Enzo Battistella

779 total citations
14 papers, 276 citations indexed

About

Enzo Battistella is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Enzo Battistella has authored 14 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Artificial Intelligence and 3 papers in Biomedical Engineering. Recurrent topics in Enzo Battistella's work include Radiomics and Machine Learning in Medical Imaging (7 papers), AI in cancer detection (4 papers) and Machine Learning in Bioinformatics (2 papers). Enzo Battistella is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), AI in cancer detection (4 papers) and Machine Learning in Bioinformatics (2 papers). Enzo Battistella collaborates with scholars based in France, United States and Canada. Enzo Battistella's co-authors include Éric Deutsch, Roger Sun, Charlotte Robert, Alexandre Carré, Maria Vakalopoulou, Marvin Lerousseau, Théo Estienne, Émilie Alvarez Andres, Stéphane Niyoteka and Nikos Paragios and has published in prestigious journals such as Bioinformatics, Neurology and Scientific Reports.

In The Last Decade

Enzo Battistella

13 papers receiving 272 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Enzo Battistella France 6 208 76 47 41 40 14 276
Théo Estienne France 6 205 1.0× 80 1.1× 31 0.7× 40 1.0× 40 1.0× 10 269
Émilie Alvarez Andres France 4 182 0.9× 66 0.9× 21 0.4× 35 0.9× 39 1.0× 5 223
Stéphane Niyoteka France 5 187 0.9× 63 0.8× 23 0.5× 32 0.8× 39 1.0× 10 222
G. Klausner France 6 173 0.8× 55 0.7× 70 1.5× 25 0.6× 51 1.3× 15 265
Zijian Zhou United States 8 124 0.6× 51 0.7× 94 2.0× 22 0.5× 34 0.8× 16 286
Endre Grøvik Norway 9 219 1.1× 46 0.6× 116 2.5× 22 0.5× 67 1.7× 17 326
Jason Cheng United States 8 131 0.6× 71 0.9× 52 1.1× 29 0.7× 46 1.1× 16 285
Reza Farjam United States 11 182 0.9× 68 0.9× 97 2.1× 98 2.4× 61 1.5× 16 319

Countries citing papers authored by Enzo Battistella

Since Specialization
Citations

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

Fields of papers citing papers by Enzo Battistella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enzo Battistella

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

All Works

14 of 14 papers shown
1.
2.
Battistella, Enzo, et al.. (2024). Improving the performance and interpretability on medical datasets using graphical ensemble feature selection. Bioinformatics. 40(6). 2 indexed citations
3.
Assaad, Souad, Jean‐Yves Blay, Pierre-Étienne Heudel, et al.. (2023). 846P Artificial intelligence-driven identification of onco-hematology patients who may develop severe COVID-19. Annals of Oncology. 34. S551–S551. 1 indexed citations
4.
Gafson, Arie, Dawei Liu, Enzo Battistella, et al.. (2022). Machine Learning-Based Prediction of New Multiple Sclerosis Lesion Formation Using Radiomic Features from Pre-Lesion Normal Appearing White Matter (S26.009). Neurology. 98(18_supplement). 1 indexed citations
5.
Carré, Alexandre, Enzo Battistella, Stéphane Niyoteka, et al.. (2022). AutoComBat: a generic method for harmonizing MRI-based radiomic features. Scientific Reports. 12(1). 12762–12762. 11 indexed citations
6.
Battistella, Enzo, Maria Vakalopoulou, Roger Sun, et al.. (2021). COMBING: Clustering in Oncology for Mathematical and Biological Identification of Novel Gene Signatures. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(6). 3317–3331. 3 indexed citations
7.
Sun, Roger, Marvin Lerousseau, Alexandre Carré, et al.. (2021). Intelligence artificielle en radiothérapie : radiomique, pathomique, et prédiction de la survie et de la réponse aux traitements. Cancer/Radiothérapie. 25(6-7). 630–637. 5 indexed citations
8.
Sun, Roger, Samy Ammari, Sophie Bockel, et al.. (2021). Systematic Screening of COVID-19 Disease Based on Chest CT and RT-PCR for Cancer Patients Undergoing Radiation Therapy in a Coronavirus French Hotspot. International Journal of Radiation Oncology*Biology*Physics. 110(4). 947–956. 7 indexed citations
9.
Liu, Dawei, Daniel P. Bradley, Enzo Battistella, et al.. (2021). Machine Learning-Based Classification of Acute versus Chronic Multiple Sclerosis Lesions using Radiomic Features from Unenhanced Cross-Sectional Brain MRI (4121). Neurology. 96(15_supplement). 1 indexed citations
10.
Battistella, Enzo, Clémence Martin, I. Durieu, et al.. (2021). Using chest CT scan and unsupervised machine learning for predicting and evaluating response to lumacaftor-ivacaftor in people with cystic fibrosis. European Respiratory Journal. 59(6). 2101344–2101344. 25 indexed citations
11.
Andres, Émilie Alvarez, Lucas Fidon, Maria Vakalopoulou, et al.. (2020). Dosimetry-Driven Quality Measure of Brain Pseudo Computed Tomography Generated From Deep Learning for MRI-Only Radiation Therapy Treatment Planning. International Journal of Radiation Oncology*Biology*Physics. 108(3). 813–823. 27 indexed citations
12.
Carré, Alexandre, G. Klausner, Myriam Edjlali, et al.. (2020). PH-0532: Standardization of brain MRI across machines and protocols: bridging the gap for MRI-based radiomics. Radiotherapy and Oncology. 152. S294–S294. 1 indexed citations
13.
Carré, Alexandre, G. Klausner, Myriam Edjlali, et al.. (2020). Standardization of brain MR images across machines and protocols: bridging the gap for MRI-based radiomics. Scientific Reports. 10(1). 12340–12340. 164 indexed citations
14.
Estienne, Théo, Marvin Lerousseau, Maria Vakalopoulou, et al.. (2020). Deep Learning-Based Concurrent Brain Registration and Tumor Segmentation. Frontiers in Computational Neuroscience. 14. 17–17. 28 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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