Fadi Muheidat
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- IoT and Edge/Fog Computing 6
- Network Security and Intrusion Detection 3
- Signal Processing top 5%
- Information Systems top 5%
- Blockchain Technology Applications and Security 4
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications 5
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- Context-Aware Activity Recognition Systems 8
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- Gait Recognition and Analysis 4
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- Online Learning and Analytics 2
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- Smart Grid Security and Resilience 2
- Co-authors
- Lo’ai TawalbehMais TawalbehMuhannad QuwaiderHarry W. TyrerDhaval PatelGökay SaldamlıMihail PopescuMarilyn Rantz
- 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
- Signal Processing 128
- Information Systems 252
- Artificial Intelligence 144
- 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
The 14 scholars most cited alongside Fadi Muheidat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 25 | |
| 5 | 2022 | 9 | |
| 6 | 2022 | 14 | |
| 7 | 2022 | 14 | |
| 8 | 2021 | 8 | |
| 9 | 2020 | 13 | |
| 10 | 2020 | 20 | |
| 11 | 2020 | 6 | |
| 12 | 2020 | 1 | |
| 13 | 2020 | 1 | |
| 14 | IoT Privacy and Security: Challenges and Solutionsbreakdown → | 2020 | 434 |
| 15 | 2020 | 19 | |
| 16 | 2019 | 5 | |
| 17 | 2018 | 5 | |
| 18 | 2017 | 2 | |
| 19 | 2017 | 11 | |
| 20 | 2016 | 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), Anomaly Detection Techniques and Applications (5 papers), Blockchain Technology Applications and Security (4 papers), Gait Recognition and Analysis (4 papers), Network Security and Intrusion Detection (3 papers), Online Learning and Analytics (2 papers) and Smart Grid Security and Resilience (2 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.