Khaled Ammar
Impact in
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- Graph Theory and Algorithms
- Signal Processing top 10%
- Data Management and Algorithms
Papers in
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- Energy Efficient Wireless Sensor Networks 4
- Advanced Database Systems and Queries 3
- Distributed Sensor Networks and Detection Algorithms 3
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- Graph Theory and Algorithms 7
- Co-authors
- M. TAMER ÖZSU (3 shared papers)Tianqi Jin (1 shared paper)Khuzaima Daudjee (1 shared paper)Frank McSherry (2 shared papers)Manas Joglekar (2 shared papers)Semih Salihoğlu (3 shared papers)Mário A. Nascimento (4 shared papers)Essam Mansour (2 shared papers)
- Journals
- Proceedings of the VLDB Endowment (6 papers)Lecture notes in computer science (2 papers)Integration (1 paper)Zagazig University Medical Journal (1 paper)
- Partner nations
- CanadaAustriaSwitzerland
In The Last Decade
Khaled Ammar
16 papers receiving 281 citations
Peers
Comparison fields: 5 of 29
- Computer Vision and Pattern Recognition 229
- Signal Processing 65
- Information Systems 134
- Computer Networks and Communications 116
- Artificial Intelligence 140
Countries citing papers authored by Khaled Ammar
This map shows the geographic impact of Khaled 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 Khaled Ammar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khaled Ammar more than expected).
Fields of papers citing papers by Khaled Ammar
This network shows the impact of papers produced by Khaled 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 Khaled Ammar. The network helps show where Khaled Ammar may publish in the future.
Co-authors
The 19 scholars most cited alongside Khaled 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
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 145 | |
| 2 | 2018 | 51 | |
| 3 | 2015 | 20 | |
| 4 | 2018 | 15 | |
| 5 | 2021 | 10 | |
| 6 | 2014 | 9 | |
| 7 | 2011 | 7 | |
| 8 | 2016 | 6 | |
| 9 | 2016 | 6 | |
| 10 | 2015 | 4 | |
| 11 | 2013 | 3 | |
| 12 | 2011 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2019 | 2 | |
| 15 | 2022 | 1 | |
| 16 | 2015 | 1 | |
| 17 | 1988 | 0 |
About Khaled Ammar
Khaled Ammar is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence and Information Systems, having authored 17 papers that have together received 286 indexed citations. Recurring topics across this work include Graph Theory and Algorithms (7 papers), Data Management and Algorithms (7 papers), Energy Efficient Wireless Sensor Networks (4 papers), Advanced Graph Neural Networks (4 papers), Advanced Database Systems and Queries (3 papers), Distributed Sensor Networks and Detection Algorithms (3 papers), Cloud Computing and Resource Management (2 papers) and Semantic Web and Ontologies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (229 citations), Signal Processing (65 citations), Information Systems (134 citations), Computer Networks and Communications (116 citations) and Artificial Intelligence (140 citations). Khaled Ammar has collaborated with scholars based in Canada, Austria and Switzerland. Frequent co-authors include M. TAMER ÖZSU, Tianqi Jin, Khuzaima Daudjee, Frank McSherry, Manas Joglekar, Semih Salihoğlu, Mário A. Nascimento, Essam Mansour, Ashraf Aboulnaga and Jimmy Lin. Their work appears in journals such as Proceedings of the VLDB Endowment, Lecture notes in computer science, Integration and Zagazig University Medical Journal.
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.