Federico D’Antoni

406 total citations
26 papers, 266 citations indexed

About

Federico D’Antoni is a scholar working on Endocrinology, Diabetes and Metabolism, Biomedical Engineering and Pathology and Forensic Medicine. According to data from OpenAlex, Federico D’Antoni has authored 26 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Biomedical Engineering and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Federico D’Antoni's work include Diabetes Management and Research (10 papers), Medical Imaging and Analysis (6 papers) and Musculoskeletal pain and rehabilitation (5 papers). Federico D’Antoni is often cited by papers focused on Diabetes Management and Research (10 papers), Medical Imaging and Analysis (6 papers) and Musculoskeletal pain and rehabilitation (5 papers). Federico D’Antoni collaborates with scholars based in Italy. Federico D’Antoni's co-authors include Mario Merone, Luca Vollero, Vincenzo Piemonte, Vincenzo Denaro, Luca Ambrosio, Gianluca Vadalà, Fabrizio Russo, Rocco Papalia, Francesco Conte and Paolo Soda and has published in prestigious journals such as Scientific Reports, IEEE Access and Biochimica et Biophysica Acta (BBA) - Biomembranes.

In The Last Decade

Federico D’Antoni

25 papers receiving 257 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Federico D’Antoni Italy 10 65 61 42 41 39 26 266
Luke Sy Australia 9 20 0.3× 84 1.4× 26 0.6× 33 0.8× 71 1.8× 13 258
Chuanbo Wang China 9 170 2.6× 81 1.3× 11 0.3× 8 0.2× 50 1.3× 33 440
Vlad Ciobanu Romania 11 11 0.2× 61 1.0× 15 0.4× 20 0.5× 18 0.5× 41 390
Song-Hee Cheon South Korea 9 7 0.1× 56 0.9× 21 0.5× 76 1.9× 39 1.0× 19 391
Carlo Dindorf Germany 8 16 0.2× 49 0.8× 8 0.2× 28 0.7× 51 1.3× 36 224
Ikram Chairi Morocco 6 17 0.3× 45 0.7× 10 0.2× 22 0.5× 49 1.3× 10 239
Maryam Hadizadeh Malaysia 10 14 0.2× 22 0.4× 19 0.5× 5 0.1× 63 1.6× 18 252
Zhiguan Huang China 12 30 0.5× 94 1.5× 6 0.1× 12 0.3× 120 3.1× 34 562
Shu-Ying Chen Taiwan 6 33 0.5× 16 0.3× 32 0.8× 25 0.6× 10 0.3× 8 431
Jonas L. Isaksen Denmark 11 86 1.3× 40 0.7× 2 0.0× 6 0.1× 38 1.0× 44 411

Countries citing papers authored by Federico D’Antoni

Since Specialization
Citations

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

Fields of papers citing papers by Federico D’Antoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Federico D’Antoni. 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 Federico D’Antoni. The network helps show where Federico D’Antoni may publish in the future.

Co-authorship network of co-authors of Federico D’Antoni

This figure shows the co-authorship network connecting the top 25 collaborators of Federico D’Antoni. A scholar is included among the top collaborators of Federico D’Antoni 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 Federico D’Antoni. Federico D’Antoni 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.
D’Antoni, Federico, Luca Ambrosio, Giuseppe Francesco Papalia, et al.. (2025). Prevention and management of degenerative lumbar spine disorders through artificial intelligence-based decision support systems: a systematic review. BMC Musculoskeletal Disorders. 26(1). 126–126. 1 indexed citations
2.
Marchetti, A., et al.. (2025). Deep reinforcement learning for Type 1 Diabetes: Dual PPO controller for personalized insulin management. Computers in Biology and Medicine. 191. 110147–110147. 1 indexed citations
3.
4.
D’Antoni, Federico, et al.. (2024). A zero-knowledge proof federated learning on DLT for healthcare data. Journal of Parallel and Distributed Computing. 196. 104992–104992. 4 indexed citations
5.
D’Antoni, Federico, Daniela Lo Presti, Emiliano Schena, et al.. (2024). Combining Fiber Bragg Grating and Artificial Intelligence Technologies for Supporting Epidural Procedures. IEEE Transactions on Biomedical Engineering. 71(11). 3213–3220. 4 indexed citations
6.
D’Antoni, Federico, Francesca De Tommasi, Daniela Lo Presti, et al.. (2024). Sleeping Posture Classification Through a Multi-Sensing Smart Mattress Based On Fiber Bragg Grating Sensors: A Feasibility Study. 322–327. 2 indexed citations
7.
D’Antoni, Federico, Francesca De Tommasi, Carlo Massaroni, et al.. (2024). Fiber Bragg Grating Sensors Combined With Artificial Intelligence for Noninvasive Breast Tumor Identification. IEEE Sensors Journal. 25(3). 4687–4696. 1 indexed citations
8.
D’Antoni, Federico, A. Marchetti, Silvia Pieralice, et al.. (2023). Layered Meta-Learning Algorithm for Predicting Adverse Events in Type 1 Diabetes. IEEE Access. 11. 9074–9094. 13 indexed citations
9.
10.
D’Antoni, Federico, Fabrizio Russo, Carlo Augusto Mallio, et al.. (2023). Fully automated evaluation of paraspinal muscle morphology and composition in patients with low back pain. Intelligence-Based Medicine. 9. 100130–100130. 1 indexed citations
11.
Russo, Fabrizio, Luca Ambrosio, Federico D’Antoni, et al.. (2022). Natural language processing in low back pain and spine diseases: A systematic review. Frontiers in Surgery. 9. 957085–957085. 16 indexed citations
12.
Biggio, Monica, Daniele Caligiore, Federico D’Antoni, Marco Bove, & Mario Merone. (2022). Machine learning for exploring neurophysiological functionality in multiple sclerosis based on trigeminal and hand blink reflexes. Scientific Reports. 12(1). 21078–21078. 3 indexed citations
13.
D’Antoni, Federico, et al.. (2022). Prediction of Glucose Concentration in Children with Type 1 Diabetes Using Neural Networks: An Edge Computing Application. Bioengineering. 9(5). 183–183. 13 indexed citations
14.
D’Antoni, Federico, et al.. (2022). Identification of Optimal Training for Prediction of Glucose Levels in Type-1-Diabetes Using Edge Computing. 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME). 1–5. 2 indexed citations
15.
D’Antoni, Federico, Fabrizio Russo, Luca Ambrosio, et al.. (2022). Artificial Intelligence and Computer Aided Diagnosis in Chronic Low Back Pain: A Systematic Review. International Journal of Environmental Research and Public Health. 19(10). 5971–5971. 33 indexed citations
16.
D’Antoni, Federico, et al.. (2022). A New Glycemic closed-loop control based on Dyna-Q for Type-1-Diabetes. Biomedical Signal Processing and Control. 81. 104492–104492. 10 indexed citations
17.
Infantino, María, Mario Merone, Mariangela Manfredi, et al.. (2020). Positive tissue transglutaminase antibodies with negative endomysial antibodies: Unresolved issues in diagnosing celiac disease. Journal of Immunological Methods. 489. 112910–112910. 7 indexed citations
18.
Merone, Mario, Rosa Sicilia, Ermanno Cordelli, et al.. (2019). Tackling imbalance radiomics in acoustic neuroma. International Journal of Data Mining and Bioinformatics. 22(4). 365–365. 6 indexed citations
19.
Sicilia, Rosa, Mario Merone, Roberto Valenti, et al.. (2018). Cross-topic Rumour Detection in the Health Domain. 2056–2063. 7 indexed citations
20.
D’Antoni, Federico, Stefania A. Mari, Francesca Cherubino, et al.. (2012). Role of a conserved glycine triplet in the NSS amino acid transporter KAAT1. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1818(7). 1737–1744. 9 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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