Adel Ammar
Impact in
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- Robotic Path Planning Algorithms
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Health Informatics top 5%
Papers in
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- Robotic Path Planning Algorithms 12
- Advanced Neural Network Applications 11
- Video Surveillance and Tracking Methods 5
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- Anomaly Detection Techniques and Applications 6
- Internet Traffic Analysis and Secure E-voting 5
- Co-authors
- Anis Koubâa (34 shared papers)Bilel Benjdira (16 shared papers)Hachémi Bennaceur (9 shared papers)I. Châari (8 shared papers)Wadii Boulila (13 shared papers)Maram Alajlan (6 shared papers)Ahmad Taher Azar (4 shared papers)Tarek Abbes (1 shared paper)
- Journals
- Electronics (4 papers)Applied Sciences (3 papers)Remote Sensing (2 papers)Sensors (2 papers)Engineering Applications of Artificial Intelligence (1 paper)
- Partner nations
- Saudi ArabiaTunisiaPortugal
In The Last Decade
Adel Ammar
52 papers receiving 1.5k citations
Adel Ammar's Hit Papers
Peers
Comparison fields: 5 of 128
- Computer Vision and Pattern Recognition 683
- Health Informatics 23
- Neurology 107
- Aerospace Engineering 327
- Artificial Intelligence 370
Countries citing papers authored by Adel Ammar
This map shows the geographic impact of Adel Ammar'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 Adel Ammar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adel Ammar more than expected).
Fields of papers citing papers by Adel Ammar
This network shows the impact of papers produced by Adel Ammar. 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 Adel Ammar. The network helps show where Adel Ammar may publish in the future.
Co-authors
The 25 scholars most cited alongside Adel Ammar, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Drone Deep Reinforcement Learning: A Review Hit paper breakdown → | 2021 | 199 |
| 2 | 2022 | 121 | |
| 3 | 2017 | 120 | |
| 4 | 2015 | 103 | |
| 5 | 2014 | 74 | |
| 6 | 2017 | 68 | |
| 7 | 2021 | 63 | |
| 8 | 2020 | 56 | |
| 9 | 2021 | 53 | |
| 10 | 2014 | 47 | |
| 11 | 2021 | 44 | |
| 12 | 2021 | 41 | |
| 13 | 2023 | 40 | |
| 14 | 2018 | 40 | |
| 15 | 2013 | 39 | |
| 16 | 2022 | 35 | |
| 17 | 2021 | 35 | |
| 18 | 2020 | 34 | |
| 19 | 2023 | 29 | |
| 20 | 2022 | 27 |
About Adel Ammar
Adel Ammar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Aerospace Engineering and Radiology, Nuclear Medicine and Imaging, having authored 52 papers that have together received 1.5k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (12 papers), Advanced Neural Network Applications (11 papers), Network Security and Intrusion Detection (7 papers), Anomaly Detection Techniques and Applications (6 papers), Robotics and Sensor-Based Localization (6 papers), Internet Traffic Analysis and Secure E-voting (5 papers), COVID-19 diagnosis using AI (5 papers) and Video Surveillance and Tracking Methods (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (683 citations), Health Informatics (23 citations), Neurology (107 citations), Aerospace Engineering (327 citations) and Artificial Intelligence (370 citations). Adel Ammar has collaborated with scholars based in Saudi Arabia, Tunisia and Portugal. Frequent co-authors include Anis Koubâa, Bilel Benjdira, Hachémi Bennaceur, I. Châari, Wadii Boulila, Maram Alajlan, Ahmad Taher Azar, Tarek Abbes, Azza Allouch and Nada Ali Mohamed. Their work appears in journals such as Electronics, Applied Sciences, Remote Sensing, Sensors and Engineering Applications of Artificial Intelligence.
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.