Daniela Ushizima
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
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- Digital Imaging for Blood Diseases
- Medical Image Segmentation Techniques
Papers in
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- Medical Image Segmentation Techniques 18
- Digital Imaging for Blood Diseases 12
- Image Retrieval and Classification Techniques 6
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- AI in cancer detection 21
- Co-authors
- Andrea Bianchi (22 shared papers)Cláudia Martins Carneiro (18 shared papers)F.N.S. Medeiros (12 shared papers)Fátima N. S. de Medeiros (13 shared papers)Mariana T. Rezende (9 shared papers)Romuere Silva (11 shared papers)Flávio H. D. Araújo (10 shared papers)Dilworth Y. Parkinson (17 shared papers)
- Journals
- Scientific Reports (2 papers)Cement and Concrete Research (2 papers)Journal of Synchrotron Radiation (2 papers)Expert Systems with Applications (2 papers)Scientific Data (2 papers)
- Partner nations
- United StatesBrazilCanada
In The Last Decade
Daniela Ushizima
80 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 125
- Biophysics 128
- Computer Vision and Pattern Recognition 392
- Artificial Intelligence 420
- Structural Biology 16
- Radiology, Nuclear Medicine and Imaging 248
Countries citing papers authored by Daniela Ushizima
This map shows the geographic impact of Daniela Ushizima'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 Daniela Ushizima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Ushizima more than expected).
Fields of papers citing papers by Daniela Ushizima
This network shows the impact of papers produced by Daniela Ushizima. 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 Daniela Ushizima. The network helps show where Daniela Ushizima may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Ushizima, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 116 | |
| 2 | 2019 | 87 | |
| 3 | 2019 | 52 | |
| 4 | 2018 | 50 | |
| 5 | 2009 | 40 | |
| 6 | 2021 | 38 | |
| 7 | 2012 | 36 | |
| 8 | 2020 | 36 | |
| 9 | Segmentation of subcellular compartments combining superpixel representation with Voronoi diagrams | 2015 | 35 |
| 10 | 2021 | 33 | |
| 11 | 2018 | 33 | |
| 12 | 2023 | 32 | |
| 13 | 2021 | 30 | |
| 14 | 2005 | 29 | |
| 15 | 2016 | 29 | |
| 16 | 2019 | 27 | |
| 17 | 2010 | 26 | |
| 18 | 2016 | 26 | |
| 19 | 2023 | 26 | |
| 20 | 2021 | 24 |
About Daniela Ushizima
Daniela Ushizima is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biophysics, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 85 papers that have together received 1.2k indexed citations. Recurring topics across this work include AI in cancer detection (21 papers), Medical Image Segmentation Techniques (18 papers), Cell Image Analysis Techniques (17 papers), Digital Imaging for Blood Diseases (12 papers), Medical Imaging Techniques and Applications (9 papers), Cervical Cancer and HPV Research (9 papers), Advanced X-ray and CT Imaging (6 papers) and Image Retrieval and Classification Techniques (6 papers). The work is most often cited by research in Biophysics (128 citations), Computer Vision and Pattern Recognition (392 citations), Artificial Intelligence (420 citations), Structural Biology (16 citations) and Radiology, Nuclear Medicine and Imaging (248 citations). Daniela Ushizima has collaborated with scholars based in United States, Brazil and Canada. Frequent co-authors include Andrea Bianchi, Cláudia Martins Carneiro, F.N.S. Medeiros, Fátima N. S. de Medeiros, Mariana T. Rezende, Romuere Silva, Flávio H. D. Araújo, Dilworth Y. Parkinson, Zhi Lu and Alexander Hexemer. Their work appears in journals such as Scientific Reports, Cement and Concrete Research, Journal of Synchrotron Radiation, Expert Systems with Applications and Scientific Data.
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.