Epidemiology, having authored 39 papers that have together received 643 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (10 papers), Shape Memory Alloy Transformations (9 papers), Stroke Rehabilitation and Recovery (8 papers), EEG and Brain-Computer Interfaces (5 papers), Cerebral Palsy and Movement Disorders (5 papers), Congenital Heart Disease Studies (5 papers), Botulinum Toxin and Related Neurological Disorders (4 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Rehabilitation (83 citations), Materials Chemistry (326 citations), Biomedical Engineering (230 citations), Polymers and Plastics (48 citations) and Cognitive Neuroscience (56 citations). Simone Pittaccio has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Stefano Viscuso, S. Besseghini, Elena Villa, Adelaide Nespoli, Francesco Migliavacca, Gabriele Dubini, Giancarlo Pennati, Marc De Leval, Tain‐Yen Hsia and Alessandro Radaelli. Their work appears in journals such as Journal of Materials Engineering and Performance, Applied Sciences, Journal of Materials Science, Smart Materials and Structures and Clinical Neurophysiology.

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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