Roxane Licandro

509 total citations
23 papers, 191 citations indexed

About

Roxane Licandro is a scholar working on Pediatrics, Perinatology and Child Health, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Roxane Licandro has authored 23 papers receiving a total of 191 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pediatrics, Perinatology and Child Health, 7 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Biomedical Engineering. Recurrent topics in Roxane Licandro's work include Fetal and Pediatric Neurological Disorders (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Neonatal and fetal brain pathology (4 papers). Roxane Licandro is often cited by papers focused on Fetal and Pediatric Neurological Disorders (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Neonatal and fetal brain pathology (4 papers). Roxane Licandro collaborates with scholars based in Austria, United States and United Kingdom. Roxane Licandro's co-authors include Andrew Melbourne, Jana Hutter, Martin Kampel, Ernst Schwartz, Georg Langs, Yipeng Hu, J. Alison Noble, Stephen Aylward, Michael J. Reiter and Gregor Kasprian and has published in prestigious journals such as NeuroImage, Scientific Reports and Cerebral Cortex.

In The Last Decade

Roxane Licandro

17 papers receiving 187 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roxane Licandro Austria 9 82 51 40 37 37 23 191
Rachael Garner United States 12 56 0.7× 84 1.6× 13 0.3× 68 1.8× 40 1.1× 29 316
Abdelhakim Ouaalam United States 5 213 2.6× 123 2.4× 12 0.3× 40 1.1× 91 2.5× 5 305
Aymeric Stamm France 9 34 0.4× 93 1.8× 21 0.5× 42 1.1× 9 0.2× 30 308
Jhimli Mitra United States 9 20 0.2× 139 2.7× 26 0.7× 68 1.8× 24 0.6× 31 251
Benedikt A. Jónsson Iceland 4 37 0.5× 93 1.8× 15 0.4× 103 2.8× 63 1.7× 7 272
Xavier Tomas-Fernandez United States 8 28 0.3× 75 1.5× 14 0.3× 46 1.2× 36 1.0× 12 237
Alice Davidson United Kingdom 9 218 2.7× 64 1.3× 11 0.3× 14 0.4× 46 1.2× 12 349
Priscille de Dumast Switzerland 7 63 0.8× 50 1.0× 16 0.4× 3 0.1× 47 1.3× 12 181
Ahmed ElTanboly United States 9 25 0.3× 252 4.9× 37 0.9× 53 1.4× 22 0.6× 23 348
Sean Clancy United States 8 202 2.5× 146 2.9× 10 0.3× 50 1.4× 43 1.2× 15 387

Countries citing papers authored by Roxane Licandro

Since Specialization
Citations

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

Fields of papers citing papers by Roxane Licandro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roxane Licandro

This figure shows the co-authorship network connecting the top 25 collaborators of Roxane Licandro. A scholar is included among the top collaborators of Roxane Licandro 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 Roxane Licandro. Roxane Licandro 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.
Payette, Kelly, Roxane Licandro, Georg Langs, et al.. (2026). Towards contrast- and pathology-agnostic clinical fetal brain MRI segmentation using SynthSeg. NeuroImage. 327. 121729–121729.
2.
Licandro, Roxane, Luiz Fernando Ferraz da Silva, André van der Kouwe, et al.. (2025). High Resolution Postmortem MRI Discovers Developing Structural Connectivity in the Human Ascending Arousal Network. Human Brain Mapping. 46(17). e70422–e70422.
3.
Synek, Alexander, Emir Benca, Roxane Licandro, Lena Hirtler, & Dieter H. Pahr. (2025). Predicting strength of femora with metastatic lesions from single 2D radiographic projections using convolutional neural networks. Computer Methods and Programs in Biomedicine. 265. 108724–108724.
4.
Camacho, M. Catalina, Sahar Ahmad, Melanie Ganz, et al.. (2025). Measuring and interpreting individual differences in fetal, infant, and toddler neurodevelopment. Developmental Cognitive Neuroscience. 73. 101539–101539. 2 indexed citations
5.
Licandro, Roxane, et al.. (2025). Artificial intelligence applied to epilepsy imaging: Current status and future perspectives. Revue Neurologique. 181(5). 420–424.
6.
Ebner, Michael, Ernst Schwartz, Karl‐Heinz Nenning, et al.. (2022). Motion Correction and Volumetric Reconstruction for Fetal Functional Magnetic Resonance Imaging Data. arXiv (Cornell University). 11 indexed citations
7.
Lichtenegger, Antonia, Roxane Licandro, Pradipta Mukherjee, et al.. (2022). Longitudinal investigation of a xenograft tumor zebrafish model using polarization-sensitive optical coherence tomography. Scientific Reports. 12(1). 15381–15381. 5 indexed citations
8.
Langs, Georg, et al.. (2022). Handbuch Data Science und KI. 1 indexed citations
9.
Langs, Georg, et al.. (2022). The Handbook of Data Science and AI. 1 indexed citations
10.
Ebner, Michael, Ernst Schwartz, Karl‐Heinz Nenning, et al.. (2022). Motion correction and volumetric reconstruction for fetal functional magnetic resonance imaging data. NeuroImage. 255. 119213–119213.
11.
Schwartz, Ernst, Karl‐Heinz Nenning, Roxane Licandro, et al.. (2022). Fetal development of functional thalamocortical and cortico–cortical connectivity. Cerebral Cortex. 33(9). 5613–5624. 22 indexed citations
12.
Licandro, Roxane, et al.. (2022). Perinatal, Preterm and Paediatric Image Analysis. Lecture notes in computer science. 2 indexed citations
13.
Camacho, M. Catalina, Courtney A. Filippi, Roxane Licandro, et al.. (2021). Dear reviewers: Responses to common reviewer critiques about infant neuroimaging studies. Developmental Cognitive Neuroscience. 53. 101055–101055. 25 indexed citations
14.
Sudre, Carole H., Roxane Licandro, Christian Baumgärtner, et al.. (2021). Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis. Lecture notes in computer science. 20 indexed citations
15.
Langs, Georg, Ulrike Attenberger, Roxane Licandro, et al.. (2020). Maschinelles Lernen in der Radiologie. Der Radiologe. 60(1). 6–14. 3 indexed citations
16.
Wang, Qian, Alberto Gómez, Jana Hutter, et al.. (2019). Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis. Lecture notes in computer science. 14 indexed citations
17.
Melbourne, Andrew, Roxane Licandro, Matthew D. DiFranco, et al.. (2018). Data Driven Treatment Response Assessment and Preterm, Perinatal, and Paediatric Image Analysis. Lecture notes in computer science. 22 indexed citations
18.
Licandro, Roxane, Michael J. Reiter, Markus Diem, et al.. (2018). Application of Machine Learning for Automatic MRD Assessment in Paediatric Acute Myeloid Leukaemia. 401–408. 7 indexed citations
19.
Licandro, Roxane, Michael J. Reiter, Markus Diem, et al.. (2018). WGAN Latent Space Embeddings for Blast Identification in Childhood Acute Myeloid Leukaemia. 3868–3873. 9 indexed citations
20.
Licandro, Roxane, Paolo Rota, Michael J. Reiter, & Martin Kampel. (2016). Flow Cytometry based automatic MRD assessment in Acute Lymphoblastic Leukaemia: Longitudinal evaluation of time-specific cell population models. Institutional Research Information System (Università degli Studi di Trento). 17. 1–6. 1 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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