Danilo De Rossi
- Biomedical Engineering top 2%
- Cognitive Neuroscience top 5%
- Polymers and Plastics top 5%
- Electrical and Electronic Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Enzo Pasquale ScilingoF. LorussiPaolo DarioAlberto MazzoldiAlessandro TognettiR. ParadisoClaudio DomeniciWalter Rocchia
- Topics
- Advanced Sensor and Energy Harvesting Materials (43 papers)Tactile and Sensory Interactions (13 papers)Muscle activation and electromyography studies (12 papers)
In The Last Decade
Danilo De Rossi
90 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 133
- Biomedical Engineering 1.4k
- Cognitive Neuroscience 494
- Polymers and Plastics 397
- Electrical and Electronic Engineering 354
- Computer Vision and Pattern Recognition 178
Countries citing papers authored by Danilo De Rossi
This map shows the geographic impact of Danilo De Rossi'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 Danilo De Rossi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danilo De Rossi more than expected).
Fields of papers citing papers by Danilo De Rossi
This network shows the impact of papers produced by Danilo De Rossi. 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 Danilo De Rossi. The network helps show where Danilo De Rossi may publish in the future.
Co-authorship network of co-authors of Danilo De Rossi
This figure shows the co-authorship network connecting the top 25 collaborators of Danilo De Rossi. A scholar is included among the top collaborators of Danilo De Rossi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Danilo De Rossi. Danilo De Rossi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | Realistic Humanlike Robots for Treatment of ASD, Social Training, and Research; Shown to Appeal to Youths with ASD, Cause Physiological Arousal, and Increase Human- to-Human Social Engagement | 14 |
| 4 | 37 | |
| 5 | 78 | |
| 6 | 11 | |
| 7 | 41 | |
| 8 | 6 | |
| 9 | Exploring emotional and imitational android-based interactions in autistic spectrum disorders | 33 |
| 10 | 11 | |
| 11 | 16 | |
| 12 | 4 | |
| 13 | 6 | |
| 14 | 29 | |
| 15 | 45 | |
| 16 | 19 | |
| 17 | 45 | |
| 18 | 3 | |
| 19 | Discrimination of wine using taste and smell sensors | 39 |
| 20 | 22 |
About Danilo De Rossi
Danilo De Rossi is a scholar working on Biomedical Engineering, Human-Computer Interaction and Cognitive Neuroscience, having authored 94 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (43 papers), Tactile and Sensory Interactions (13 papers) and Muscle activation and electromyography studies (12 papers). The work is most often cited by research in Human-Computer Interaction (176 citations), Biomedical Engineering (1.4k citations) and Polymers and Plastics (397 citations). Danilo De Rossi has collaborated with scholars based in Italy, Spain and Germany. Frequent co-authors include Enzo Pasquale Scilingo, F. Lorussi, Paolo Dario, Alberto Mazzoldi, Alessandro Tognetti, R. Paradiso, Claudio Domenici, Walter Rocchia, Gordon G. Wallace and Shirley Coyle. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Materials Science and Engineering C and Sensors and Actuators A Physical.
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.