Roxane Licandro
Impact in
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- Artificial Intelligence in Healthcare and Education
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- Functional Brain Connectivity Studies
- Neural and Behavioral Psychology Studies
Papers in
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- Medical Image Segmentation Techniques 7
- Digital Imaging for Blood Diseases 4
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- Functional Brain Connectivity Studies 5
- Co-authors
- Georg Langs (11 shared papers)Martin Kampel (5 shared papers)Karl‐Heinz Nenning (5 shared papers)Gregor Kasprian (5 shared papers)Michael J. Reiter (4 shared papers)Ernst Schwartz (5 shared papers)Daniela Prayer (4 shared papers)Markus Diem (3 shared papers)
- Journals
- Human Brain Mapping (2 papers)Medical Image Analysis (2 papers)Developmental Cognitive Neuroscience (2 papers)NeuroImage (2 papers)IEEE Transactions on Medical Imaging (1 paper)
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Roxane Licandro
25 papers receiving 253 citations
Peers
Comparison fields: 5 of 52
- Health Informatics 11
- Cognitive Neuroscience 67
- Computer Vision and Pattern Recognition 70
- Pediatrics, Perinatology and Child Health 36
- Radiology, Nuclear Medicine and Imaging 35
Countries citing papers authored by Roxane Licandro
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
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-authors
The 25 scholars most cited alongside Roxane Licandro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 36 | |
| 2 | 2021 | 34 | |
| 3 | 2021 | 33 | |
| 4 | 2022 | 26 | |
| 5 | 2021 | 19 | |
| 6 | 2021 | 16 | |
| 7 | 2022 | 15 | |
| 8 | 2018 | 14 | |
| 9 | 2024 | 10 | |
| 10 | 2018 | 7 | |
| 11 | 2025 | 7 | |
| 12 | 2022 | 6 | |
| 13 | 2019 | 5 | |
| 14 | 2022 | 5 | |
| 15 | 2020 | 4 | |
| 16 | 2019 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2016 | 2 | |
| 20 | 2022 | 2 |
About Roxane Licandro
Roxane Licandro is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Health Informatics and Hematology, having authored 32 papers that have together received 257 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (7 papers), Functional Brain Connectivity Studies (5 papers), Digital Imaging for Blood Diseases (4 papers), Advanced MRI Techniques and Applications (4 papers), Artificial Intelligence in Healthcare and Education (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Acute Myeloid Leukemia Research (2 papers) and Interdisciplinary Research and Collaboration (2 papers). The work is most often cited by research in Health Informatics (11 citations), Cognitive Neuroscience (67 citations), Computer Vision and Pattern Recognition (70 citations), Pediatrics, Perinatology and Child Health (36 citations) and Radiology, Nuclear Medicine and Imaging (35 citations). Roxane Licandro has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Georg Langs, Martin Kampel, Karl‐Heinz Nenning, Gregor Kasprian, Michael J. Reiter, Ernst Schwartz, Daniela Prayer, Markus Diem, M. Catalina Camacho and Brittany Howell. Their work appears in journals such as Human Brain Mapping, Medical Image Analysis, Developmental Cognitive Neuroscience, NeuroImage and IEEE Transactions on Medical Imaging.
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.