Lucio Ieronutti
- Computer Vision and Pattern Recognition top 5%
- Human-Computer Interaction top 5%
- Control and Systems Engineering
- Artificial Intelligence
- Sociology and Political Science
- Co-authors
- Luca ChittaroRoberto RanonLivia FornasariMassimo MolteniFranco FabbroPaolo BrambillaStefano BurigatDomenico Visintini
- Topics
- Augmented Reality Applications (5 papers)Human Motion and Animation (5 papers)Advanced Database Systems and Queries (4 papers)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionDevelopmental and Educational Psychology
- Journals
- Computers & EducationIEEE Transactions on Visualization and Computer GraphicsIEEE Computer Graphics and Applications
- Partner nations
- Italy
In The Last Decade
Lucio Ieronutti
16 papers receiving 290 citations
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 146
- Human-Computer Interaction 93
- Control and Systems Engineering 59
- Artificial Intelligence 59
- Sociology and Political Science 48
Countries citing papers authored by Lucio Ieronutti
This map shows the geographic impact of Lucio Ieronutti'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 Lucio Ieronutti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucio Ieronutti more than expected).
Fields of papers citing papers by Lucio Ieronutti
This network shows the impact of papers produced by Lucio Ieronutti. 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 Lucio Ieronutti. The network helps show where Lucio Ieronutti may publish in the future.
Co-authorship network of co-authors of Lucio Ieronutti
This figure shows the co-authorship network connecting the top 25 collaborators of Lucio Ieronutti. A scholar is included among the top collaborators of Lucio Ieronutti 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 Lucio Ieronutti. Lucio Ieronutti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 58 | |
| 10 | 2 | |
| 11 | 15 | |
| 12 | 50 | |
| 13 | 8 | |
| 14 | 26 | |
| 15 | 52 | |
| 16 | 12 | |
| 17 | 48 |
About Lucio Ieronutti
Lucio Ieronutti is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 17 papers that have together received 313 indexed citations. Recurring topics across this work include Augmented Reality Applications (5 papers), Human Motion and Animation (5 papers) and Advanced Database Systems and Queries (4 papers). The work is most often cited by research in Human-Computer Interaction (93 citations), Computer Vision and Pattern Recognition (146 citations) and Developmental and Educational Psychology (45 citations). Lucio Ieronutti has collaborated with scholars based in Italy. Frequent co-authors include Luca Chittaro, Roberto Ranon, Livia Fornasari, Massimo Molteni, Franco Fabbro, Paolo Brambilla, Stefano Burigat and Domenico Visintini. Their work appears in journals such as Computers & Education, IEEE Transactions on Visualization and Computer Graphics and IEEE Computer Graphics and Applications.
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.