Fabrizio Nunnari
- Human-Computer Interaction top 5%
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering
- Artificial Intelligence
- Cognitive Neuroscience
- Co-authors
- Vincenzo LombardoRossana DamianoAlexis HéloirCristina GenaDidier StrickerKiran VaranasiCarla SimoneTsvi Kuflik
- Topics
- Hand Gesture Recognition Systems (8 papers)Speech and dialogue systems (5 papers)Human Pose and Action Recognition (5 papers)
In The Last Decade
Fabrizio Nunnari
32 papers receiving 190 citations
Peers
Comparison fields: 5 of 56
- Human-Computer Interaction 108
- Computer Vision and Pattern Recognition 101
- Control and Systems Engineering 46
- Artificial Intelligence 41
- Cognitive Neuroscience 30
Countries citing papers authored by Fabrizio Nunnari
This map shows the geographic impact of Fabrizio Nunnari'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 Fabrizio Nunnari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabrizio Nunnari more than expected).
Fields of papers citing papers by Fabrizio Nunnari
This network shows the impact of papers produced by Fabrizio Nunnari. 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 Fabrizio Nunnari. The network helps show where Fabrizio Nunnari may publish in the future.
Co-authorship network of co-authors of Fabrizio Nunnari
This figure shows the co-authorship network connecting the top 25 collaborators of Fabrizio Nunnari. A scholar is included among the top collaborators of Fabrizio Nunnari 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 Fabrizio Nunnari. Fabrizio Nunnari 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 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | Proceedings of the 1st Workshop on Advanced Visual Interfaces for Cultural Heritage co-located with the International Working Conference on Advanced Visual Interfaces {(AVI} 2016), Bari, Italy, June 7-10, 2016 | 4 |
| 10 | 9 | |
| 11 | 2 | |
| 12 | 12 | |
| 13 | MESH, Mise èn Scene Helper | 1 |
| 14 | Ontological Domain Coding for Cultural Heritage Mediation | 3 |
| 15 | 34 | |
| 16 | Dramatization Meets Narrative Presentations | 7 |
| 17 | 6 | |
| 18 | The Virtual Electronic Poem (VEP) Project | 2 |
| 19 | 5 | |
| 20 | ThreeDness: Representing Awareness in cooperative Applications. | 2 |
About Fabrizio Nunnari
Fabrizio Nunnari is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Geology, having authored 36 papers that have together received 203 indexed citations. Recurring topics across this work include Hand Gesture Recognition Systems (8 papers), Speech and dialogue systems (5 papers) and Human Pose and Action Recognition (5 papers). The work is most often cited by research in Human-Computer Interaction (108 citations), Computer Vision and Pattern Recognition (101 citations) and Geology (13 citations). Fabrizio Nunnari has collaborated with scholars based in Italy, Germany and France. Frequent co-authors include Vincenzo Lombardo, Rossana Damiano, Alexis Héloir, Cristina Gena, Didier Stricker, Kiran Varanasi, Carla Simone, Tsvi Kuflik, Patrick Gebhard and Berardina De Carolis. Their work appears in journals such as User Modeling and User-Adapted Interaction, Computers & Graphics and Multimedia 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.