Mini Das
Impact in
- Radiation top 5%
- Advanced X-ray Imaging Techniques
-
- Digital Radiography and Breast Imaging
Papers in
- Radiation 15
- Advanced X-ray Imaging Techniques 15
-
- Digital Radiography and Breast Imaging 30
- Co-authors
- Howard C. Gifford (19 shared papers)Stephen J. Glick (11 shared papers)Krishnan Thyagarajan (2 shared papers)Doğa Gürsoy (2 shared papers)Krishna Thyagarajan (1 shared paper)Bipul Pal (1 shared paper)Quing Zhu (3 shared papers)MN Satyanarayan (1 shared paper)
- Journals
- Medical Physics (4 papers)Optics Communications (3 papers)Optics Letters (3 papers)IEEE Transactions on Medical Imaging (3 papers)Optica (2 papers)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Mini Das
68 papers receiving 653 citations
Peers
Comparison fields: 5 of 34
- Radiation 102
- Pulmonary and Respiratory Medicine 258
- Radiology, Nuclear Medicine and Imaging 121
- Biomedical Engineering 118
- Computer Vision and Pattern Recognition 62
Countries citing papers authored by Mini Das
This map shows the geographic impact of Mini Das'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 Mini Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mini Das more than expected).
Fields of papers citing papers by Mini Das
This network shows the impact of papers produced by Mini Das. 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 Mini Das. The network helps show where Mini Das may publish in the future.
Co-authors
The 24 scholars most cited alongside Mini Das, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 52 | |
| 2 | 2009 | 49 | |
| 3 | 2001 | 42 | |
| 4 | 2001 | 41 | |
| 5 | 2013 | 37 | |
| 6 | 2016 | 35 | |
| 7 | 2013 | 29 | |
| 8 | 2001 | 28 | |
| 9 | 2014 | 25 | |
| 10 | 2019 | 23 | |
| 11 | 2013 | 20 | |
| 12 | 2006 | 19 | |
| 13 | 2008 | 18 | |
| 14 | 2008 | 16 | |
| 15 | 2018 | 12 | |
| 16 | 2020 | 12 | |
| 17 | 2020 | 12 | |
| 18 | 2008 | 11 | |
| 19 | 2010 | 11 | |
| 20 | 2014 | 11 |
About Mini Das
Mini Das is a scholar working on Radiation, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 71 papers that have together received 676 indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (30 papers), Advanced X-ray and CT Imaging (19 papers), Advanced X-ray Imaging Techniques (15 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Optical Imaging and Spectroscopy Techniques (5 papers), Image Retrieval and Classification Techniques (3 papers), AI in cancer detection (3 papers) and Visual Attention and Saliency Detection (2 papers). The work is most often cited by research in Radiation (102 citations), Pulmonary and Respiratory Medicine (258 citations), Radiology, Nuclear Medicine and Imaging (121 citations), Biomedical Engineering (118 citations) and Computer Vision and Pattern Recognition (62 citations). Mini Das has collaborated with scholars based in United States, India and China. Frequent co-authors include Howard C. Gifford, Stephen J. Glick, Krishnan Thyagarajan, Doğa Gürsoy, Krishna Thyagarajan, Bipul Pal, Quing Zhu, MN Satyanarayan, Xu Chen and Zhengqiang Jiang. Their work appears in journals such as Medical Physics, Optics Communications, Optics Letters, IEEE Transactions on Medical Imaging and Optica.
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.