Deepti Mittal
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Ophthalmology top 5%
- Hepatology top 10%
- Co-authors
- Jaskirat KaurMadhup Kumar MittalNiranjan KhandelwalVinod KumarNaveen KalraAshish AggarwalRamesh Kumar SunkariaKanika Sharma
- Topics
- AI in cancer detection (10 papers)Retinal Imaging and Analysis (10 papers)Radiomics and Machine Learning in Medical Imaging (8 papers)
In The Last Decade
Deepti Mittal
32 papers receiving 704 citations
Peers
Comparison fields: 5 of 76
- Radiology, Nuclear Medicine and Imaging 503
- Artificial Intelligence 270
- Computer Vision and Pattern Recognition 239
- Ophthalmology 143
- Hepatology 67
Countries citing papers authored by Deepti Mittal
This map shows the geographic impact of Deepti Mittal'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 Deepti Mittal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepti Mittal more than expected).
Fields of papers citing papers by Deepti Mittal
This network shows the impact of papers produced by Deepti Mittal. 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 Deepti Mittal. The network helps show where Deepti Mittal may publish in the future.
Co-authorship network of co-authors of Deepti Mittal
This figure shows the co-authorship network connecting the top 25 collaborators of Deepti Mittal. A scholar is included among the top collaborators of Deepti Mittal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Deepti Mittal. Deepti Mittal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 210 | |
| 3 | 1 | |
| 4 | 28 | |
| 5 | 16 | |
| 6 | 4 | |
| 7 | 11 | |
| 8 | 43 | |
| 9 | 5 | |
| 10 | 34 | |
| 11 | 1 | |
| 12 | 9 | |
| 13 | 0 | |
| 14 | 7 | |
| 15 | 10 | |
| 16 | 5 | |
| 17 | 4 | |
| 18 | 3 | |
| 19 | 67 | |
| 20 | 63 |
About Deepti Mittal
Deepti Mittal is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 724 indexed citations. Recurring topics across this work include AI in cancer detection (10 papers), Retinal Imaging and Analysis (10 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). The work is most often cited by research in Health Informatics (46 citations), Radiology, Nuclear Medicine and Imaging (503 citations) and Ophthalmology (143 citations). Deepti Mittal has collaborated with scholars based in India and Germany. Frequent co-authors include Jaskirat Kaur, Madhup Kumar Mittal, Niranjan Khandelwal, Vinod Kumar, Naveen Kalra, Ashish Aggarwal, Ramesh Kumar Sunkaria, Kanika Sharma, Ruchi Singla and Lakhan Dev Sharma. Their work appears in journals such as Archives of Computational Methods in Engineering, The Computer Journal and Computers & Electrical Engineering.
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.