Salman Qadri
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Plant Science
- Neurology top 10%
- Co-authors
- Syed Furqan QadriDost Muhammad KhanMubashir AhmadLinlin ShenSalabat KhanMuhammad SharifFrancesco MarinelloNaz̲īr Aḥmad
- Topics
- Smart Agriculture and AI (10 papers)Spectroscopy and Chemometric Analyses (6 papers)Leaf Properties and Growth Measurement (5 papers)
In The Last Decade
Salman Qadri
43 papers receiving 795 citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Artificial Intelligence 198
- Computer Vision and Pattern Recognition 182
- Radiology, Nuclear Medicine and Imaging 176
- Plant Science 155
- Neurology 116
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 of co-authors of Salman Qadri
This figure shows the co-authorship network connecting the top 25 collaborators of Salman Qadri. A scholar is included among the top collaborators of Salman Qadri based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Salman Qadri. Salman Qadri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 45 | |
| 6 | 38 | |
| 7 | 50 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 59 | |
| 11 | 60 | |
| 12 | Facial Expression Recognition Through Machine Learning | 21 |
| 13 | Identification of Mango Leaves by Using Artificial Intelligence | 6 |
| 14 | The Impact of Employees’ Turnover at the Productivity of a Software | 4 |
| 15 | Implementation Issues of Agile Methodologies in Pakistan Software Industry | 1 |
| 16 | Software Quality Assurance of Medium Scale Projects by using DXPRUM Methodology | 1 |
| 17 | Software Risk Management In Virtual Team Environment | 1 |
| 18 | Human Computer Interaction (HCI) in Ubiquitous Computing | 10 |
| 19 | Issues of Implementation of CMMI in Pakistan Software Industry | 4 |
| 20 | Testing Automation in Agile Software Development | 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) and Leaf Properties and Growth Measurement (5 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 PLoS ONE, IEEE Access and IEEE Transactions on Smart Grid.
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.