Seifedine Kadry
- Computational Mechanics top 0.2%
- Fluid Dynamics and Turbulent Flows 84
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- Digital Imaging for Blood Diseases 40
- Neurology top 0.5%
- Brain Tumor Detection and Classification 44
- Artificial Intelligence top 0.2%
- AI in cancer detection 40
- Biomedical Engineering top 0.2%
- Nanofluid Flow and Heat Transfer 125
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- Heat Transfer Mechanisms 91
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- COVID-19 diagnosis using AI 46
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- IoT and Edge/Fog Computing 38
- Co-authors
- Yu‐Ming ChuM. Ijaz KhanYunyoung NamMuhammad RamzanMuhammad Attique KhanV. RajinikanthRobertas DamaševičiusWaqar Azeem Khan
- Journals
- SHILAP Revista de lepidopterología (5 papers)PLoS ONE (3 papers)Scientific Reports (21 papers)
In The Last Decade
Seifedine Kadry
634 papers receiving 13.1k citations
Hit Papers
Peers
Comparison fields: 5 of 217
- Computational Mechanics 2.6k
- Computer Vision and Pattern Recognition 2.3k
- Neurology 936
- Artificial Intelligence 3.0k
- Biomedical Engineering 4.1k
Countries citing papers authored by Seifedine Kadry
This map shows the geographic impact of Seifedine Kadry'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 Seifedine Kadry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seifedine Kadry more than expected).
Fields of papers citing papers by Seifedine Kadry
This network shows the impact of papers produced by Seifedine Kadry. 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 Seifedine Kadry. The network helps show where Seifedine Kadry may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Seifedine Kadry, 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 | 0 | |
| 2 | 2025 | 13 | |
| 3 | 2024 | 18 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 21 | |
| 9 | 2023 | 27 | |
| 10 | 2023 | 15 | |
| 11 | 2023 | 9 | |
| 12 | 2023 | 32 | |
| 13 | 2023 | 30 | |
| 14 | 2023 | 4 | |
| 15 | 2023 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2023 | 5 | |
| 18 | 2023 | 37 | |
| 19 | 2022 | 14 | |
| 20 | 2022 | 14 |
About Seifedine Kadry
Seifedine Kadry is a scholar working on Computer Vision and Pattern Recognition, Neurology and Computational Mechanics, having authored 675 papers that have together received 13.8k indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (125 papers), Heat Transfer Mechanisms (91 papers), Fluid Dynamics and Turbulent Flows (84 papers), COVID-19 diagnosis using AI (46 papers), Brain Tumor Detection and Classification (44 papers), Digital Imaging for Blood Diseases (40 papers), AI in cancer detection (40 papers) and IoT and Edge/Fog Computing (38 papers). The work is most often cited by research in Computational Mechanics (2.6k citations), Computer Vision and Pattern Recognition (2.3k citations) and Neurology (936 citations). Seifedine Kadry has collaborated with scholars based in Lebanon, Pakistan and India. Frequent co-authors include Yu‐Ming Chu, M. Ijaz Khan, Yunyoung Nam, Muhammad Ramzan, Muhammad Attique Khan, V. Rajinikanth, Robertas Damaševičius, Waqar Azeem Khan, Hafiz Tayyab Rauf and Muhammad Sharif. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.