Elham Kariri
Impact in
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- Anomaly Detection Techniques and Applications
- Internet Traffic Analysis and Secure E-voting
Papers in
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- Anomaly Detection Techniques and Applications 2
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- Blockchain Technology Applications and Security 4
- Co-authors
- Ali Louati (19 shared papers)Hassen Louati (18 shared papers)Kusum Yadav (4 shared papers)Anil Kumar (1 shared paper)Abolfazl Mehbodniya (1 shared paper)Mohd Anul Haq (1 shared paper)Heba M. El‐Hoseny (2 shared papers)Slim Bechikh (4 shared papers)
- Journals
- Sustainability (3 papers)IEEE Access (3 papers)Applied Sciences (2 papers)Computers & Electrical Engineering (1 paper)Archives of Computational Methods in Engineering (1 paper)
- Partner nations
- Saudi ArabiaBahrainTunisia
In The Last Decade
Elham Kariri
27 papers receiving 231 citations
Peers
Comparison fields: 5 of 73
- Health Informatics 4
- Artificial Intelligence 82
- Computer Networks and Communications 57
- Signal Processing 22
- Transportation 13
Countries citing papers authored by Elham Kariri
This map shows the geographic impact of Elham Kariri'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 Elham Kariri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elham Kariri more than expected).
Fields of papers citing papers by Elham Kariri
This network shows the impact of papers produced by Elham Kariri. 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 Elham Kariri. The network helps show where Elham Kariri may publish in the future.
Co-authors
The 25 scholars most cited alongside Elham Kariri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 43 | |
| 2 | 2024 | 27 | |
| 3 | 2023 | 22 | |
| 4 | 2024 | 14 | |
| 5 | 2022 | 13 | |
| 6 | 2023 | 10 | |
| 7 | 2024 | 9 | |
| 8 | 2023 | 9 | |
| 9 | 2023 | 8 | |
| 10 | 2022 | 8 | |
| 11 | 2024 | 8 | |
| 12 | 2024 | 7 | |
| 13 | 2022 | 7 | |
| 14 | 2022 | 7 | |
| 15 | 2022 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2024 | 6 | |
| 18 | 2024 | 5 | |
| 19 | 2023 | 3 | |
| 20 | 2024 | 3 |
About Elham Kariri
Elham Kariri is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Control and Systems Engineering and Automotive Engineering, having authored 32 papers that have together received 232 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (4 papers), IoT and Edge/Fog Computing (3 papers), Traffic control and management (3 papers), COVID-19 diagnosis using AI (3 papers), Transportation and Mobility Innovations (2 papers), Anomaly Detection Techniques and Applications (2 papers), Transportation Planning and Optimization (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Health Informatics (4 citations), Artificial Intelligence (82 citations), Computer Networks and Communications (57 citations), Signal Processing (22 citations) and Transportation (13 citations). Elham Kariri has collaborated with scholars based in Saudi Arabia, Bahrain and Tunisia. Frequent co-authors include Ali Louati, Hassen Louati, Kusum Yadav, Anil Kumar, Abolfazl Mehbodniya, Mohd Anul Haq, Heba M. El‐Hoseny, Slim Bechikh, Gaurav Dhiman and Wattana Viriyasitavat. Their work appears in journals such as Sustainability, IEEE Access, Applied Sciences, Computers & Electrical Engineering and Archives of Computational Methods in Engineering.
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.