Marco Tanfoni

1.7k total citations
5 papers, 13 citations indexed

About

Marco Tanfoni is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Marco Tanfoni has authored 5 papers receiving a total of 13 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 1 paper in Control and Systems Engineering and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Marco Tanfoni's work include Generative Adversarial Networks and Image Synthesis (2 papers), Face recognition and analysis (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Marco Tanfoni is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (2 papers), Face recognition and analysis (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Marco Tanfoni collaborates with scholars based in Italy. Marco Tanfoni's co-authors include Monica Bianchini, Elia Landi, Marco Mugnaini, Franco Scarselli, Ada Fort, Marco Maggini, Paolo Andreini and Simone Bonechi and has published in prestigious journals such as Pattern Recognition, Electronics and Use Siena air (University of Siena).

In The Last Decade

Marco Tanfoni

2 papers receiving 13 citations

Peers

Marco Tanfoni
Yunjie Pan China
Fan-Yun Sun Taiwan
S. Q. Qu China
J. Jadlovsky Slovakia
X. Lei China
Zishun Zhou China
Eric Kolve United States
Hanlin Xu China
Seb Noury United Kingdom
Kate Baumli United Kingdom
Yunjie Pan China
Marco Tanfoni
Citations per year, relative to Marco Tanfoni Marco Tanfoni (= 1×) peers Yunjie Pan

Countries citing papers authored by Marco Tanfoni

Since Specialization
Citations

This map shows the geographic impact of Marco Tanfoni'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 Marco Tanfoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Tanfoni more than expected).

Fields of papers citing papers by Marco Tanfoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marco Tanfoni. 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 Marco Tanfoni. The network helps show where Marco Tanfoni may publish in the future.

Co-authorship network of co-authors of Marco Tanfoni

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Tanfoni. A scholar is included among the top collaborators of Marco Tanfoni 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 Marco Tanfoni. Marco Tanfoni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
1.
Andreini, Paolo, Marco Tanfoni, Simone Bonechi, & Monica Bianchini. (2025). Leveraging synthetic data for zero–shot and few–shot circle detection in real–world domains. Pattern Recognition. 172. 112407–112407.
2.
Tanfoni, Marco, et al.. (2024). Facial Segmentation in Deepfake Classification: a Transfer Learning Approach. Procedia Computer Science. 246. 4160–4168.
3.
Tanfoni, Marco, et al.. (2024). Generated or Not Generated (GNG): The Importance of Background in the Detection of Fake Images. Electronics. 13(16). 3161–3161. 3 indexed citations
4.
Tanfoni, Marco, et al.. (2024). A Hybrid Deep Learning Approach for Liver Tumor Segmentation Using DeepLabV3+ and Hidden Markov Models. Use Siena air (University of Siena). 1–5.
5.
Landi, Elia, Marco Mugnaini, Ada Fort, et al.. (2023). A MobileNet Neural Network Model for Fault Diagnosis in Roller Bearings. Use Siena air (University of Siena). 10 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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2026