Sameer Khan
Impact in
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- Brain Tumor Detection and Classification
Papers in
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- AI in cancer detection 4
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- Image Retrieval and Classification Techniques 3
- Medical Image Segmentation Techniques 3
- Advanced Image and Video Retrieval Techniques 3
- Co-authors
- Yonis Gulzar (2 shared papers)Suet-Peng Yong (4 shared papers)Vasant Matsagar (2 shared papers)Sherzod Turaev (1 shared paper)Benno Hoffmeister (1 shared paper)Virendra Kumar Vijay (3 shared papers)Sandip Kumar Saha (1 shared paper)Tinku Casper D’ Silva (2 shared papers)
- Journals
- The Journal of Maternal-Fetal & Neonatal Medicine (2 papers)Obstetrics and Gynecology (2 papers)Journal of Surgical Oncology (2 papers)Journal of Performance of Constructed Facilities (2 papers)Nature Methods (1 paper)
- Partner nations
- United StatesSaudi ArabiaIndia
In The Last Decade
Sameer Khan
37 papers receiving 407 citations
Peers
Comparison fields: 5 of 102
- Neurology 31
- Energy Engineering and Power Technology 11
- Artificial Intelligence 108
- Computer Vision and Pattern Recognition 66
- Building and Construction 38
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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 77 | |
| 2 | 2017 | 32 | |
| 3 | 2021 | 30 | |
| 4 | 2023 | 29 | |
| 5 | 2021 | 28 | |
| 6 | 2016 | 27 | |
| 7 | 2017 | 26 | |
| 8 | 2021 | 19 | |
| 9 | 2017 | 17 | |
| 10 | 2016 | 16 | |
| 11 | 2023 | 13 | |
| 12 | 2023 | 10 | |
| 13 | 2021 | 9 | |
| 14 | 2024 | 8 | |
| 15 | 2015 | 8 | |
| 16 | 2023 | 7 | |
| 17 | 2023 | 7 | |
| 18 | 2024 | 6 | |
| 19 | 2022 | 6 | |
| 20 | 2023 | 6 |
About Sameer Khan
Sameer Khan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Biomedical Engineering, Surgery and Pediatrics, Perinatology and Child Health, having authored 41 papers that have together received 424 indexed citations. Recurring topics across this work include AI in cancer detection (4 papers), Anaerobic Digestion and Biogas Production (3 papers), Thermochemical Biomass Conversion Processes (3 papers), Single-cell and spatial transcriptomics (3 papers), Image Retrieval and Classification Techniques (3 papers), Medical Image Segmentation Techniques (3 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Neonatal Respiratory Health Research (3 papers). The work is most often cited by research in Neurology (31 citations), Energy Engineering and Power Technology (11 citations), Artificial Intelligence (108 citations), Computer Vision and Pattern Recognition (66 citations) and Building and Construction (38 citations). Sameer Khan has collaborated with scholars based in United States, Saudi Arabia and India. Frequent co-authors include Yonis Gulzar, Suet-Peng Yong, Vasant Matsagar, Sherzod Turaev, Benno Hoffmeister, Virendra Kumar Vijay, Sandip Kumar Saha, Tinku Casper D’ Silva, Ram Chandra and Shehzad Ahmed. 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 Nature Methods.
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.