Daniel Racoceanu
Impact in
- Health Informatics top 0.2%
- Biophysics top 0.2%
- Cell Image Analysis Techniques
Papers in
- Biophysics 27
- Cell Image Analysis Techniques 27
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- Image Retrieval and Classification Techniques 22
- Digital Imaging for Blood Diseases 14
- Medical Image Segmentation Techniques 14
- Co-authors
- Ludovic Roux (11 shared papers)Humayun Irshad (5 shared papers)Antoine Veillard (11 shared papers)Noureddine Zerhouni (11 shared papers)Ryad Zemouri (8 shared papers)Chandan Chakraborty (1 shared paper)Monjoy Saha (1 shared paper)Bassem Ben Cheikh (5 shared papers)
In The Last Decade
Daniel Racoceanu
104 papers receiving 5.5k citations
Daniel Racoceanu's Hit Papers
Peers
Comparison fields: 5 of 188
- Health Informatics 320
- Biophysics 739
- Artificial Intelligence 3.6k
- Radiology, Nuclear Medicine and Imaging 2.1k
- Computer Vision and Pattern Recognition 2.0k
Countries citing papers authored by Daniel Racoceanu
This map shows the geographic impact of Daniel Racoceanu'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 Daniel Racoceanu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Racoceanu more than expected).
Fields of papers citing papers by Daniel Racoceanu
This network shows the impact of papers produced by Daniel Racoceanu. 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 Daniel Racoceanu. The network helps show where Daniel Racoceanu may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Racoceanu, 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 111 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer Hit paper breakdown → | 2017 | 2461 |
| 2 | Gland segmentation in colon histology images: The glas challenge contest Hit paper breakdown → | 2016 | 754 |
| 3 | Methods for Nuclei Detection, Segmentation, and Classification in Digital Histopathology: A Review—Current Status and Future Potential Hit paper breakdown → | 2014 | 526 |
| 4 | 2013 | 239 | |
| 5 | 2017 | 162 | |
| 6 | 2019 | 151 | |
| 7 | 2010 | 102 | |
| 8 | 2020 | 101 | |
| 9 | 2003 | 96 | |
| 10 | 2013 | 86 | |
| 11 | 2021 | 84 | |
| 12 | 2008 | 79 | |
| 13 | 2010 | 54 | |
| 14 | 2019 | 51 | |
| 15 | Nuclear pleomorphism scoring by selective cell nuclei detection | 2009 | 46 |
| 16 | Fusing Visual and Clinical Information for Lung Tissue Classification in HRCT Data | 2009 | 46 |
| 17 | 2012 | 41 | |
| 18 | 2008 | 36 | |
| 19 | 2014 | 32 | |
| 20 | 2012 | 27 |
About Daniel Racoceanu
Daniel Racoceanu is a scholar working on Biophysics, Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Media Technology, having authored 111 papers that have together received 5.7k indexed citations. Recurring topics across this work include AI in cancer detection (43 papers), Cell Image Analysis Techniques (27 papers), Image Retrieval and Classification Techniques (22 papers), Biomedical Text Mining and Ontologies (17 papers), Digital Imaging for Blood Diseases (14 papers), Medical Image Segmentation Techniques (14 papers), Neural Networks and Applications (10 papers) and Fault Detection and Control Systems (8 papers). The work is most often cited by research in Health Informatics (320 citations), Biophysics (739 citations), Artificial Intelligence (3.6k citations), Radiology, Nuclear Medicine and Imaging (2.1k citations) and Computer Vision and Pattern Recognition (2.0k citations). Daniel Racoceanu has collaborated with scholars based in France, Singapore and Romania. Frequent co-authors include Ludovic Roux, Humayun Irshad, Antoine Veillard, Noureddine Zerhouni, Ryad Zemouri, Chandan Chakraborty, Monjoy Saha, Bassem Ben Cheikh, Olaf Ronneberger and David R. J. Snead. Their work appears in journals such as Computerized Medical Imaging and Graphics, Journal of Pathology Informatics, IEEE Transactions on Biomedical Engineering, Frontiers in Bioengineering and Biotechnology and Journal of the American Heart Association.
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.