Emanuele Ruffaldi

112 papers receiving 1.8k citations

Peers

Emanuele Ruffaldi
Comparison fields: 5 of 131
  • Human-Computer Interaction 408
  • Computer Science Applications 124
  • Cognitive Neuroscience 321
  • Developmental and Educational Psychology 211
  • Rehabilitation 101
Replace Mohamad Eid with:
Mohamad Eid United Arab Emirates
Gentiane Venture Japan
Jani Mäntyjärvi Finland
Kristof Van Laerhoven Germany
Asim Smailagic United States
Burkhard C. Wünsche New Zealand
Emanuele Menegatti Italy
Richard J. Jagacinski United States
Philippe Coiffet France
Ross Smith Australia
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Citations per year

Countries citing papers authored by Emanuele Ruffaldi

Since Specialization
Citations

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

Fields of papers citing papers by Emanuele Ruffaldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017265
2 2015175
3 2018124
4 201598
5 201771
6 201561
7 200946
8 201340
9 201738
10 201335
11 201734
12 201732
13 201132
14 200627
15 200627
16 200626
17 201926
18 202025
19 202025
20 202124

About Emanuele Ruffaldi

Emanuele Ruffaldi is a scholar working on Mechanical Engineering, Computer Vision and Pattern Recognition, Human-Computer Interaction, Cognitive Neuroscience and Control and Systems Engineering, having authored 116 papers that have together received 1.9k indexed citations. Recurring topics across this work include Teleoperation and Haptic Systems (33 papers), Virtual Reality Applications and Impacts (24 papers), Tactile and Sensory Interactions (21 papers), Robot Manipulation and Learning (13 papers), Human Motion and Animation (7 papers), Numerical Methods and Algorithms (7 papers), Muscle activation and electromyography studies (7 papers) and Sport Psychology and Performance (7 papers). The work is most often cited by research in Human-Computer Interaction (408 citations), Computer Science Applications (124 citations), Cognitive Neuroscience (321 citations), Developmental and Educational Psychology (211 citations) and Rehabilitation (101 citations). Emanuele Ruffaldi has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Carlo Alberto Avizzano, Alessandro Filippeschi, Lorenzo Peppoloni, Giacomo Dabisias, Massimo Bergamasco, Daniel Spikol, Mutlu Cukurova, Paolo Tripicchio, Markus Miezal and Gabriele Bleser. Their work appears in journals such as PRESENCE Virtual and Augmented Reality, Advanced Robotics, The Visual Computer, Robotics and Autonomous Systems and IEEE Transactions on Human-Machine Systems.

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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