Muhammad Afzaal
- Artificial Intelligence top 10%
- Cognitive Neuroscience top 10%
- Computer Science Applications top 5%
- Sociology and Political Science
- Information Systems top 10%
- Co-authors
- Muhammad UsmanA.C.M. FongJalal NouriMuhammad Bilal QureshiMuhammad Shuaib QureshiMuhammad FayazUno ForsSimon Fong
- Topics
- Online Learning and Analytics (5 papers)Sentiment Analysis and Opinion Mining (5 papers)Digital Marketing and Social Media (4 papers)
- Journals
- Multimedia Tools and ApplicationsIEEE Transactions on Consumer ElectronicsJournal of Information Science
- Partner nations
- SwedenPakistanUnited States
In The Last Decade
Muhammad Afzaal
15 papers receiving 369 citations
Peers
Comparison fields: 5 of 64
- Artificial Intelligence 177
- Cognitive Neuroscience 105
- Computer Science Applications 87
- Sociology and Political Science 64
- Information Systems 48
Countries citing papers authored by Muhammad Afzaal
This map shows the geographic impact of Muhammad Afzaal'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 Afzaal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Afzaal more than expected).
Fields of papers citing papers by Muhammad Afzaal
This network shows the impact of papers produced by Muhammad Afzaal. 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 Afzaal. The network helps show where Muhammad Afzaal may publish in the future.
Co-authorship network of co-authors of Muhammad Afzaal
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Afzaal. A scholar is included among the top collaborators of Muhammad Afzaal 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 Afzaal. Muhammad Afzaal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 0 | |
| 4 | 39 | |
| 5 | 67 | |
| 6 | 4 | |
| 7 | 12 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 95 | |
| 11 | 13 | |
| 12 | 21 | |
| 13 | 62 | |
| 14 | 4 | |
| 15 | 24 | |
| 16 | 28 | |
| 17 | 10 |
About Muhammad Afzaal
Muhammad Afzaal is a scholar working on Computer Science Applications, Artificial Intelligence and Signal Processing, having authored 17 papers that have together received 390 indexed citations. Recurring topics across this work include Online Learning and Analytics (5 papers), Sentiment Analysis and Opinion Mining (5 papers) and Digital Marketing and Social Media (4 papers). The work is most often cited by research in Computer Science Applications (87 citations), Health Informatics (16 citations) and Artificial Intelligence (177 citations). Muhammad Afzaal has collaborated with scholars based in Sweden, Pakistan and United States. Frequent co-authors include Muhammad Usman, A.C.M. Fong, Jalal Nouri, Muhammad Bilal Qureshi, Muhammad Shuaib Qureshi, Muhammad Fayaz, Uno Fors, Simon Fong, Panagiotis Papapetrou and Xiu Li. Their work appears in journals such as Multimedia Tools and Applications, IEEE Transactions on Consumer Electronics and Journal of Information Science.
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.