Michele Scandola

1.4k citations
65 papers · 875 indexed · h-index 18

Michele Scandola

59 papers receiving 868 citations

Peers

Michele Scandola
Comparison fields: 5 of 96
  • Human-Computer Interaction 221
  • Cognitive Neuroscience 455
  • Rehabilitation 114
  • Social Psychology 335
  • Psychiatry and Mental health 203
Replace Roberta Ronchi with:
Roberta Ronchi Switzerland
Antonella Di Vita Italy
Daniel Pérez-Marcos Spain
Adriana Salatino Italy
Jared Medina United States
Matteo Martini United Kingdom
Marion Luyat France
Xaver Fuchs Germany
L. James Smart United States
Jeremy C. Rietschel United States
Michele Scandola relative to Roberta Ronchi Switzerland Roberta Ronchi's profile →
Citations per field
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Roberta Ronchi · 1×
Citations per year

Countries citing papers authored by Michele Scandola

Since Specialization
Citations

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

Fields of papers citing papers by Michele Scandola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20249
2 20241
3 20240
4 20232
5 20233
6 20235
7 202225
8 20226
9 20224
10 202210
11 20224
12 20214
13 201835
14 201834
15 201637
16 201516
17 201416
18 201442
19
FORCE FEEDBACK IN PSYCHOPHYSICS RESEARCH: EVEN LOW PERFORMANCE ALGORITHMS MAY LEAD TO REALISTIC PERCEPTUAL EXPERIENCE
20112
20 201123

About Michele Scandola

Michele Scandola is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Social Psychology, having authored 65 papers that have together received 875 indexed citations. Recurring topics across this work include Action Observation and Synchronization (24 papers), Spatial Neglect and Hemispheric Dysfunction (13 papers), Virtual Reality Applications and Impacts (10 papers), Stroke Rehabilitation and Recovery (9 papers), Psychosomatic Disorders and Their Treatments (8 papers), Musculoskeletal pain and rehabilitation (7 papers), Motor Control and Adaptation (7 papers) and Traumatic Brain Injury Research (6 papers). The work is most often cited by research in Human-Computer Interaction (221 citations), Cognitive Neuroscience (455 citations) and Rehabilitation (114 citations). Michele Scandola has collaborated with scholars based in Italy, United Kingdom and France. Frequent co-authors include Valentina Moro, Salvatore Maria Aglioti, Renato Avesani, Enea Francesco Pavone, Aikaterini Fotopoulou, Paul M. Jenkinson, Valentina Pacella, Gaetano Tieri, Emmanuele Tidoni and Silvio Ionta. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

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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