Akshay Smit
Impact in
- Health Informatics top 10%
-
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- AI in cancer detection 1
- Natural Language Processing Techniques 1
- Topic Modeling 1
- Co-authors
- Andrew Y. Ng (2 shared papers)Matthew P. Lungren (2 shared papers)Saahil Jain (2 shared papers)Anuj Pareek (1 shared paper)Pranav Rajpurkar (2 shared papers)Peter M. T. Pattynama (1 shared paper)Ernst E. van der Wall (1 shared paper)Albert de Roos (1 shared paper)
- Journals
- Radiotherapy and Oncology (1 paper)Radiology (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesNetherlandsVietnam
In The Last Decade
Akshay Smit
4 papers receiving 131 citations
Peers
Comparison fields: 5 of 21
- Health Informatics 18
- Radiology, Nuclear Medicine and Imaging 62
- Artificial Intelligence 73
- Cardiology and Cardiovascular Medicine 38
- Pulmonary and Respiratory Medicine 34
Countries citing papers authored by Akshay Smit
This map shows the geographic impact of Akshay Smit'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 Akshay Smit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akshay Smit more than expected).
Fields of papers citing papers by Akshay Smit
This network shows the impact of papers produced by Akshay Smit. 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 Akshay Smit. The network helps show where Akshay Smit may publish in the future.
Co-authors
The 12 scholars most cited alongside Akshay Smit, 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 | 2020 | 88 | |
| 2 | 1992 | 42 | |
| 3 | 2021 | 3 | |
| 4 | 2016 | 1 |
About Akshay Smit
Akshay Smit is a scholar working on Artificial Intelligence, Computer Networks and Communications, Molecular Biology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 4 papers that have together received 134 indexed citations. Recurring topics across this work include AI in cancer detection (1 paper), ECG Monitoring and Analysis (1 paper), Congenital Heart Disease Studies (1 paper), Natural Language Processing Techniques (1 paper), COVID-19 diagnosis using AI (1 paper), Wireless Body Area Networks (1 paper), Atomic and Subatomic Physics Research (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Health Informatics (18 citations), Radiology, Nuclear Medicine and Imaging (62 citations), Artificial Intelligence (73 citations), Cardiology and Cardiovascular Medicine (38 citations) and Pulmonary and Respiratory Medicine (34 citations). Akshay Smit has collaborated with scholars based in United States, Netherlands and Vietnam. Frequent co-authors include Andrew Y. Ng, Matthew P. Lungren, Saahil Jain, Anuj Pareek, Pranav Rajpurkar, Peter M. T. Pattynama, Ernst E. van der Wall, Albert de Roos, Mudit Jain and Suzanne van Beek. Their work appears in journals such as Radiotherapy and Oncology, Radiology and arXiv (Cornell 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.