Raneem Qaddoura

1.2k total citations
40 papers, 766 citations indexed

About

Raneem Qaddoura is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Raneem Qaddoura has authored 40 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 9 papers in Signal Processing and 8 papers in Computer Networks and Communications. Recurrent topics in Raneem Qaddoura's work include Metaheuristic Optimization Algorithms Research (6 papers), Sentiment Analysis and Opinion Mining (5 papers) and Network Security and Intrusion Detection (5 papers). Raneem Qaddoura is often cited by papers focused on Metaheuristic Optimization Algorithms Research (6 papers), Sentiment Analysis and Opinion Mining (5 papers) and Network Security and Intrusion Detection (5 papers). Raneem Qaddoura collaborates with scholars based in Jordan, Spain and Saudi Arabia. Raneem Qaddoura's co-authors include Hossam Faris, Ala’ M. Al-Zoubi, Iman Almomani, Ibrahim Aljarah, Maria Habib, Ruba Obiedat, Osama Harfoushi, Maram Bani Younes, Mohammad A. M. Abushariah and Bilal Abu-Salih and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Raneem Qaddoura

36 papers receiving 735 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Raneem Qaddoura Jordan 16 441 205 153 143 59 40 766
Rafael Falcón Canada 16 451 1.0× 206 1.0× 96 0.6× 144 1.0× 56 0.9× 57 885
Muhammad Aamir Malaysia 17 408 0.9× 292 1.4× 157 1.0× 146 1.0× 117 2.0× 61 989
Ghazi Al‐Naymat Jordan 16 480 1.1× 287 1.4× 220 1.4× 281 2.0× 46 0.8× 76 898
Norshakirah Aziz Malaysia 12 311 0.7× 196 1.0× 119 0.8× 130 0.9× 52 0.9× 42 788
Adamu Abubakar Malaysia 14 246 0.6× 154 0.8× 78 0.5× 183 1.3× 89 1.5× 99 792
Mohammad A. Hassonah Jordan 11 635 1.4× 193 0.9× 88 0.6× 219 1.5× 87 1.5× 12 978
Honghui Xu United States 11 343 0.8× 111 0.5× 89 0.6× 80 0.6× 83 1.4× 22 808
Suprio Ray Canada 17 345 0.8× 401 2.0× 338 2.2× 241 1.7× 102 1.7× 78 829
Ranjit Panigrahi India 12 336 0.8× 223 1.1× 105 0.7× 83 0.6× 65 1.1× 27 732
Sikha Bagui United States 16 509 1.2× 399 1.9× 207 1.4× 280 2.0× 32 0.5× 97 913

Countries citing papers authored by Raneem Qaddoura

Since Specialization
Citations

This map shows the geographic impact of Raneem Qaddoura'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 Raneem Qaddoura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raneem Qaddoura more than expected).

Fields of papers citing papers by Raneem Qaddoura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raneem Qaddoura. 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 Raneem Qaddoura. The network helps show where Raneem Qaddoura may publish in the future.

Co-authorship network of co-authors of Raneem Qaddoura

This figure shows the co-authorship network connecting the top 25 collaborators of Raneem Qaddoura. A scholar is included among the top collaborators of Raneem Qaddoura 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 Raneem Qaddoura. Raneem Qaddoura 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
1.
Al-Zoubi, Ala’ M., Antonio M. Mora, Hossam Faris, & Raneem Qaddoura. (2025). A hybrid TwinSVM-HHO model for multilingual spam review detection using sentiment features and pre-trained embeddings. Expert Systems with Applications. 287. 128160–128160. 1 indexed citations
2.
Al-Zoubi, Ala’ M., et al.. (2025). A harris hawks optimized SVM framework for securing IoT networks through attack detection and feature analysis. SHILAP Revista de lepidopterología. 5(1).
3.
Qaddoura, Raneem & Hossam Faris. (2024). Evolving random weight neural networks based on oversampled-segmented examples for IoT intrusion detection. The Journal of Supercomputing. 80(11). 16393–16427. 1 indexed citations
4.
Qaddoura, Raneem, et al.. (2024). Investigating the Performance of a Novel Modified Binary Black Hole Optimization Algorithm for Enhancing Feature Selection. Applied Sciences. 14(12). 5207–5207. 2 indexed citations
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Zheng, Rong, Abdelazim G. Hussien, Raneem Qaddoura, et al.. (2023). A multi-strategy enhanced African vultures optimization algorithm for global optimization problems. Journal of Computational Design and Engineering. 10(1). 329–356. 36 indexed citations
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Abu-Salih, Bilal, et al.. (2023). The development of a road network flood risk detection model using optimised ensemble learning. Engineering Applications of Artificial Intelligence. 122. 106081–106081. 18 indexed citations
10.
Younes, Maram Bani, et al.. (2023). An Object Classification Approach for Autonomous Vehicles Using Machine Learning Techniques. World Electric Vehicle Journal. 14(2). 41–41. 15 indexed citations
11.
Qaddoura, Raneem, et al.. (2023). Data Analysis and Classification of the Complaint Case Type for Orange Jordan Telecom Company. 28. 1–6. 3 indexed citations
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Hashim, Fatma A., Reham R. Mostafa, Ruba Abu Khurma, Raneem Qaddoura, & Pedro Á. Castillo. (2023). A new approach for solving global optimization and engineering problems based on modified sea horse optimizer. Journal of Computational Design and Engineering. 11(1). 73–98. 20 indexed citations
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Almomani, Iman, Raneem Qaddoura, Maria Habib, et al.. (2021). Android Ransomware Detection Based on a Hybrid Evolutionary Approach in the Context of Highly Imbalanced Data. IEEE Access. 9. 57674–57691. 58 indexed citations
16.
Qaddoura, Raneem, Ala’ M. Al-Zoubi, Iman Almomani, & Hossam Faris. (2021). A Multi-Stage Classification Approach for IoT Intrusion Detection Based on Clustering with Oversampling. Applied Sciences. 11(7). 3022–3022. 68 indexed citations
17.
Qaddoura, Raneem, Ala’ M. Al-Zoubi, Hossam Faris, & Iman Almomani. (2021). A Multi-Layer Classification Approach for Intrusion Detection in IoT Networks Based on Deep Learning. Sensors. 21(9). 2987–2987. 74 indexed citations
18.
Obiedat, Ruba, et al.. (2021). An Evolutionary-Based Sentiment Analysis Approach for Enhancing Government Decisions during COVID-19 Pandemic: The Case of Jordan. Applied Sciences. 11(19). 9080–9080. 23 indexed citations
19.
Qaddoura, Raneem, Maram Bani Younes, & Azzedine Boukerche. (2021). Predicting Traffic Characteristics of Real Road Scenarios in Jordan and Gulf Region. 115–121. 8 indexed citations
20.
Qaddoura, Raneem, Hossam Faris, Ibrahim Aljarah, & Pedro Á. Castillo. (2021). EvoCluster: An Open-Source Nature-Inspired Optimization Clustering Framework. SN Computer Science. 2(3). 8 indexed citations

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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