Moad Mowafi

400 citations
34 papers · 283 · h-index 7

Impact in

Papers in

Moad Mowafi

30 papers receiving 263 citations

Peers

Moad Mowafi
Comparison fields: 5 of 56
  • Computer Vision and Pattern Recognition 114
  • Computer Networks and Communications 124
  • Health Informatics 6
  • Anatomy 3
  • Human-Computer Interaction 8
Replace Yonglin Ren with:
Yonglin Ren Canada
Haneya Naeem Qureshi United States
Kim Hartmann Germany
Zhihong He China
Michael Nidd United States
Mohammad Amzad Hossain Bangladesh
Takahiro Uchiya Japan
Wenjie Hu China
Jürgen Nehmer Germany
Ashish Patel India
Moad Mowafi relative to Yonglin Ren Canada Yonglin Ren's profile →
Citations per field
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Yonglin Ren · 1×
Citations per year

Countries citing papers authored by Moad Mowafi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 12 scholars most cited alongside Moad Mowafi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Moad Mowafi Line = papers co-authored together Moad Mowafi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201353
2 201353
3 200339
4 202124
5 201218
6 201414
7
Distributed interactive virtual environments for collaborative experiential learning and training independent of distance over Internet2.
200411
8 20136
9 20146
10 20115
11 20135
12 20155
13 20205
14 20185
15 20124
16 20194
17 20173
18 20193
19
Distributed interactive virtual environments for collaborative medical education and training: design and characterization.
20043
20 20133

About Moad Mowafi

Moad Mowafi is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence and Biomedical Engineering, 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), Advanced Steganography and Watermarking Techniques (6 papers), Chaos-based Image/Signal Encryption (6 papers), Advanced Data Compression Techniques (5 papers), Cooperative Communication and Network Coding (4 papers), Advanced Wireless Network Optimization (3 papers) and IoT-based Smart Home Systems (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (114 citations), Computer Networks and Communications (124 citations), Health Informatics (6 citations), Anatomy (3 citations) and Human-Computer Interaction (8 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, Joshua Jacobs, Dale C. Alverson, Scott Lozanoff, Summers Kalishman, Mamoun F. Al‐Mistarihi, A. Sherstyuk and Nan Jiang. Their work appears in journals such as Computer Networks, IET Information Security, International Journal on Communications Antenna and Propagation (IRECAP), International Journal of Image and Data Fusion and International Journal of Fuzzy System Applications.

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.

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