Harshita Sharma
- Health Informatics top 1%
- General Dentistry top 5%
- Artificial Intelligence top 2%
- Domain Adaptation and Few-Shot Learning 14
- AI in cancer detection 9
- Topic Modeling 5
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- Radiomics and Machine Learning in Medical Imaging 7
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- Multimodal Machine Learning Applications 12
- Image Retrieval and Classification Techniques 5
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- Fetal and Pediatric Neurological Disorders 14
- Neonatal and fetal brain pathology 5
- Co-authors
- Peter HufnaglOlaf HellwichNorman ZerbeJ. Alison NobleLior DrukkerAris T. PapageorghiouPierre ChatelainRichard Droste
- Journals
- Nature Communications (1 paper)SHILAP Revista de lepidopterología (3 papers)PLoS ONE (2 papers)
- Partner nations
- United KingdomIndiaGermany
In The Last Decade
Harshita Sharma
51 papers receiving 884 citations
Peers
Comparison fields: 5 of 106
- Health Informatics 108
- General Dentistry 36
- Artificial Intelligence 487
- Radiology, Nuclear Medicine and Imaging 344
- Computer Vision and Pattern Recognition 262
Countries citing papers authored by Harshita Sharma
This map shows the geographic impact of Harshita Sharma'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 Harshita Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harshita Sharma more than expected).
Fields of papers citing papers by Harshita Sharma
This network shows the impact of papers produced by Harshita Sharma. 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 Harshita Sharma. The network helps show where Harshita Sharma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Harshita Sharma, 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 | 2024 | 4 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 14 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 6 | |
| 10 | 2022 | 2 | |
| 11 | 2022 | 14 | |
| 12 | 2021 | 12 | |
| 13 | 2021 | 5 | |
| 14 | 2021 | 33 | |
| 15 | 2021 | 47 | |
| 16 | 2019 | 19 | |
| 17 | Evaluation of gaze tracking calibration for longitudinal biomedical imaging studies | 2018 | 1 |
| 18 | 2018 | 23 | |
| 19 | 2017 | 6 | |
| 20 | 2016 | 2 |
About Harshita Sharma
Harshita Sharma is a scholar working on Health Informatics, Microbiology and Computer Vision and Pattern Recognition, having authored 56 papers that have together received 905 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (14 papers), Fetal and Pediatric Neurological Disorders (14 papers), Multimodal Machine Learning Applications (12 papers), AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Topic Modeling (5 papers), Image Retrieval and Classification Techniques (5 papers) and Neonatal and fetal brain pathology (5 papers). The work is most often cited by research in Health Informatics (108 citations), General Dentistry (36 citations) and Artificial Intelligence (487 citations). Harshita Sharma has collaborated with scholars based in United Kingdom, India and Germany. Frequent co-authors include Peter Hufnagl, Olaf Hellwich, Norman Zerbe, J. Alison Noble, Lior Drukker, Aris T. Papageorghiou, Pierre Chatelain, Richard Droste, Yifan Cai and Arathi Rao. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.
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.