Samreen Naeem
Impact in
- Analytical Chemistry top 5%
- Spectroscopy and Chemometric Analyses
- Health Informatics top 10%
Papers in
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- Spectroscopy and Chemometric Analyses 5
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- Radiomics and Machine Learning in Medical Imaging 3
- COVID-19 diagnosis using AI 2
- Co-authors
- Aqib Ali (27 shared papers)Sania Anam (18 shared papers)Christophe Chesneau (9 shared papers)Farrukh Jamal (10 shared papers)Prof.Dr. Wali Khan Mashwani (6 shared papers)Salman Qadri (3 shared papers)Muhammad Hussain Tahir (2 shared papers)Rehan Ahmad Khan Sherwani (1 shared paper)
In The Last Decade
Samreen Naeem
24 papers receiving 507 citations
Samreen Naeem's Hit Papers
Peers
Comparison fields: 5 of 117
- Analytical Chemistry 115
- Health Informatics 15
- Health Information Management 26
- Radiology, Nuclear Medicine and Imaging 98
- Neurology 35
Countries citing papers authored by Samreen Naeem
This map shows the geographic impact of Samreen Naeem'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 Samreen Naeem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samreen Naeem more than expected).
Fields of papers citing papers by Samreen Naeem
This network shows the impact of papers produced by Samreen Naeem. 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 Samreen Naeem. The network helps show where Samreen Naeem may publish in the future.
Co-authors
The 25 scholars most cited alongside Samreen Naeem, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An Unsupervised Machine Learning Algorithms: Comprehensive Review Hit paper breakdown → | 2023 | 139 |
| 2 | 2021 | 84 | |
| 3 | 2020 | 74 | |
| 4 | 2020 | 67 | |
| 5 | 2020 | 64 | |
| 6 | 2020 | 17 | |
| 7 | 2021 | 17 | |
| 8 | 2020 | 14 | |
| 9 | 2023 | 13 | |
| 10 | 2021 | 9 | |
| 11 | 2022 | 5 | |
| 12 | 2022 | 5 | |
| 13 | 2022 | 4 | |
| 14 | 2020 | 4 | |
| 15 | 2022 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2022 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2022 | 2 |
About Samreen Naeem
Samreen Naeem is a scholar working on Analytical Chemistry, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Health Information Management and Neurology, having authored 27 papers that have together received 534 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (5 papers), Smart Agriculture and AI (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (3 papers), Artificial Intelligence in Healthcare (2 papers), COVID-19 diagnosis using AI (2 papers), Traffic Prediction and Management Techniques (2 papers) and Brain Tumor Detection and Classification (2 papers). The work is most often cited by research in Analytical Chemistry (115 citations), Health Informatics (15 citations), Health Information Management (26 citations), Radiology, Nuclear Medicine and Imaging (98 citations) and Neurology (35 citations). Samreen Naeem has collaborated with scholars based in Pakistan, China and France. Frequent co-authors include Aqib Ali, Sania Anam, Christophe Chesneau, Farrukh Jamal, Prof.Dr. Wali Khan Mashwani, Salman Qadri, Muhammad Hussain Tahir, Rehan Ahmad Khan Sherwani, Mahmood Ul Hassan and Wiyada Kumam. Their work appears in journals such as Computers, materials & continua/Computers, materials & continua (Print), International Journal of Food Properties, Journal of Intelligent & Fuzzy Systems, Applied Sciences and Chaos An Interdisciplinary Journal of Nonlinear Science.
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.