Smriti Joshi
Impact in
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- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
Papers in
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- AI in cancer detection 3
- Topic Modeling 1
- Machine Learning in Healthcare 1
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- Generative Adversarial Networks and Image Synthesis 1
- Co-authors
- Richard Osuala (2 shared papers)Oliver Díaz (4 shared papers)Karim Lekadir (4 shared papers)Noussair Lazrak (1 shared paper)Fred Prior (1 shared paper)Kaisar Kushibar (1 shared paper)Lidia Garrucho (1 shared paper)Katerina Nikiforaki (1 shared paper)
- Journals
- European Radiology Experimental (1 paper)Journal of Medical Imaging (1 paper)PuSH - Publication Server of Helmholtz Zentrum München (1 paper)Research Publications (Maastricht University) (1 paper)
- Partner nations
- SpainUnited StatesPoland
In The Last Decade
Smriti Joshi
4 papers receiving 25 citations
Peers
Comparison fields: 5 of 20
- Health Informatics 4
- Radiology, Nuclear Medicine and Imaging 10
- Artificial Intelligence 14
- General Social Sciences 1
- Computer Vision and Pattern Recognition 6
Countries citing papers authored by Smriti Joshi
This map shows the geographic impact of Smriti Joshi'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 Smriti Joshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Smriti Joshi more than expected).
Fields of papers citing papers by Smriti Joshi
This network shows the impact of papers produced by Smriti Joshi. 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 Smriti Joshi. The network helps show where Smriti Joshi may publish in the future.
Co-authors
The 18 scholars most cited alongside Smriti Joshi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 16 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 0 |
About Smriti Joshi
Smriti Joshi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Health Informatics, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 5 papers that have together received 26 indexed citations. Recurring topics across this work include AI in cancer detection (3 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Artificial Intelligence in Healthcare and Education (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper), Topic Modeling (1 paper) and Machine Learning in Healthcare (1 paper). The work is most often cited by research in Health Informatics (4 citations), Radiology, Nuclear Medicine and Imaging (10 citations), Artificial Intelligence (14 citations), General Social Sciences (1 citation) and Computer Vision and Pattern Recognition (6 citations). Smriti Joshi has collaborated with scholars based in Spain, United States and Poland. Frequent co-authors include Richard Osuala, Oliver Díaz, Karim Lekadir, Noussair Lazrak, Fred Prior, Kaisar Kushibar, Lidia Garrucho, Katerina Nikiforaki, Walter Hugo Lopez Pinaya and Vassilis Kilintzis. Their work appears in journals such as European Radiology Experimental, Journal of Medical Imaging, PuSH - Publication Server of Helmholtz Zentrum München and Research Publications (Maastricht University).
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.