Khaled Ammar
Impact in
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- Graph Theory and Algorithms
- Information Systems top 5%
- Cloud Computing and Resource Management
Papers in
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- Graph Theory and Algorithms 6
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- Data Management and Algorithms 6
- Co-authors
- Tianqi Jin (1 shared paper)M. TAMER ÖZSU (2 shared papers)Khuzaima Daudjee (1 shared paper)Semih Salihoğlu (3 shared papers)Frank McSherry (2 shared papers)Manas Joglekar (2 shared papers)Essam Mansour (2 shared papers)Mário A. Nascimento (3 shared papers)
- Journals
- Proceedings of the VLDB Endowment (6 papers)Integration (1 paper)Zagazig University Medical Journal (1 paper)
- Partner nations
- CanadaSwitzerlandGermany
In The Last Decade
Khaled Ammar
14 papers receiving 232 citations
Peers
Comparison fields: 5 of 26
- Computer Vision and Pattern Recognition 194
- Information Systems 117
- Signal Processing 55
- Computer Networks and Communications 97
- Artificial Intelligence 113
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 18 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 | 123 | |
| 2 | 2018 | 47 | |
| 3 | 2015 | 17 | |
| 4 | 2018 | 15 | |
| 5 | 2021 | 7 | |
| 6 | 2016 | 6 | |
| 7 | 2016 | 5 | |
| 8 | 2015 | 4 | |
| 9 | 2013 | 3 | |
| 10 | 2011 | 3 | |
| 11 | 2024 | 2 | |
| 12 | 2019 | 2 | |
| 13 | 2022 | 1 | |
| 14 | 2015 | 1 | |
| 15 | 1988 | 0 |
About Khaled Ammar
Khaled Ammar is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Computer Networks and Communications and Information Systems, having authored 15 papers that have together received 236 indexed citations. Recurring topics across this work include Data Management and Algorithms (6 papers), Graph Theory and Algorithms (6 papers), Advanced Graph Neural Networks (4 papers), Energy Efficient Wireless Sensor Networks (3 papers), Semantic Web and Ontologies (2 papers), Cloud Computing and Resource Management (2 papers), Distributed Sensor Networks and Detection Algorithms (2 papers) and Data Quality and Management (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (194 citations), Information Systems (117 citations), Signal Processing (55 citations), Computer Networks and Communications (97 citations) and Artificial Intelligence (113 citations). Khaled Ammar has collaborated with scholars based in Canada, Switzerland and Germany. Frequent co-authors include Tianqi Jin, M. TAMER ÖZSU, Khuzaima Daudjee, Semih Salihoğlu, Frank McSherry, Manas Joglekar, Essam Mansour, Mário A. Nascimento, Mohamed Hosny and Michael Terry. Their work appears in journals such as Proceedings of the VLDB Endowment, 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.