Francesca Ieva

2.3k total citations
114 papers, 1.2k citations indexed

About

Francesca Ieva is a scholar working on Statistics and Probability, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Francesca Ieva has authored 114 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Statistics and Probability, 28 papers in Radiology, Nuclear Medicine and Imaging and 25 papers in Artificial Intelligence. Recurrent topics in Francesca Ieva's work include Statistical Methods and Inference (23 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and Advanced Statistical Methods and Models (13 papers). Francesca Ieva is often cited by papers focused on Statistical Methods and Inference (23 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and Advanced Statistical Methods and Models (13 papers). Francesca Ieva collaborates with scholars based in Italy, Netherlands and United Kingdom. Francesca Ieva's co-authors include Anna Maria Paganoni, Chiara Masci, Carlo Piccardi, Lucia Tajoli, Christopher Jackson, Linda Sharples, Tommaso Agasisti, Valeria Vitelli, Davide Pigoli and Fabrizio Ruggeri and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Francesca Ieva

105 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesca Ieva Italy 17 259 229 209 113 108 114 1.2k
Anna Maria Paganoni Italy 22 228 0.9× 259 1.1× 118 0.6× 179 1.6× 81 0.8× 108 1.4k
Andreas Christmann Germany 21 443 1.7× 427 1.9× 87 0.4× 62 0.5× 90 0.8× 63 1.7k
Ilya Shpitser United States 20 517 2.0× 842 3.7× 106 0.5× 99 0.9× 21 0.2× 73 1.9k
Daowen Zhang United States 23 239 0.9× 737 3.2× 62 0.3× 103 0.9× 34 0.3× 50 1.9k
Mauro Gasparini Italy 18 92 0.4× 279 1.2× 96 0.5× 227 2.0× 29 0.3× 61 1.1k
John Gilbert United States 16 131 0.5× 143 0.6× 472 2.3× 440 3.9× 62 0.6× 44 1.8k
Zhe He United States 24 795 3.1× 83 0.4× 81 0.4× 109 1.0× 76 0.7× 203 2.3k
Thomas A. Lasko United States 23 857 3.3× 74 0.3× 273 1.3× 191 1.7× 121 1.1× 57 2.4k
Ruiyan Luo United States 18 166 0.6× 109 0.5× 198 0.9× 25 0.2× 30 0.3× 77 1.4k
James Thompson United States 18 124 0.5× 204 0.9× 63 0.3× 213 1.9× 27 0.3× 55 1.3k

Countries citing papers authored by Francesca Ieva

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Ieva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Ieva

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Ieva. A scholar is included among the top collaborators of Francesca Ieva 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 Francesca Ieva. Francesca Ieva 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.
Viganò, Luca, Valentina Zanuso, Francesco Fiz, et al.. (2024). CT-based radiogenomics of intrahepatic cholangiocarcinoma. Digestive and Liver Disease. 57(1). 118–124. 1 indexed citations
2.
Gregorio, Caterina, Saverio D’Amico, Elisabetta Sauta, et al.. (2024). Personalized Timing for Allogeneic Stem-Cell Transplantation in Hematologic Neoplasms: A Target Trial Emulation Approach Using Multistate Modeling and Microsimulation. JCO Clinical Cancer Informatics. 8(8). e2300205–e2300205. 1 indexed citations
3.
4.
Leoni, Olivia, et al.. (2024). A NLP-based semi-automatic identification system for delays in follow-up examinations: an Italian case study on clinical referrals. BMC Medical Informatics and Decision Making. 24(1). 107–107. 1 indexed citations
5.
Ieva, Francesca, et al.. (2023). Scaling survival analysis in healthcare with federated survival forests: A comparative study on heart failure and breast cancer genomics. Future Generation Computer Systems. 149. 343–358. 8 indexed citations
6.
Sollini, Martina, et al.. (2023). Radiomics-Based Inter-Lesion Relation Network to Describe [18F]FMCH PET/CT Imaging Phenotypes in Prostate Cancer. Cancers. 15(3). 823–823. 2 indexed citations
7.
Manzoni, Andrea, Anna Maria Paganoni, Michael Hoffmeister, et al.. (2023). Learning high-order interactions for polygenic risk prediction. PLoS ONE. 18(2). e0281618–e0281618. 3 indexed citations
8.
Fiz, Francesco, Chiara Masci, Guido Costa, et al.. (2022). PET/CT-based radiomics of mass-forming intrahepatic cholangiocarcinoma improves prediction of pathology data and survival. European Journal of Nuclear Medicine and Molecular Imaging. 49(10). 3387–3400. 47 indexed citations
9.
Ieva, Francesca, et al.. (2022). Network analysis of comorbidity patterns in heart failure patients using administrative data. SHILAP Revista de lepidopterología. 15(2). 3 indexed citations
10.
Ieva, Francesca, et al.. (2020). Evaluating the effect of healthcare providers on the clinical path of heart failure patients through a semi-Markov, multi-state model. BMC Health Services Research. 20(1). 533–533. 6 indexed citations
11.
Rea, Federico, Giuseppe Micieli, Massimo Musicco, et al.. (2019). Adherence to recommendations and clinical outcomes of patients hospitalized for stroke: the role of the admission ward—a real-life investigation from Italy. Neurological Sciences. 40(7). 1433–1442. 1 indexed citations
12.
Taroni, Paola, Anna Maria Paganoni, Francesca Ieva, et al.. (2017). Non-invasive optical estimate of tissue composition to differentiate malignant from benign breast lesions: A pilot study. Scientific Reports. 7(1). 40683–40683. 56 indexed citations
13.
Grossetti, Francesco, Francesca Ieva, & Anna Maria Paganoni. (2017). A multi-state approach to patients affected by chronic heart failure. Health Care Management Science. 21(2). 281–291. 3 indexed citations
14.
Ieva, Francesca, et al.. (2017). Multi-state modelling of heart failure care path: A population-based investigation from Italy. PLoS ONE. 12(6). e0179176–e0179176. 18 indexed citations
15.
Ieva, Francesca, et al.. (2016). Covariance-based clustering in multivariate and functional data analysis. Journal of Machine Learning Research. 17(1). 4985–5005. 5 indexed citations
16.
Ieva, Francesca, et al.. (2016). Dynamic clustering of hazard functions: an application to disease progression in chronic heart failure. Health Care Management Science. 20(3). 353–364. 5 indexed citations
17.
Ieva, Francesca, et al.. (2015). Use of Depth Measure for Multivariate Functional Data in Disease Prediction: An Application to Electrocardiograph Signals. The International Journal of Biostatistics. 11(2). 189–201. 5 indexed citations
18.
Ekin, Tahir, Francesca Ieva, Fabrizio Ruggeri, & Refik Soyer. (2013). Applications of Bayesian Methods in Detection of Healthcare Frauds. Chemical engineering transactions. 33. 151–156. 15 indexed citations
19.
Lullo, Giulia Di, Francesca Ieva, Renato Longhi, Anna Maria Paganoni, & Maria Pia Protti. (2012). Estimating Point and Interval Frequency of Antigen-Specific CD4+ T Cells Based on Short In Vitro Expansion and Improved Poisson Distribution Analysis. PLoS ONE. 7(8). e42340–e42340. 3 indexed citations
20.
Ieva, Francesca & Anna Maria Paganoni. (2010). Multilevel models for clinical registers concerning STEMI patients in a complex urban reality: a statistical analysis of MOMI2 survey. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 1(1). 128–147. 7 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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