Giancarlo Iannizzotto

919 total citations
49 papers, 591 citations indexed

About

Giancarlo Iannizzotto is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Human-Computer Interaction. According to data from OpenAlex, Giancarlo Iannizzotto has authored 49 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 15 papers in Cognitive Neuroscience and 11 papers in Human-Computer Interaction. Recurrent topics in Giancarlo Iannizzotto's work include Gaze Tracking and Assistive Technology (10 papers), Medical Image Segmentation Techniques (6 papers) and Video Surveillance and Tracking Methods (6 papers). Giancarlo Iannizzotto is often cited by papers focused on Gaze Tracking and Assistive Technology (10 papers), Medical Image Segmentation Techniques (6 papers) and Video Surveillance and Tracking Methods (6 papers). Giancarlo Iannizzotto collaborates with scholars based in Italy, Iran and Israel. Giancarlo Iannizzotto's co-authors include Lucia Lo Bello, Andrea Nucita, Rosa Angela Fabio, Tindara Caprì, L. Vita, Francesco La Rosa, G. Grasso, Gaetano Patti, Massimo Villari and Maria Cristina Gugliandolo and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Giancarlo Iannizzotto

46 papers receiving 559 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Giancarlo Iannizzotto Italy 16 142 140 124 93 81 49 591
José María Plaza Spain 14 59 0.4× 198 1.4× 58 0.5× 38 0.4× 95 1.2× 64 685
Jing Fan China 15 287 2.0× 93 0.7× 39 0.3× 117 1.3× 29 0.4× 37 695
Vigneshwaran Subbaraju Singapore 12 122 0.9× 226 1.6× 102 0.8× 51 0.5× 125 1.5× 33 558
Sangseok Yun South Korea 11 136 1.0× 174 1.2× 83 0.7× 11 0.1× 125 1.5× 51 633
Francisco J. Rodríguez-Lera Spain 13 72 0.5× 115 0.8× 38 0.3× 38 0.4× 32 0.4× 60 491
Christopher Baker United States 13 182 1.3× 362 2.6× 44 0.4× 26 0.3× 83 1.0× 29 1.0k
Luı́s Alfredo Vidal de Carvalho Brazil 10 55 0.4× 39 0.3× 24 0.2× 43 0.5× 46 0.6× 61 374
Anna Gruebler Japan 11 125 0.9× 73 0.5× 199 1.6× 77 0.8× 246 3.0× 17 542
Maja Matarić United States 10 127 0.9× 232 1.7× 19 0.2× 72 0.8× 45 0.6× 15 824
Vojkan Mihajlović Netherlands 16 621 4.4× 86 0.6× 52 0.4× 70 0.8× 87 1.1× 51 982

Countries citing papers authored by Giancarlo Iannizzotto

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Leonardi, Luca, et al.. (2025). A deep learning-based Adaptive Data Rate algorithm for LoRaWAN networks. Internet of Things. 34. 101786–101786.
2.
Nucita, Andrea, et al.. (2023). Telerehabilitation with Computer Vision-Assisted Markerless Measures: A Pilot Study with Rett Syndrome Patients. Electronics. 12(2). 435–435. 4 indexed citations
3.
Iannizzotto, Giancarlo, Lucia Lo Bello, & Andrea Nucita. (2023). Improving BLE-Based Passive Human Sensing with Deep Learning. Sensors. 23(5). 2581–2581. 2 indexed citations
4.
Iannizzotto, Giancarlo, Lucia Lo Bello, & Gaetano Patti. (2021). Personal Protection Equipment detection system for embedded devices based on DNN and Fuzzy Logic. Expert Systems with Applications. 184. 115447–115447. 29 indexed citations
5.
Caprì, Tindara, et al.. (2021). Social and Cognitive Interactions Through an Interactive School Service for RTT Patients at the COVID-19 Time. Frontiers in Psychology. 12. 676238–676238. 11 indexed citations
6.
Fabio, Rosa Angela, et al.. (2021). The role of a virtual avatar in attention and memory tasks in Rett syndrome. BMC Neurology. 21(1). 223–223. 2 indexed citations
7.
Caprì, Tindara, Andrea Nucita, Giancarlo Iannizzotto, et al.. (2020). Telerehabilitation for Improving Adaptive Skills of Children and Young Adults with Multiple Disabilities: a Systematic Review. Review Journal of Autism and Developmental Disorders. 8(2). 244–252. 35 indexed citations
8.
Fabio, Rosa Angela, et al.. (2019). Interactive Avatar Boosts the Performances of Children with Attention Deficit Hyperactivity Disorder in Dynamic Measures of Intelligence. Cyberpsychology Behavior and Social Networking. 22(9). 588–596. 26 indexed citations
9.
Fabio, Rosa Angela, Giancarlo Iannizzotto, Andrea Nucita, & Tindara Caprì. (2019). Adult listening behaviour, music preferences and emotions in the mobile context. Does mobile context affect elicited emotions?. Cogent Engineering. 6(1). 6 indexed citations
10.
Caprì, Tindara, et al.. (2019). Atypical Visual Scan Path Affects Remembering in ADHD. Journal of the International Neuropsychological Society. 26(6). 557–566. 20 indexed citations
11.
Iannizzotto, Giancarlo, et al.. (2016). JxActinium. 1611–1618. 7 indexed citations
12.
Iannizzotto, Giancarlo, et al.. (2016). A Person Authentication System Based on RFID Tags and a Cascade of Face Recognition Algorithms. IEEE Transactions on Circuits and Systems for Video Technology. 27(8). 1676–1690. 12 indexed citations
13.
14.
Iannizzotto, Giancarlo & Francesco La Rosa. (2010). Competitive Combination of Multiple Eye Detection and Tracking Techniques. IEEE Transactions on Industrial Electronics. 58(8). 3151–3159. 14 indexed citations
15.
Cardile, Francesco, Giancarlo Iannizzotto, & Francesco La Rosa. (2010). A vision-based system for elderly patients monitoring. 195–202. 15 indexed citations
16.
Marino, Silvia, Edoardo Sessa, Giuseppe Di Lorenzo, et al.. (2007). Quantitative Analysis of Pursuit Ocular Movements in Parkinson’s Disease by Using a Video-Based Eye Tracking System. European Neurology. 58(4). 193–197. 31 indexed citations
17.
Iannizzotto, Giancarlo, et al.. (2006). A CNN-based Framework for 2D Still-Image Segmentation. 18. 210–215. 1 indexed citations
18.
Iannizzotto, Giancarlo & L. Vita. (2002). Real-time object tracking with movels and affine transformations. 1. 316–318. 5 indexed citations
19.
Iannizzotto, Giancarlo & L. Vita. (2000). Fast and accurate edge-based segmentation with no contour smoothing in 2-D real images. IEEE Transactions on Image Processing. 9(7). 1232–1237. 39 indexed citations
20.
Iannizzotto, Giancarlo, L. Vita, & Antonio Puliafito. (1996). A New Shape Distance for Content Based Image Retrieval.. 11(3). 371–386. 2 indexed citations

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.

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