Andrea Bianchi
- Human-Computer Interaction top 0.2%
- Cognitive Neuroscience top 5%
- Information Systems top 2%
- Mechanical Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Ian OakleyMyung Jin KimVassilis KostakosWoojin LeeKwangyun WohnAaron QuigleyHui-Shyong YeoSungjae Hwang
- Topics
- Interactive and Immersive Displays (37 papers)Tactile and Sensory Interactions (37 papers)User Authentication and Security Systems (14 papers)
- Partner nations
- South KoreaUnited StatesPortugal
In The Last Decade
Andrea Bianchi
72 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 85
- Human-Computer Interaction 748
- Cognitive Neuroscience 550
- Information Systems 307
- Mechanical Engineering 187
- Computer Vision and Pattern Recognition 186
Countries citing papers authored by Andrea Bianchi
This map shows the geographic impact of Andrea Bianchi'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 Andrea Bianchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Bianchi more than expected).
Fields of papers citing papers by Andrea Bianchi
This network shows the impact of papers produced by Andrea Bianchi. 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 Andrea Bianchi. The network helps show where Andrea Bianchi may publish in the future.
Co-authorship network of co-authors of Andrea Bianchi
This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Bianchi. A scholar is included among the top collaborators of Andrea Bianchi 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 Andrea Bianchi. Andrea Bianchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 15 | |
| 9 | 17 | |
| 10 | Using video games to promote engineering careers | 11 |
| 11 | 12 | |
| 12 | 5 | |
| 13 | 5 | |
| 14 | 11 | |
| 15 | 1 | |
| 16 | 25 | |
| 17 | 3 | |
| 18 | 0 | |
| 19 | 12 | |
| 20 | The Haptic Wheel: Design & Evaluation Of A Tactile Password System | 3 |
About Andrea Bianchi
Andrea Bianchi is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Computer Science Applications, having authored 76 papers that have together received 1.1k indexed citations. Recurring topics across this work include Interactive and Immersive Displays (37 papers), Tactile and Sensory Interactions (37 papers) and User Authentication and Security Systems (14 papers). The work is most often cited by research in Human-Computer Interaction (748 citations), Cognitive Neuroscience (550 citations) and Signal Processing (176 citations). Andrea Bianchi has collaborated with scholars based in South Korea, United States and Portugal. Frequent co-authors include Ian Oakley, Myung Jin Kim, Vassilis Kostakos, Woojin Lee, Kwangyun Wohn, Aaron Quigley, Hui-Shyong Yeo, Sungjae Hwang, Juyoung Lee and Jun‐Dong Cho. Their work appears in journals such as Computer, Additive manufacturing and Personal and Ubiquitous Computing.
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.