Muhammad Arif Shah
- Information Systems top 5%
- Artificial Intelligence top 10%
- Software top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Karzan WakilMuhammad YounasDayang N. A. JawawiRashid NaseemAtif KhanM. Irfan UddinBilal KhanImran Ghani
- Topics
- Software Engineering Research (9 papers)Software Reliability and Analysis Research (7 papers)Software Engineering Techniques and Practices (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaMonthly Notices of the Royal Astronomical SocietyIEEE Access
- Partner nations
- PakistanSaudi ArabiaMalaysia
In The Last Decade
Muhammad Arif Shah
27 papers receiving 338 citations
Peers
Comparison fields: 5 of 81
- Information Systems 189
- Artificial Intelligence 93
- Software 91
- Computer Networks and Communications 67
- Computer Vision and Pattern Recognition 36
Countries citing papers authored by Muhammad Arif Shah
This map shows the geographic impact of Muhammad Arif Shah'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 Arif Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Arif Shah more than expected).
Fields of papers citing papers by Muhammad Arif Shah
This network shows the impact of papers produced by Muhammad Arif Shah. 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 Arif Shah. The network helps show where Muhammad Arif Shah may publish in the future.
Co-authorship network of co-authors of Muhammad Arif Shah
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Arif Shah. A scholar is included among the top collaborators of Muhammad Arif Shah 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 Arif Shah. Muhammad Arif Shah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 4 | |
| 6 | 24 | |
| 7 | 14 | |
| 8 | 3 | |
| 9 | 14 | |
| 10 | 32 | |
| 11 | 31 | |
| 12 | 25 | |
| 13 | 18 | |
| 14 | 36 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | 6 | |
| 18 | 3 | |
| 19 | 8 | |
| 20 | 4 |
About Muhammad Arif Shah
Muhammad Arif Shah is a scholar working on Software, Information Systems and Computer Science Applications, having authored 28 papers that have together received 356 indexed citations. Recurring topics across this work include Software Engineering Research (9 papers), Software Reliability and Analysis Research (7 papers) and Software Engineering Techniques and Practices (7 papers). The work is most often cited by research in Software (91 citations), Information Systems (189 citations) and Health Information Management (32 citations). Muhammad Arif Shah has collaborated with scholars based in Pakistan, Saudi Arabia and Malaysia. Frequent co-authors include Karzan Wakil, Muhammad Younas, Dayang N. A. Jawawi, Rashid Naseem, Atif Khan, M. Irfan Uddin, Bilal Khan, Imran Ghani, Abdelzahir Abdelmaboud and Marwan Mahmoud. Their work appears in journals such as SHILAP Revista de lepidopterología, Monthly Notices of the Royal Astronomical Society and IEEE Access.
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.