Muhammad Zawish
- Information Systems top 2%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Media Technology top 10%
- Co-authors
- Asad Ali SiyalAisha Zahid JunejoSteven DavyFayaz Ali DharejoKapal DevSunder Ali KhowajaYuanchun ZhouPaolo Bellavista
- Topics
- IoT and Edge/Fog Computing (4 papers)Advanced Image Processing Techniques (4 papers)Advanced Neural Network Applications (3 papers)
In The Last Decade
Muhammad Zawish
15 papers receiving 522 citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Information Systems 265
- Computer Networks and Communications 154
- Computer Vision and Pattern Recognition 145
- Artificial Intelligence 79
- Media Technology 48
Countries citing papers authored by Muhammad Zawish
This map shows the geographic impact of Muhammad Zawish'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 Zawish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Zawish more than expected).
Fields of papers citing papers by Muhammad Zawish
This network shows the impact of papers produced by Muhammad Zawish. 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 Zawish. The network helps show where Muhammad Zawish may publish in the future.
Co-authorship network of co-authors of Muhammad Zawish
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Zawish. A scholar is included among the top collaborators of Muhammad Zawish 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 Zawish. Muhammad Zawish is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | AI and 6G Into the Metaverse: Fundamentals, Challenges and Future Research Trendsbreakdown → | 70 |
| 2 | 1 | |
| 3 | 15 | |
| 4 | 21 | |
| 5 | 5 | |
| 6 | 25 | |
| 7 | 22 | |
| 8 | 3 | |
| 9 | 21 | |
| 10 | 15 | |
| 11 | 32 | |
| 12 | 13 | |
| 13 | 5 | |
| 14 | Applications of Blockchain Technology in Medicine and Healthcare: Challenges and Future Perspectivesbreakdown → | 286 |
| 15 | 11 |
About Muhammad Zawish
Muhammad Zawish is a scholar working on Computer Vision and Pattern Recognition, Neurology and Media Technology, having authored 15 papers that have together received 545 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (4 papers), Advanced Image Processing Techniques (4 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Information Systems (265 citations), Health Informatics (14 citations) and Computer Vision and Pattern Recognition (145 citations). Muhammad Zawish has collaborated with scholars based in Ireland, Pakistan and China. Frequent co-authors include Asad Ali Siyal, Aisha Zahid Junejo, Steven Davy, Fayaz Ali Dharejo, Kapal Dev, Sunder Ali Khowaja, Yuanchun Zhou, Paolo Bellavista, Saleem Raza and Farah Deeba. Their work appears in journals such as Sensors, IEEE Transactions on Fuzzy Systems and IEEE Internet of Things Journal.
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.