Imran Shafi
Impact in
- Health Informatics top 5%
- General Dentistry top 5%
Papers in
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- Neural Networks and Applications 11
-
- Image and Signal Denoising Methods 7
- Co-authors
- Imran Ashraf (38 shared papers)Jamil Ahmad (21 shared papers)Isabel de la Torre Díez (13 shared papers)Syed Ismail Shah (11 shared papers)Faisal M. Kashif (9 shared papers)Sadia Din (12 shared papers)José Breñosa (5 shared papers)Hammad Afzal (3 shared papers)
- Journals
- IEEE Access (4 papers)Sensors (4 papers)Energy Reports (2 papers)Sustainability (2 papers)Natural Hazards (2 papers)
- Partner nations
- PakistanSouth KoreaSpain
In The Last Decade
Imran Shafi
92 papers receiving 1.2k citations
Imran Shafi's Hit Papers
Peers
Comparison fields: 5 of 140
- Health Informatics 44
- General Dentistry 26
- Oral Surgery 109
- Health Information Management 69
- Computer Vision and Pattern Recognition 191
Countries citing papers authored by Imran Shafi
This map shows the geographic impact of Imran Shafi'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 Imran Shafi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Imran Shafi more than expected).
Fields of papers citing papers by Imran Shafi
This network shows the impact of papers produced by Imran Shafi. 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 Imran Shafi. The network helps show where Imran Shafi may publish in the future.
Co-authors
The 25 scholars most cited alongside Imran Shafi, 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 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 88 | |
| 2 | A Systematic Review of Disaster Management Systems: Approaches, Challenges, and Future Directions Hit paper breakdown → | 2023 | 83 |
| 3 | 2009 | 69 | |
| 4 | 2022 | 66 | |
| 5 | 2006 | 55 | |
| 6 | 2023 | 52 | |
| 7 | 2013 | 46 | |
| 8 | 2023 | 44 | |
| 9 | 2018 | 40 | |
| 10 | 2023 | 38 | |
| 11 | 2011 | 34 | |
| 12 | 2023 | 33 | |
| 13 | 2022 | 32 | |
| 14 | 2023 | 29 | |
| 15 | 2023 | 28 | |
| 16 | 2022 | 25 | |
| 17 | 2015 | 24 | |
| 18 | 2023 | 23 | |
| 19 | 2023 | 20 | |
| 20 | 2021 | 19 |
About Imran Shafi
Imran Shafi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 97 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neural Networks and Applications (11 papers), Image and Signal Denoising Methods (7 papers), Machine Fault Diagnosis Techniques (7 papers), Cognitive Radio Networks and Spectrum Sensing (6 papers), Fault Detection and Control Systems (5 papers), Blind Source Separation Techniques (5 papers), Advanced Adaptive Filtering Techniques (5 papers) and Medical Imaging and Analysis (5 papers). The work is most often cited by research in Health Informatics (44 citations), General Dentistry (26 citations), Oral Surgery (109 citations), Health Information Management (69 citations) and Computer Vision and Pattern Recognition (191 citations). Imran Shafi has collaborated with scholars based in Pakistan, South Korea and Spain. Frequent co-authors include Imran Ashraf, Jamil Ahmad, Isabel de la Torre Díez, Syed Ismail Shah, Faisal M. Kashif, Sadia Din, José Breñosa, Hammad Afzal, Miguel Ángel López Flores and Kilian Tutusaus Pifarré. Their work appears in journals such as IEEE Access, Sensors, Energy Reports, Sustainability and Natural Hazards.
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.