Fadi Muheidat
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Lo’ai TawalbehMais TawalbehMuhannad QuwaiderHarry W. TyrerDhaval PatelGökay SaldamlıMihail PopescuMarilyn Rantz
- Topics
- Context-Aware Activity Recognition Systems (8 papers)IoT and Edge/Fog Computing (6 papers)Anomaly Detection Techniques and Applications (5 papers)
- Partner nations
- United StatesJordanEgypt
In The Last Decade
Fadi Muheidat
21 papers receiving 598 citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Computer Networks and Communications 320
- Information Systems 252
- Artificial Intelligence 144
- Signal Processing 128
- Computer Vision and Pattern Recognition 84
Countries citing papers authored by Fadi Muheidat
This map shows the geographic impact of Fadi Muheidat'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 Fadi Muheidat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fadi Muheidat more than expected).
Fields of papers citing papers by Fadi Muheidat
This network shows the impact of papers produced by Fadi Muheidat. 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 Fadi Muheidat. The network helps show where Fadi Muheidat may publish in the future.
Co-authorship network of co-authors of Fadi Muheidat
This figure shows the co-authorship network connecting the top 25 collaborators of Fadi Muheidat. A scholar is included among the top collaborators of Fadi Muheidat 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 Fadi Muheidat. Fadi Muheidat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 25 | |
| 5 | 9 | |
| 6 | 14 | |
| 7 | 14 | |
| 8 | 8 | |
| 9 | 13 | |
| 10 | 20 | |
| 11 | 6 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | IoT Privacy and Security: Challenges and Solutionsbreakdown → | 434 |
| 15 | 19 | |
| 16 | 5 | |
| 17 | 5 | |
| 18 | 2 | |
| 19 | 11 | |
| 20 | 9 |
About Fadi Muheidat
Fadi Muheidat is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Computer Science Applications, having authored 22 papers that have together received 630 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (8 papers), IoT and Edge/Fog Computing (6 papers) and Anomaly Detection Techniques and Applications (5 papers). The work is most often cited by research in Computer Networks and Communications (320 citations), Signal Processing (128 citations) and Information Systems (252 citations). Fadi Muheidat has collaborated with scholars based in United States, Jordan and Egypt. Frequent co-authors include Lo’ai Tawalbeh, Mais Tawalbeh, Muhannad Quwaider, Harry W. Tyrer, Dhaval Patel, Gökay Saldamlı, Mihail Popescu, Marilyn Rantz, Ahmed A. Abd El‐Latif and Yunfei Hou. Their work appears in journals such as IEEE Access, Applied Sciences and Measurement.
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.