Reda Alhajj
- Artificial Intelligence top 0.5%
- Information Systems top 0.5%
- Computer Networks and Communications top 1%
- Molecular Biology top 10%
- Computer Vision and Pattern Recognition top 1%
- Co-authors
- Jon RokneMehmet KayaTansel ÖzyerKashfia SailunazKen BarkerTamer N. JaradaMohammed AlshalalfaKeivan Kianmehr
- Topics
- Advanced Database Systems and Queries (61 papers)Data Mining Algorithms and Applications (52 papers)Data Management and Algorithms (49 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE
In The Last Decade
Reda Alhajj
372 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Artificial Intelligence 2.1k
- Information Systems 1.2k
- Computer Networks and Communications 995
- Molecular Biology 737
- Computer Vision and Pattern Recognition 704
Countries citing papers authored by Reda Alhajj
This map shows the geographic impact of Reda Alhajj'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 Reda Alhajj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reda Alhajj more than expected).
Fields of papers citing papers by Reda Alhajj
This network shows the impact of papers produced by Reda Alhajj. 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 Reda Alhajj. The network helps show where Reda Alhajj may publish in the future.
Co-authorship network of co-authors of Reda Alhajj
This figure shows the co-authorship network connecting the top 25 collaborators of Reda Alhajj. A scholar is included among the top collaborators of Reda Alhajj based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Reda Alhajj. Reda Alhajj is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 14 | |
| 4 | 1 | |
| 5 | A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19)breakdown → | 218 |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 9 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | Employing batch reinforcement learning to control gene regulation without explicitly constructing gene regulatory networks | 8 |
| 12 | From Sociology to Computing in Social Networks: Theory, Foundations and Applications | 10 |
| 13 | 4 | |
| 14 | Discovering Accurate and Interesting Classification Rules Using Genetic Algorithm. | 11 |
| 15 | 9 | |
| 16 | Classification by Multi-Perspective Representation Method. | 2 |
| 17 | 2 | |
| 18 | A boosting genetic fuzzy classifier for intrusion detection using data mining techniques for rule pre-screening | 2 |
| 19 | Attraction - A Global Affinity Measure for Database Vertical Partitioning. | 8 |
| 20 | 0 |
About Reda Alhajj
Reda Alhajj is a scholar working on Signal Processing, Information Systems and Artificial Intelligence, having authored 404 papers that have together received 5.1k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (61 papers), Data Mining Algorithms and Applications (52 papers) and Data Management and Algorithms (49 papers). The work is most often cited by research in Artificial Intelligence (2.1k citations), Signal Processing (641 citations) and Information Systems (1.2k citations). Reda Alhajj has collaborated with scholars based in Canada, Türkiye and Lebanon. Frequent co-authors include Jon Rokne, Mehmet Kaya, Tansel Özyer, Kashfia Sailunaz, Ken Barker, Tamer N. Jarada, Mohammed Alshalalfa, Keivan Kianmehr, Faruk Polat and Rashedur M. Rahman. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.
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.