Moad Mowafi
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Information Systems
- Co-authors
- Eyad TaqieddinLo’ai TawalbehThomas P. CaudellDale C. AlversonJoshua JacobsScott LozanoffA. SherstyukMamoun F. Al‐Mistarihi
- Topics
- Energy Efficient Wireless Sensor Networks (12 papers)Energy Harvesting in Wireless Networks (7 papers)Chaos-based Image/Signal Encryption (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Networks and CommunicationsHealth Informatics
- Journals
- SHILAP Revista de lepidopterologíaSensorsComputer Networks
- Partner nations
- JordanUnited States
In The Last Decade
Moad Mowafi
30 papers receiving 263 citations
Peers
Comparison fields: 5 of 56
- Computer Networks and Communications 124
- Computer Vision and Pattern Recognition 114
- Electrical and Electronic Engineering 76
- Artificial Intelligence 45
- Information Systems 32
Countries citing papers authored by Moad Mowafi
This map shows the geographic impact of Moad Mowafi'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 Moad Mowafi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moad Mowafi more than expected).
Fields of papers citing papers by Moad Mowafi
This network shows the impact of papers produced by Moad Mowafi. 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 Moad Mowafi. The network helps show where Moad Mowafi may publish in the future.
Co-authorship network of co-authors of Moad Mowafi
This figure shows the co-authorship network connecting the top 25 collaborators of Moad Mowafi. A scholar is included among the top collaborators of Moad Mowafi 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 Moad Mowafi. Moad Mowafi 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 | 0 | |
| 3 | 2 | |
| 4 | 24 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 53 | |
| 11 | 53 | |
| 12 | 1 | |
| 13 | 5 | |
| 14 | An optimum scheme for WiMAX bandwidth management using Dynamic Channel Allocation | 1 |
| 15 | A dual usage of Cognitive Radio in managing the WiMAX bandwidth | 1 |
| 16 | 0 | |
| 17 | 5 | |
| 18 | 39 | |
| 19 | Design and evaluation of a flexible framework for collaborative virtual environments | 1 |
| 20 | 2 |
About Moad Mowafi
Moad Mowafi is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 34 papers that have together received 283 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (12 papers), Energy Harvesting in Wireless Networks (7 papers) and Chaos-based Image/Signal Encryption (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (114 citations), Computer Networks and Communications (124 citations) and Health Informatics (6 citations). Moad Mowafi has collaborated with scholars based in Jordan and United States. Frequent co-authors include Eyad Taqieddin, Lo’ai Tawalbeh, Thomas P. Caudell, Dale C. Alverson, Joshua Jacobs, Scott Lozanoff, A. Sherstyuk, Mamoun F. Al‐Mistarihi, Summers Kalishman and Nan Jiang. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and Computer Networks.
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.