Reda Alhajj

9.4k total citations · 2 hit papers
404 papers, 5.1k citations indexed

About

Reda Alhajj is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Reda Alhajj has authored 404 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 180 papers in Artificial Intelligence, 130 papers in Information Systems and 98 papers in Computer Networks and Communications. Recurrent topics in Reda Alhajj's work include Advanced Database Systems and Queries (61 papers), Data Mining Algorithms and Applications (52 papers) and Data Management and Algorithms (49 papers). Reda Alhajj is often cited by papers focused on Advanced Database Systems and Queries (61 papers), Data Mining Algorithms and Applications (52 papers) and Data Management and Algorithms (49 papers). Reda Alhajj collaborates with scholars based in Canada, Türkiye and Lebanon. Reda Alhajj's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Reda Alhajj

372 papers receiving 4.8k citations

Hit Papers

Emotion and sentiment analysis from Twitter text 2019 2026 2021 2023 2019 2021 50 100 150 200 250

Peers

Reda Alhajj
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
Replace Pádraig Cunningham with:
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Peilin Zhao China
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David W. Aha United States
Pádraig Cunningham Ireland View profile →
Citations per field, relative to Reda Alhajj
Reda Alhajj · 1×
Citations per year, relative to Reda Alhajj
Reda Alhajj · 1×

Countries citing papers authored by Reda Alhajj

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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.

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