Razan Abdulhammed

645 total citations · 1 hit paper
10 papers, 451 citations indexed

About

Razan Abdulhammed is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Razan Abdulhammed has authored 10 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 6 papers in Artificial Intelligence and 2 papers in Signal Processing. Recurrent topics in Razan Abdulhammed's work include Network Security and Intrusion Detection (7 papers), Internet Traffic Analysis and Secure E-voting (4 papers) and Anomaly Detection Techniques and Applications (4 papers). Razan Abdulhammed is often cited by papers focused on Network Security and Intrusion Detection (7 papers), Internet Traffic Analysis and Secure E-voting (4 papers) and Anomaly Detection Techniques and Applications (4 papers). Razan Abdulhammed collaborates with scholars based in United States. Razan Abdulhammed's co-authors include Miad Faezipour, Abdelshakour Abuzneid, Hassan Musafer, Ali Alessa and Khaled Elleithy and has published in prestigious journals such as Electronics, IEEE Sensors Letters and University of Bridgeport ScholarWorks (University of Bridgeport).

In The Last Decade

Razan Abdulhammed

10 papers receiving 421 citations

Hit Papers

Features Dimensionality Reduction Approaches for Machine ... 2019 2026 2021 2023 2019 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Features Dimensionality Reduction Approaches for Machine Learning Based Network Intrusion Detection
    2019 230 citations Razan Abdulhammed, Hassan Musafer et al. Electronics profile →

Peers

Razan Abdulhammed
Majjed Al-Qatf China
Gözde Karataş Türkiye
Mohamed Idhammad Morocco
Hamid Bostani Iran
Hassan Musafer United States
Mustapha Belouch Morocco
Gilberto Fernandes Brazil
Esraa Saleh Alomari Iraq
Tongtong Su China
Jungsuk Song South Korea
Majjed Al-Qatf China
Razan Abdulhammed
Citations per year, relative to Razan Abdulhammed Razan Abdulhammed (= 1×) peers Majjed Al-Qatf

Countries citing papers authored by Razan Abdulhammed

Since Specialization
Citations

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

Fields of papers citing papers by Razan Abdulhammed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Razan Abdulhammed

This figure shows the co-authorship network connecting the top 25 collaborators of Razan Abdulhammed. A scholar is included among the top collaborators of Razan Abdulhammed 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 Razan Abdulhammed. Razan Abdulhammed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Abdulhammed, Razan, Hassan Musafer, Ali Alessa, Miad Faezipour, & Abdelshakour Abuzneid. (2019). Features Dimensionality Reduction Approaches for Machine Learning Based Network Intrusion Detection. Electronics. 8(3). 322–322. 230 indexed citations breakdown →
2.
Abdulhammed, Razan, Miad Faezipour, Hassan Musafer, & Abdelshakour Abuzneid. (2019). Efficient Network Intrusion Detection Using PCA-Based Dimensionality Reduction of Features. 1–6. 32 indexed citations
3.
Abdulhammed, Razan, Hassan Musafer, Ali Alessa, Miad Faezipour, & Abdelshakour Abuzneid. (2018). Machine Learning Approaches for Flow-Based Intrusion Detection Systems. University of Bridgeport ScholarWorks (University of Bridgeport). 2 indexed citations
4.
Abdulhammed, Razan, Miad Faezipour, Abdelshakour Abuzneid, & Ali Alessa. (2018). Effective Features Selection and Machine Learning Classifiers for Improved Wireless Intrusion Detection. 1–6. 19 indexed citations
5.
Abdulhammed, Razan, Miad Faezipour, Abdelshakour Abuzneid, & Ali Alessa. (2018). Enhancing Wireless Intrusion Detection Using Machine Learning Classification with Reduced Attribute Sets. 524–529. 9 indexed citations
6.
Abdulhammed, Razan, et al.. (2018). Deep and Machine Learning Approaches for Anomaly-Based Intrusion Detection of Imbalanced Network Traffic. IEEE Sensors Letters. 3(1). 1–4. 145 indexed citations
7.
Abdulhammed, Razan, et al.. (2017). Blind Digital Signature schemes with four particle entanglement states. 1–6. 1 indexed citations
8.
Abdulhammed, Razan, Miad Faezipour, & Khaled Elleithy. (2017). Malicious behavior monitoring of embedded medical devices. 3. 1–6. 2 indexed citations
9.
Abdulhammed, Razan, Miad Faezipour, & Khaled Elleithy. (2016). Network intrusion detection using hardware techniques: A review. 10 indexed citations
10.
Musafer, Hassan, et al.. (2015). A Dynamic Clustering Algorithm for Object Tracking and Localization in WSN. University of Bridgeport ScholarWorks (University of Bridgeport). 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Majjed Al-Qatf Breakdown of academic impact, for papers by Gözde Karataş Breakdown of academic impact, for papers by Mohamed Idhammad Breakdown of academic impact, for papers by Hamid Bostani Breakdown of academic impact, for papers by Hassan Musafer Breakdown of academic impact, for papers by Mustapha Belouch Breakdown of academic impact, for papers by Gilberto Fernandes Breakdown of academic impact, for papers by Esraa Saleh Alomari Breakdown of academic impact, for papers by Tongtong Su Breakdown of academic impact, for papers by Jungsuk Song
Rankless by CCL
2026