Salman Qadri
- Neurology top 10%
- Brain Tumor Detection and Classification 4
- Analytical Chemistry top 5%
- Spectroscopy and Chemometric Analyses 6
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- Artificial Intelligence in Healthcare 3
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- Smart Agriculture and AI 10
- Leaf Properties and Growth Measurement 5
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- AI in cancer detection 5
- Sentiment Analysis and Opinion Mining 3
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- Software Engineering Techniques and Practices 5
Salman Qadri
43 papers receiving 795 citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Neurology 116
- Analytical Chemistry 93
- Computer Vision and Pattern Recognition 182
- Health Information Management 40
- Radiology, Nuclear Medicine and Imaging 176
Countries citing papers authored by Salman Qadri
This map shows the geographic impact of Salman Qadri'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 Salman Qadri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Salman Qadri more than expected).
Fields of papers citing papers by Salman Qadri
This network shows the impact of papers produced by Salman Qadri. 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 Salman Qadri. The network helps show where Salman Qadri may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Salman Qadri, 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 | 2025 | 3 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 4 | |
| 5 | 2022 | 45 | |
| 6 | 2022 | 38 | |
| 7 | 2021 | 50 | |
| 8 | 2021 | 4 | |
| 9 | 2021 | 4 | |
| 10 | 2020 | 59 | |
| 11 | 2020 | 60 | |
| 12 | Facial Expression Recognition Through Machine Learning | 2016 | 21 |
| 13 | Identification of Mango Leaves by Using Artificial Intelligence | 2015 | 6 |
| 14 | The Impact of Employees’ Turnover at the Productivity of a Software | 2015 | 4 |
| 15 | Implementation Issues of Agile Methodologies in Pakistan Software Industry | 2014 | 1 |
| 16 | Software Quality Assurance of Medium Scale Projects by using DXPRUM Methodology | 2014 | 1 |
| 17 | Software Risk Management In Virtual Team Environment | 2014 | 1 |
| 18 | Human Computer Interaction (HCI) in Ubiquitous Computing | 2014 | 10 |
| 19 | Issues of Implementation of CMMI in Pakistan Software Industry | 2014 | 4 |
| 20 | Testing Automation in Agile Software Development | 2014 | 2 |
About Salman Qadri
Salman Qadri is a scholar working on Health Information Management, Analytical Chemistry and Neurology, having authored 45 papers that have together received 845 indexed citations. Recurring topics across this work include Smart Agriculture and AI (10 papers), Spectroscopy and Chemometric Analyses (6 papers), Leaf Properties and Growth Measurement (5 papers), AI in cancer detection (5 papers), Software Engineering Techniques and Practices (5 papers), Brain Tumor Detection and Classification (4 papers), Sentiment Analysis and Opinion Mining (3 papers) and Artificial Intelligence in Healthcare (3 papers). The work is most often cited by research in Neurology (116 citations), Analytical Chemistry (93 citations) and Computer Vision and Pattern Recognition (182 citations). Salman Qadri has collaborated with scholars based in Pakistan, China and Finland. Frequent co-authors include Syed Furqan Qadri, Dost Muhammad Khan, Mubashir Ahmad, Linlin Shen, Salabat Khan, Muhammad Sharif, Francesco Marinello, Naz̲īr Aḥmad, Muhammad Azeem Akbar and Christophe Chesneau. Their work appears in journals such as International Journal of Food Properties, Evolutionary Bioinformatics, IEEE Access, Applied Artificial Intelligence and Complexity.
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.