F. Ruffini

15.7k total citations
14 papers, 121 citations indexed

About

F. Ruffini is a scholar working on Artificial Intelligence, Civil and Structural Engineering and Control and Systems Engineering. According to data from OpenAlex, F. Ruffini has authored 14 papers receiving a total of 121 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 2 papers in Civil and Structural Engineering and 2 papers in Control and Systems Engineering. Recurrent topics in F. Ruffini's work include Explainable Artificial Intelligence (XAI) (4 papers), Privacy-Preserving Technologies in Data (4 papers) and Photovoltaic System Optimization Techniques (2 papers). F. Ruffini is often cited by papers focused on Explainable Artificial Intelligence (XAI) (4 papers), Privacy-Preserving Technologies in Data (4 papers) and Photovoltaic System Optimization Techniques (2 papers). F. Ruffini collaborates with scholars based in Italy, United States and Belgium. F. Ruffini's co-authors include Emanuele Crisostomi, Mauro Tucci, Alessandro Betti, Alessandro Renda, Pietro Ducange, Francesco Marcelloni, Maurizio Postorino, Giovanni Nardini, Andrea Masini and Marco Morelli and has published in prestigious journals such as IEEE Access, Renewable Energy and Computer Communications.

In The Last Decade

F. Ruffini

11 papers receiving 116 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
F. Ruffini Italy	5	32	20	19	19	15	14	121
H. L. Snoek Switzerland	3	27 0.8×	21 1.1×	9 0.5×	10 0.5×	12 0.8×	8	147
Songyue Liu China	8	8 0.3×	21 1.1×	15 0.8×	5 0.3×	25 1.7×	23	148
Rajib Kumar Halder Bangladesh	5	71 2.2×	9 0.5×	6 0.3×	4 0.2×	5 0.3×	10	186
Husnain Ali Hong Kong	10	49 1.5×	7 0.3×	111 5.8×	12 0.6×	91 6.1×	29	248
Daniel Manzi Brazil	8	21 0.7×	42 2.1×	17 0.9×	40 2.1×	3 0.2×	9	186
Paolo Comelli Italy	6	41 1.3×	7 0.3×	7 0.4×	39 2.1×	9 0.6×	11	263
Jintao Guo China	8	47 1.5×	4 0.2×	4 0.2×	16 0.8×	23 1.5×	21	163
Farzad Hayati United Kingdom	7	4 0.1×	12 0.6×	17 0.9×	34 1.8×	23 1.5×	14	98
Zexin Sun China	6	15 0.5×	3 0.1×	3 0.2×	15 0.8×	16 1.1×	13	115
Ning Tian China	4	6 0.2×	48 2.4×	13 0.7×	9 0.5×	10 0.7×	7	103

Countries citing papers authored by F. Ruffini

Since Specialization

Citations

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

Fields of papers citing papers by F. Ruffini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Ruffini

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

All Works

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14 of 14 papers shown

Ducange, Pietro, et al.. (2026). Fuzzy Decision Trees for Explainable Brain Tumor Classification: A Comparative Study with Deep Neural Networks and Classical Binary Decision Trees. Information Systems Frontiers.

Ersöz, Filiz, et al.. (2025). Artificial Intelligence in Crime Prediction: A Survey With a Focus on Explainability. IEEE Access. 13. 59646–59674. 1 indexed citations

Marcelloni, Francesco, et al.. (2024). On Predicting Spare Parts for Field Services by Leveraging Fault Description and Historical Repairing Data. IEEE Access. 12. 162756–162768.

Ducange, Pietro, Francesco Marcelloni, Alessandro Renda, & F. Ruffini. (2024). Federated Learning of XAI Models in Healthcare: A Case Study on Parkinson’s Disease. Cognitive Computation. 16(6). 3051–3076. 9 indexed citations

Ducange, Pietro, Francesco Marcelloni, Alessandro Renda, & F. Ruffini. (2024). Consistent Post-Hoc Explainability in Federated Learning through Federated Fuzzy Clustering. CINECA IRIS Institutial research information system (University of Pisa). 1–10.

Ducange, Pietro, et al.. (2023). Federated TSK Models for Predicting Quality of Experience in B5G/6G Networks. CINECA IRIS Institutial research information system (University of Pisa). 54. 1–8. 1 indexed citations

Ducange, Pietro, Francesco Marcelloni, Giovanni Nardini, et al.. (2023). Enabling federated learning of explainable AI models within beyond-5G/6G networks. Computer Communications. 210. 356–375. 24 indexed citations

Betti, Alessandro, et al.. (2021). Condition monitoring and predictive maintenance methodologies for hydropower plants equipment. Renewable Energy. 171. 246–253. 52 indexed citations

Mosconi, Maria Giulia, Maurizio Paciaroni, Giancarlo Agnelli, et al.. (2020). SMASH-U classification: a tool for aetiology-oriented management of patients with acute haemorrhagic stroke. Internal and Emergency Medicine. 16(1). 109–114. 9 indexed citations

10.

Tucci, Mauro, et al.. (2020). One year Operation of an Innovative Condition Monitoring Technique in Four Hydropower Plants. CINECA IRIS Institutial research information system (University of Pisa). 1 indexed citations

11.

Troiano, Gianmarco, et al.. (2016). Patient mobility for bone marrow transplant: the experience of the Perugia Hospital, years 2000-2013.. PubMed. 27(5). 769–76. 4 indexed citations

12.

Morelli, Marco, Andrea Masini, F. Ruffini, & M. A. C. Potenza. (2014). Web tools concerning performance analysis and planning support for solar energy plants starting from remotely sensed optical images. Environmental Impact Assessment Review. 52. 18–23. 4 indexed citations

13.

Morelli, Marco, F. Ruffini, Andrea Masini, & M. A. C. Potenza. (2013). Web tools for performance analysis and planning support for solar energy plants (PV, CSP, CPV) starting from remotely sensed optical images. EnviroInfo. 155–158. 2 indexed citations

14.

Gentile, Giorgio, Maurizio Postorino, Luigi De Angelis, et al.. (2009). Estimated GFR reporting is not sufficient to allow detection of chronic kidney disease in an Italian regional hospital. BMC Nephrology. 10(1). 24–24. 14 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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