Sameer Khan
Impact in
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- Artificial Intelligence in Healthcare
Papers in
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- AI in cancer detection 5
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- Digital Imaging for Blood Diseases 3
- Medical Image Segmentation Techniques 3
- Advanced Image and Video Retrieval Techniques 3
- Image Retrieval and Classification Techniques 3
- Co-authors
- Yonis Gulzar (2 shared papers)Suet-Peng Yong (5 shared papers)Vasant Matsagar (2 shared papers)Virendra Kumar Vijay (5 shared papers)Ram Chandra (4 shared papers)Subodh Kumar (4 shared papers)Tinku Casper D’ Silva (2 shared papers)Sherzod Turaev (1 shared paper)
- Journals
- The Journal of Maternal-Fetal & Neonatal Medicine (3 papers)Obstetrics and Gynecology (2 papers)Journal of Surgical Oncology (2 papers)Journal of Performance of Constructed Facilities (2 papers)Placenta (1 paper)
- Partner nations
- United StatesIndiaMalaysia
In The Last Decade
Sameer Khan
41 papers receiving 504 citations
Peers
Comparison fields: 5 of 104
- Health Information Management 33
- Medical Laboratory Technology 7
- Energy Engineering and Power Technology 15
- Neurology 36
- Artificial Intelligence 138
Countries citing papers authored by Sameer Khan
This map shows the geographic impact of Sameer Khan'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 Sameer Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sameer Khan more than expected).
Fields of papers citing papers by Sameer Khan
This network shows the impact of papers produced by Sameer Khan. 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 Sameer Khan. The network helps show where Sameer Khan may publish in the future.
Co-authors
The 25 scholars most cited alongside Sameer Khan, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 85 | |
| 2 | 2023 | 38 | |
| 3 | 2020 | 38 | |
| 4 | 2017 | 36 | |
| 5 | 2021 | 31 | |
| 6 | 2016 | 31 | |
| 7 | 2021 | 31 | |
| 8 | 2017 | 27 | |
| 9 | 2021 | 20 | |
| 10 | 2017 | 18 | |
| 11 | 2016 | 16 | |
| 12 | 2023 | 14 | |
| 13 | 2023 | 13 | |
| 14 | 2016 | 11 | |
| 15 | 2021 | 11 | |
| 16 | 2024 | 9 | |
| 17 | 2023 | 8 | |
| 18 | 2015 | 8 | |
| 19 | 2023 | 7 | |
| 20 | 2018 | 7 |
About Sameer Khan
Sameer Khan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Biomedical Engineering, Mechanical Engineering and Molecular Biology, having authored 45 papers that have together received 524 indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Thermochemical Biomass Conversion Processes (4 papers), Digital Imaging for Blood Diseases (3 papers), Medical Image Segmentation Techniques (3 papers), Single-cell and spatial transcriptomics (3 papers), Anaerobic Digestion and Biogas Production (3 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Image Retrieval and Classification Techniques (3 papers). The work is most often cited by research in Health Information Management (33 citations), Medical Laboratory Technology (7 citations), Energy Engineering and Power Technology (15 citations), Neurology (36 citations) and Artificial Intelligence (138 citations). Sameer Khan has collaborated with scholars based in United States, India and Malaysia. Frequent co-authors include Yonis Gulzar, Suet-Peng Yong, Vasant Matsagar, Virendra Kumar Vijay, Ram Chandra, Subodh Kumar, Tinku Casper D’ Silva, Sherzod Turaev, Sandip Kumar Saha and Benno Hoffmeister. Their work appears in journals such as The Journal of Maternal-Fetal & Neonatal Medicine, Obstetrics and Gynecology, Journal of Surgical Oncology, Journal of Performance of Constructed Facilities and Placenta.
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.