Muhammad Shafiq
- Information Systems top 5%
- Management Information Systems top 5%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Muhammad Azeem AkbarAnas BilalXiaowen LiuHaixia LongFazal-e- AminArif Ali KhanQinghua ZhangShahid Hussain
- Topics
- Software Engineering Techniques and Practices (12 papers)Software Engineering Research (10 papers)Outsourcing and Supply Chain Management (5 papers)
- Journals
- Scientific ReportsIEEE AccessSensors
- Partner nations
- ChinaSaudi ArabiaPakistan
In The Last Decade
Muhammad Shafiq
32 papers receiving 590 citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Information Systems 246
- Management Information Systems 127
- Artificial Intelligence 124
- Radiology, Nuclear Medicine and Imaging 121
- Computer Vision and Pattern Recognition 90
Countries citing papers authored by Muhammad Shafiq
This map shows the geographic impact of Muhammad Shafiq'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 Muhammad Shafiq with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Shafiq more than expected).
Fields of papers citing papers by Muhammad Shafiq
This network shows the impact of papers produced by Muhammad Shafiq. 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 Muhammad Shafiq. The network helps show where Muhammad Shafiq may publish in the future.
Co-authorship network of co-authors of Muhammad Shafiq
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Shafiq. A scholar is included among the top collaborators of Muhammad Shafiq 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 Muhammad Shafiq. Muhammad Shafiq is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Quantum computational infusion in extreme learning machines for early multi-cancer detectionbreakdown → | 18 |
| 2 | 0 | |
| 3 | 14 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | NIMEQ-SACNet: A novel self-attention precision medicine model for vision-threatening diabetic retinopathy using image databreakdown → | 53 |
| 7 | 31 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 5 | |
| 11 | 2 | |
| 12 | 47 | |
| 13 | 23 | |
| 14 | 3 | |
| 15 | 52 | |
| 16 | 7 | |
| 17 | 7 | |
| 18 | 74 | |
| 19 | 57 | |
| 20 | Self-Perceptions of Heroin Addicts and Nonaddicts | 2 |
About Muhammad Shafiq
Muhammad Shafiq is a scholar working on Health Informatics, Information Systems and Health Information Management, having authored 35 papers that have together received 610 indexed citations. Recurring topics across this work include Software Engineering Techniques and Practices (12 papers), Software Engineering Research (10 papers) and Outsourcing and Supply Chain Management (5 papers). The work is most often cited by research in Management Information Systems (127 citations), Health Information Management (64 citations) and Information Systems (246 citations). Muhammad Shafiq has collaborated with scholars based in China, Saudi Arabia and Pakistan. Frequent co-authors include Muhammad Azeem Akbar, Anas Bilal, Xiaowen Liu, Haixia Long, Haixia Long, Fazal-e- Amin, Arif Ali Khan, Qinghua Zhang, Shahid Hussain and Jun Sang. Their work appears in journals such as Scientific Reports, IEEE Access and Sensors.
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.