Piero Mussio
- Human-Computer Interaction top 5%
- Artificial Intelligence top 10%
- Software top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Co-authors
- Daniela FogliMaria Francesca CostabileAntonio PiccinnoLoredana Parasiliti ProvenzaShi-Kuo ChangPaola CarraraBarbara Rita BarricelliPietro Baroni
- Topics
- Semantic Web and Ontologies (12 papers)Usability and User Interface Design (12 papers)Spreadsheets and End-User Computing (6 papers)
- Partner nations
- ItalyNetherlandsRomania
In The Last Decade
Piero Mussio
42 papers receiving 334 citations
Peers
Comparison fields: 5 of 70
- Human-Computer Interaction 122
- Artificial Intelligence 100
- Software 89
- Computer Vision and Pattern Recognition 68
- Information Systems 54
Countries citing papers authored by Piero Mussio
This map shows the geographic impact of Piero Mussio'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 Piero Mussio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Piero Mussio more than expected).
Fields of papers citing papers by Piero Mussio
This network shows the impact of papers produced by Piero Mussio. 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 Piero Mussio. The network helps show where Piero Mussio may publish in the future.
Co-authorship network of co-authors of Piero Mussio
This figure shows the co-authorship network connecting the top 25 collaborators of Piero Mussio. A scholar is included among the top collaborators of Piero Mussio 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 Piero Mussio. Piero Mussio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Multimodal mood-based annotation | 1 |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | Metaphorical Cartography for Knowledge Creation and Sharing | 1 |
| 6 | 5 | |
| 7 | 9 | |
| 8 | Towards a contextualized access to the cultural heritage world using 360 Panoramic Images | 8 |
| 9 | Annotation in cooperative work: from paper-based to the web one. | 5 |
| 10 | Software Environments for End-User Development and Tailoring | 13 |
| 11 | An agent-based architecture to support knowledge management in interactive system life-cycle. | 1 |
| 12 | Issues in the combination of visual and haptic interaction | 3 |
| 13 | POST-WIMP INTERACTIVE SYSTEMS: MODELING VISUAL AND HAPTIC INTERACTION | 1 |
| 14 | Grammars working on layered strings | 2 |
| 15 | Participatory Interface Design: From Naive Models to Systems. | 4 |
| 16 | Customized Visual Language Design. | 12 |
| 17 | 3 | |
| 18 | 2 | |
| 19 | 6 | |
| 20 | 7 |
About Piero Mussio
Piero Mussio is a scholar working on Human-Computer Interaction, Software and Computer Science Applications, having authored 47 papers that have together received 375 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (12 papers), Usability and User Interface Design (12 papers) and Spreadsheets and End-User Computing (6 papers). The work is most often cited by research in Software (89 citations), Human-Computer Interaction (122 citations) and Computer Science Applications (38 citations). Piero Mussio has collaborated with scholars based in Italy, Netherlands and Romania. Frequent co-authors include Daniela Fogli, Maria Francesca Costabile, Antonio Piccinno, Loredana Parasiliti Provenza, Shi-Kuo Chang, Paola Carrara, Barbara Rita Barricelli, Pietro Baroni, Paolo Bottoni and Andrea Marcante. Their work appears in journals such as Pattern Recognition Letters, Image and Vision Computing and Information Processing & Management.
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.