Muzaffar Hamzah
- Artificial Intelligence
- Computer Networks and Communications
- Information Systems
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Muhammed Basheer JasserAli Wagdy MohamedMosab HamdanSuleman KhanAida MustaphaAngela AmphawanFahad Taha AL‐DhiefAg Asri Ag Ibrahim
- Topics
- Online Learning and Analytics (6 papers)Data Visualization and Analytics (6 papers)Medical Image Segmentation Techniques (4 papers)
- Cited by
- Computer Science ApplicationsComputer Networks and CommunicationsIndustrial and Manufacturing Engineering
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSensors
- Partner nations
- MalaysiaSudanSaudi Arabia
In The Last Decade
Muzaffar Hamzah
33 papers receiving 237 citations
Peers
Comparison fields: 5 of 69
- Artificial Intelligence 65
- Computer Networks and Communications 59
- Information Systems 38
- Electrical and Electronic Engineering 31
- Computer Vision and Pattern Recognition 29
Countries citing papers authored by Muzaffar Hamzah
This map shows the geographic impact of Muzaffar Hamzah'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 Muzaffar Hamzah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muzaffar Hamzah more than expected).
Fields of papers citing papers by Muzaffar Hamzah
This network shows the impact of papers produced by Muzaffar Hamzah. 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 Muzaffar Hamzah. The network helps show where Muzaffar Hamzah may publish in the future.
Co-authorship network of co-authors of Muzaffar Hamzah
This figure shows the co-authorship network connecting the top 25 collaborators of Muzaffar Hamzah. A scholar is included among the top collaborators of Muzaffar Hamzah 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 Muzaffar Hamzah. Muzaffar Hamzah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 20 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 12 | |
| 9 | 16 | |
| 10 | 14 | |
| 11 | 3 | |
| 12 | 9 | |
| 13 | 29 | |
| 14 | 36 | |
| 15 | 4 | |
| 16 | 3 | |
| 17 | 8 | |
| 18 | 10 | |
| 19 | 4 | |
| 20 | Assessing the Acceptability of Adaptive E-Learning System | 17 |
About Muzaffar Hamzah
Muzaffar Hamzah is a scholar working on Computer Science Applications, Information Systems and Management and Computer Vision and Pattern Recognition, having authored 38 papers that have together received 247 indexed citations. Recurring topics across this work include Online Learning and Analytics (6 papers), Data Visualization and Analytics (6 papers) and Medical Image Segmentation Techniques (4 papers). The work is most often cited by research in Computer Science Applications (24 citations), Computer Networks and Communications (59 citations) and Industrial and Manufacturing Engineering (25 citations). Muzaffar Hamzah has collaborated with scholars based in Malaysia, Sudan and Saudi Arabia. Frequent co-authors include Muhammed Basheer Jasser, Ali Wagdy Mohamed, Mosab Hamdan, Suleman Khan, Aida Mustapha, Angela Amphawan, Fahad Taha AL‐Dhief, Ag Asri Ag Ibrahim, N. M. Abdul Latiff and Kamaludin Mohamad Yusof. Their work appears in journals such as SHILAP Revista de lepidopterología, 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.