Hamza Aldabbas

1.2k total citations
40 papers, 687 citations indexed

About

Hamza Aldabbas is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Hamza Aldabbas has authored 40 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 15 papers in Artificial Intelligence and 10 papers in Information Systems. Recurrent topics in Hamza Aldabbas's work include Network Security and Intrusion Detection (9 papers), Software-Defined Networks and 5G (5 papers) and Vehicular Ad Hoc Networks (VANETs) (4 papers). Hamza Aldabbas is often cited by papers focused on Network Security and Intrusion Detection (9 papers), Software-Defined Networks and 5G (5 papers) and Vehicular Ad Hoc Networks (VANETs) (4 papers). Hamza Aldabbas collaborates with scholars based in Jordan, Pakistan and Saudi Arabia. Hamza Aldabbas's co-authors include Rashid Amin, Bader Alouffi, Shehzad Khalid, Saqib Saeed, Muhammad Munwar Iqbal, Yasir Saleem, Hamad Naeem, Muhammad Rashid Naeem, Deepika Koundal and Muhammad Mehmood and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and JOM.

In The Last Decade

Hamza Aldabbas

37 papers receiving 647 citations

Peers

Hamza Aldabbas
Emad-ul-Haq Qazi Saudi Arabia
Hamza Aldabbas
Citations per year, relative to Hamza Aldabbas Hamza Aldabbas (= 1×) peers Emad-ul-Haq Qazi

Countries citing papers authored by Hamza Aldabbas

Since Specialization
Citations

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

Fields of papers citing papers by Hamza Aldabbas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamza Aldabbas

This figure shows the co-authorship network connecting the top 25 collaborators of Hamza Aldabbas. A scholar is included among the top collaborators of Hamza Aldabbas 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 Hamza Aldabbas. Hamza Aldabbas 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.
Amin, Rashid, et al.. (2024). A Novel Approach for Sentiment Analysis of a Low Resource Language Using Deep Learning Models. ACM Transactions on Asian and Low-Resource Language Information Processing. 5 indexed citations
2.
Amin, Rashid, et al.. (2024). Intrusion detection systems for software-defined networks: a comprehensive study on machine learning-based techniques. Cluster Computing. 27(7). 9635–9661. 11 indexed citations
3.
Atwan, Jaffar, et al.. (2024). Ensemble of Deep Features for Breast Cancer Histopathological Image Classification. The Computer Journal. 67(6). 2126–2136. 3 indexed citations
4.
Aldabbas, Hamza, et al.. (2024). Utilizing a Hybrid Cat-Swarm Optimization Algorithm for Seamless Vertical Handoff in Vanet. Wireless Personal Communications. 137(1). 495–521. 2 indexed citations
5.
Aldabbas, Hamza, et al.. (2024). An Efficient IoT-based Prediction and Diagnosis of Cardiovascular Diseases for Healthcare Using Machine Learning Models. International Journal of Computing and Digital Systems. 17(1). 1–12.
6.
Mehmood, Muhammad, et al.. (2023). Privilege Escalation Attack Detection and Mitigation in Cloud Using Machine Learning. IEEE Access. 11. 46561–46576. 23 indexed citations
7.
Amin, Rashid, et al.. (2023). Skin Cancer Malignancy Classification and Segmentation Using Machine Learning Algorithms. JOM. 75(8). 3121–3135. 5 indexed citations
8.
Alweshah, Mohammed, et al.. (2022). Vehicle routing problems based on Harris Hawks optimization. Journal Of Big Data. 9(1). 15 indexed citations
9.
Amin, Rashid, et al.. (2022). Cloud Security Threats and Solutions: A Survey. Wireless Personal Communications. 128(1). 387–413. 47 indexed citations
10.
Aftab, Muhammad Umar, Rashid Amin, Deepika Koundal, et al.. (2022). Classification of COVID‐19 and Influenza Patients Using Deep Learning. Contrast Media & Molecular Imaging. 2022(1). 8549707–8549707. 11 indexed citations
11.
Amin, Rashid, et al.. (2022). A machine learning approach for non-invasive fall detection using Kinect. Multimedia Tools and Applications. 81(11). 15491–15519. 17 indexed citations
12.
Amin, Rashid, et al.. (2022). Cloud-based email phishing attack using machine and deep learning algorithm. Complex & Intelligent Systems. 9(3). 3043–3070. 57 indexed citations
13.
Amin, Rashid, et al.. (2022). Machine Learning Techniques for Spam Detection in Email and IoT Platforms: Analysis and Research Challenges. Security and Communication Networks. 2022. 1–19. 78 indexed citations
14.
Amin, Rashid, et al.. (2022). Lightweight Challenge-Response Authentication in SDN-Based UAVs Using Elliptic Curve Cryptography. Electronics. 11(7). 1026–1026. 21 indexed citations
15.
Aldabbas, Hamza, Dheeb Albashish, Khalaf Khatatneh, & Rashid Amin. (2022). An Architecture of IoT-Aware Healthcare Smart System by Leveraging Machine Learning. The International Arab Journal of Information Technology. 19(2). 17 indexed citations
16.
Ghamdi, Mohammed A. Al, et al.. (2021). Next-generation UWB antennas gadgets for human health care using SAR. EURASIP Journal on Wireless Communications and Networking. 2021(1). 33–33. 11 indexed citations
17.
Aldabbas, Hamza, et al.. (2020). Google Play Content Scraping and Knowledge Engineering using Natural Language Processing Techniques with the Analysis of User Reviews. SHILAP Revista de lepidopterología. 30(1). 192–208. 12 indexed citations
18.
Ramzan, Muhammad, Shahid Mahmood Awan, Hamza Aldabbas, et al.. (2019). Internet of medical things for smart D3S to enable road safety. International Journal of Distributed Sensor Networks. 15(8). 812339256–812339256. 4 indexed citations
19.
Mohammad, Adel Hamdan, et al.. (2014). Privacy in Cloud System. International Journal of Computer Applications. 93(2). 1–4. 2 indexed citations
20.
Aldabbas, Hamza. (2012). Data Confidentiality in Mobile Ad hoc Networks. International Journal of Wireless & Mobile Networks. 4(1). 225–236. 20 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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