Muhammad Faisal Abrar
- Medical Laboratory Technology top 10%
- Management Information Systems top 10%
- Outsourcing and Supply Chain Management 3
- Big Data and Business Intelligence 2
- Information Systems top 5%
- Software Engineering Research 6
- Software Engineering Techniques and Practices 6
- Information and Cyber Security 2
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- Software System Performance and Reliability 5
- IoT and Edge/Fog Computing 2
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- Misinformation and Its Impacts 2
- Co-authors
- Sikandar AliMuhammad UsmanNajeeb UllahAli SamadMuhammad Faran MajeedNiamat UllahHongqi LiJiwei Huang
- Partner nations
- PakistanChinaSaudi Arabia
In The Last Decade
Muhammad Faisal Abrar
19 papers receiving 265 citations
Peers
Comparison fields: 5 of 79
- Health Information Management 71
- Medical Laboratory Technology 12
- Management Information Systems 55
- Information Systems 115
- Management of Technology and Innovation 25
Countries citing papers authored by Muhammad Faisal Abrar
This map shows the geographic impact of Muhammad Faisal Abrar'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 Faisal Abrar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Faisal Abrar more than expected).
Fields of papers citing papers by Muhammad Faisal Abrar
This network shows the impact of papers produced by Muhammad Faisal Abrar. 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 Faisal Abrar. The network helps show where Muhammad Faisal Abrar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Muhammad Faisal Abrar, 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 | 2023 | 0 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 85 | |
| 6 | 2022 | 18 | |
| 7 | 2021 | 1 | |
| 8 | 2021 | 1 | |
| 9 | 2021 | 2 | |
| 10 | 2021 | 21 | |
| 11 | 2021 | 5 | |
| 12 | 2021 | 10 | |
| 13 | 2021 | 7 | |
| 14 | 2020 | 15 | |
| 15 | 2020 | 1 | |
| 16 | 2019 | 42 | |
| 17 | 2019 | 17 | |
| 18 | 2019 | 16 | |
| 19 | 2018 | 8 | |
| 20 | MVC Software Design Pattern in Web Application Development | 2014 | 2 |
About Muhammad Faisal Abrar
Muhammad Faisal Abrar is a scholar working on Information Systems, Management Information Systems and Information Systems and Management, having authored 22 papers that have together received 276 indexed citations. Recurring topics across this work include Software Engineering Research (6 papers), Software Engineering Techniques and Practices (6 papers), Software System Performance and Reliability (5 papers), Outsourcing and Supply Chain Management (3 papers), Big Data and Business Intelligence (2 papers), Misinformation and Its Impacts (2 papers), Information and Cyber Security (2 papers) and IoT and Edge/Fog Computing (2 papers). The work is most often cited by research in Health Information Management (71 citations), Medical Laboratory Technology (12 citations) and Management Information Systems (55 citations). Muhammad Faisal Abrar has collaborated with scholars based in Pakistan, China and Saudi Arabia. Frequent co-authors include Sikandar Ali, Muhammad Usman, Najeeb Ullah, Ali Samad, Muhammad Faran Majeed, Niamat Ullah, Hongqi Li, Jiwei Huang, Muhammad Sohail Khan and Amjad Ali. Their work appears in journals such as Scientific Reports, IEEE Access and Applied Sciences.
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.