Deepika Kumar
Impact in
- Health Information Management top 0.5%
- Artificial Intelligence in Healthcare
- Health Informatics top 5%
Papers in
-
- Digital Imaging for Blood Diseases 4
-
- AI in cancer detection 11
- Co-authors
- Mamta Mittal (5 shared papers)Saloni Kumari (1 shared paper)D. Jude Hemanth (9 shared papers)Sudipta Singha Roy (6 shared papers)Nishant Rai (2 shared papers)Ahad Ali (1 shared paper)Mina L. Xu (3 shared papers)A.P. Mittal (2 shared papers)
- Journals
- Multimedia Tools and Applications (2 papers)Frontiers in Oncology (2 papers)Electronics (2 papers)Archives of Pathology & Laboratory Medicine (1 paper)Current Oncology Reports (1 paper)
- Partner nations
- IndiaUnited StatesRomania
In The Last Decade
Deepika Kumar
43 papers receiving 1.3k citations
Deepika Kumar's Hit Papers
Peers
Comparison fields: 5 of 154
- Health Information Management 223
- Health Informatics 27
- Artificial Intelligence 492
- Radiology, Nuclear Medicine and Imaging 219
- Computer Vision and Pattern Recognition 224
Countries citing papers authored by Deepika Kumar
This map shows the geographic impact of Deepika Kumar'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 Deepika Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepika Kumar more than expected).
Fields of papers citing papers by Deepika Kumar
This network shows the impact of papers produced by Deepika Kumar. 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 Deepika Kumar. The network helps show where Deepika Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepika Kumar, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An ensemble approach for classification and prediction of diabetes mellitus using soft voting classifier Hit paper breakdown → | 2021 | 327 |
| 2 | 2015 | 167 | |
| 3 | 2020 | 126 | |
| 4 | Fake News Classification using transformer based enhanced LSTM and BERT Hit paper breakdown → | 2022 | 122 |
| 5 | 2020 | 110 | |
| 6 | 2009 | 81 | |
| 7 | 2018 | 41 | |
| 8 | 2021 | 32 | |
| 9 | 2023 | 23 | |
| 10 | 2022 | 19 | |
| 11 | 2022 | 19 | |
| 12 | 2024 | 18 | |
| 13 | 2023 | 17 | |
| 14 | 2021 | 16 | |
| 15 | 2021 | 14 | |
| 16 | 2022 | 14 | |
| 17 | 2018 | 13 | |
| 18 | 2020 | 12 | |
| 19 | 2020 | 12 | |
| 20 | 2022 | 11 |
About Deepika Kumar
Deepika Kumar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Neurology, Radiology, Nuclear Medicine and Imaging and Health Information Management, having authored 50 papers that have together received 1.3k indexed citations. Recurring topics across this work include AI in cancer detection (11 papers), COVID-19 diagnosis using AI (6 papers), Brain Tumor Detection and Classification (5 papers), Digital Imaging for Blood Diseases (4 papers), Artificial Intelligence in Healthcare (4 papers), Cutaneous Melanoma Detection and Management (3 papers), Gene expression and cancer classification (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Health Information Management (223 citations), Health Informatics (27 citations), Artificial Intelligence (492 citations), Radiology, Nuclear Medicine and Imaging (219 citations) and Computer Vision and Pattern Recognition (224 citations). Deepika Kumar has collaborated with scholars based in India, United States and Romania. Frequent co-authors include Mamta Mittal, Saloni Kumari, D. Jude Hemanth, Sudipta Singha Roy, Nishant Rai, Ahad Ali, Mina L. Xu, A.P. Mittal, Suresh Chandra Satapathy and Roman Šenkeřík. Their work appears in journals such as Multimedia Tools and Applications, Frontiers in Oncology, Electronics, Archives of Pathology & Laboratory Medicine and Current Oncology Reports.
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.