Giancarlo Iannizzotto
- Cognitive Neuroscience top 10%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Human-Computer Interaction top 5%
- Electrical and Electronic Engineering
- Co-authors
- Lucia Lo BelloAndrea NucitaRosa Angela FabioTindara CaprìL. VitaFrancesco La RosaG. GrassoGaetano Patti
- Topics
- Gaze Tracking and Assistive Technology (10 papers)Medical Image Segmentation Techniques (6 papers)Video Surveillance and Tracking Methods (6 papers)
In The Last Decade
Giancarlo Iannizzotto
46 papers receiving 559 citations
Peers
Comparison fields: 5 of 91
- Cognitive Neuroscience 142
- Computer Vision and Pattern Recognition 140
- Computer Networks and Communications 124
- Human-Computer Interaction 93
- Electrical and Electronic Engineering 81
Countries citing papers authored by Giancarlo Iannizzotto
This map shows the geographic impact of Giancarlo Iannizzotto'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 Giancarlo Iannizzotto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giancarlo Iannizzotto more than expected).
Fields of papers citing papers by Giancarlo Iannizzotto
This network shows the impact of papers produced by Giancarlo Iannizzotto. 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 Giancarlo Iannizzotto. The network helps show where Giancarlo Iannizzotto may publish in the future.
Co-authorship network of co-authors of Giancarlo Iannizzotto
This figure shows the co-authorship network connecting the top 25 collaborators of Giancarlo Iannizzotto. A scholar is included among the top collaborators of Giancarlo Iannizzotto 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 Giancarlo Iannizzotto. Giancarlo Iannizzotto 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 | 4 | |
| 3 | 2 | |
| 4 | 19 | |
| 5 | 11 | |
| 6 | 29 | |
| 7 | 2 | |
| 8 | 26 | |
| 9 | 20 | |
| 10 | 6 | |
| 11 | 7 | |
| 12 | 3 | |
| 13 | 36 | |
| 14 | 14 | |
| 15 | 31 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 39 | |
| 20 | 2 |
About Giancarlo Iannizzotto
Giancarlo Iannizzotto is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 49 papers that have together received 591 indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (10 papers), Medical Image Segmentation Techniques (6 papers) and Video Surveillance and Tracking Methods (6 papers). The work is most often cited by research in Human-Computer Interaction (93 citations), Hardware and Architecture (51 citations) and Cognitive Neuroscience (142 citations). Giancarlo Iannizzotto has collaborated with scholars based in Italy, Iran and Israel. Frequent co-authors include Lucia Lo Bello, Andrea Nucita, Rosa Angela Fabio, Tindara Caprì, L. Vita, Francesco La Rosa, G. Grasso, Gaetano Patti, Maria Cristina Gugliandolo and Massimo Villari. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Image Processing and Expert Systems with 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.