Francesco Chiossi
- Human-Computer Interaction top 2%
- Cognitive Neuroscience top 10%
- Social Psychology top 10%
- Computer Vision and Pattern Recognition top 10%
- Experimental and Cognitive Psychology
- Co-authors
- Sven MayerRobin WelschLewis L. ChuangPatrizia BisiacchiGiorgia ConaGiovanni PellegrinoGiorgio ArcaraPascal Knierim
- Topics
- Virtual Reality Applications and Impacts (12 papers)Human-Automation Interaction and Safety (10 papers)EEG and Brain-Computer Interfaces (10 papers)
- Partner nations
- GermanyNetherlandsItaly
In The Last Decade
Francesco Chiossi
31 papers receiving 318 citations
Peers
Comparison fields: 5 of 63
- Human-Computer Interaction 163
- Cognitive Neuroscience 130
- Social Psychology 101
- Computer Vision and Pattern Recognition 73
- Experimental and Cognitive Psychology 39
Countries citing papers authored by Francesco Chiossi
This map shows the geographic impact of Francesco Chiossi'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 Francesco Chiossi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Chiossi more than expected).
Fields of papers citing papers by Francesco Chiossi
This network shows the impact of papers produced by Francesco Chiossi. 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 Francesco Chiossi. The network helps show where Francesco Chiossi may publish in the future.
Co-authorship network of co-authors of Francesco Chiossi
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Chiossi. A scholar is included among the top collaborators of Francesco Chiossi 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 Francesco Chiossi. Francesco Chiossi 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 | 0 | |
| 3 | 4 | |
| 4 | 6 | |
| 5 | 7 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 12 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 7 | |
| 14 | 12 | |
| 15 | 29 | |
| 16 | 11 | |
| 17 | 14 | |
| 18 | 8 | |
| 19 | 53 | |
| 20 | Developing a N400 Brain Computer Interface Based on Semantic Expectancy. | 2 |
About Francesco Chiossi
Francesco Chiossi is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Physical Therapy, Sports Therapy and Rehabilitation, having authored 32 papers that have together received 321 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (12 papers), Human-Automation Interaction and Safety (10 papers) and EEG and Brain-Computer Interfaces (10 papers). The work is most often cited by research in Human-Computer Interaction (163 citations), Cognitive Neuroscience (130 citations) and Social Psychology (101 citations). Francesco Chiossi has collaborated with scholars based in Germany, Netherlands and Italy. Frequent co-authors include Sven Mayer, Robin Welsch, Lewis L. Chuang, Patrizia Bisiacchi, Giorgia Cona, Giovanni Pellegrino, Giorgio Arcara, Pascal Knierim, Francesco Piccione and Ann Huang. Their work appears in journals such as NeuroImage, Frontiers in Physiology and IEEE Transactions on Visualization and Computer Graphics.
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.