Arafat Al-Dhaqm

1.8k total citations · 1 hit paper
55 papers, 1.0k citations indexed

About

Arafat Al-Dhaqm is a scholar working on Information Systems, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Arafat Al-Dhaqm has authored 55 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Information Systems, 20 papers in Signal Processing and 10 papers in Artificial Intelligence. Recurrent topics in Arafat Al-Dhaqm's work include Digital and Cyber Forensics (28 papers), Advanced Malware Detection Techniques (19 papers) and Software Engineering Research (5 papers). Arafat Al-Dhaqm is often cited by papers focused on Digital and Cyber Forensics (28 papers), Advanced Malware Detection Techniques (19 papers) and Software Engineering Research (5 papers). Arafat Al-Dhaqm collaborates with scholars based in Malaysia, Saudi Arabia and Yemen. Arafat Al-Dhaqm's co-authors include Shukor Abd Razak, Victor R. Kebande, Richard A. Ikuesan, Siti Hajar Othman, Wael M. S. Yafooz, Abdulalem Ali, Taiseer Abdalla Elfadil Eisa, Kamran Siddique, Kim‐Kwang Raymond Choo and Md Asri Ngadi and has published in prestigious journals such as PLoS ONE, IEEE Access and Sensors.

In The Last Decade

Arafat Al-Dhaqm

51 papers receiving 994 citations

Hit Papers

Financial Fraud Detection Based on Machine Learning: A Sy... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arafat Al-Dhaqm Malaysia 21 638 320 320 167 149 55 1.0k
Mansoor Ahmed Pakistan 18 384 0.6× 102 0.3× 295 0.9× 334 2.0× 145 1.0× 82 1.1k
Lu Yu United States 18 472 0.7× 104 0.3× 370 1.2× 242 1.4× 95 0.6× 64 980
Toqeer Ali Syed Saudi Arabia 16 453 0.7× 102 0.3× 170 0.5× 249 1.5× 104 0.7× 53 795
Akashdeep Bhardwaj India 20 377 0.6× 228 0.7× 245 0.8× 342 2.0× 97 0.7× 85 930
Ayed Alwadain Saudi Arabia 15 162 0.3× 116 0.4× 231 0.7× 251 1.5× 94 0.6× 64 812
Huiju Wang China 12 773 1.2× 59 0.2× 217 0.7× 470 2.8× 78 0.5× 25 1.1k
Daniele Miorandi Italy 15 265 0.4× 99 0.3× 206 0.6× 360 2.2× 68 0.5× 32 722
Ahmed Emam Saudi Arabia 14 170 0.3× 284 0.9× 614 1.9× 503 3.0× 35 0.2× 41 1.0k
Nazaraf Shah United Kingdom 15 358 0.6× 38 0.1× 247 0.8× 268 1.6× 57 0.4× 64 798
Carles Mateu Spain 16 287 0.4× 688 2.1× 443 1.4× 600 3.6× 66 0.4× 52 1.2k

Countries citing papers authored by Arafat Al-Dhaqm

Since Specialization
Citations

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

Fields of papers citing papers by Arafat Al-Dhaqm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arafat Al-Dhaqm. 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 Arafat Al-Dhaqm. The network helps show where Arafat Al-Dhaqm may publish in the future.

Co-authorship network of co-authors of Arafat Al-Dhaqm

This figure shows the co-authorship network connecting the top 25 collaborators of Arafat Al-Dhaqm. A scholar is included among the top collaborators of Arafat Al-Dhaqm 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 Arafat Al-Dhaqm. Arafat Al-Dhaqm 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.
Alsaeedi, Abdullah, et al.. (2024). Combinatorial Analysis of Deep Learning and Machine Learning Video Captioning Studies: A Systematic Literature Review. IEEE Access. 12. 35048–35080. 3 indexed citations
2.
Ismail, Nor Azman, et al.. (2024). A Systematic Literature Review of Deep Learning Approaches for Sketch-Based Image Retrieval: Datasets, Metrics, and Future Directions. IEEE Access. 12. 14847–14869. 5 indexed citations
3.
Wahab, Nur Haliza Abdul, et al.. (2024). Recent Advances in Sharding Techniques for Scalable Blockchain Networks: A Review. IEEE Access. 13. 21335–21366. 3 indexed citations
4.
Alotaibi, Fahad, Arafat Al-Dhaqm, Wael M. S. Yafooz, & Yasser D. Al‐Otaibi. (2023). A Novel Administration Model for Managing and Organising the Heterogeneous Information Security Policy Field. Applied Sciences. 13(17). 9703–9703. 5 indexed citations
5.
Alotaibi, Fahad, Arafat Al-Dhaqm, & Yasser D. Al‐Otaibi. (2023). A Conceptual Digital Forensic Investigation Model Applicable to the Drone Forensics Field. Engineering Technology & Applied Science Research. 13(5). 11608–11615. 12 indexed citations
6.
Ismail, Nor Azman, et al.. (2022). A Novel Approach for Classifying Brain Tumours Combining a SqueezeNet Model with SVM and Fine-Tuning. Electronics. 12(1). 149–149. 28 indexed citations
7.
Kwek, Lee Chung, Shing Chyi Chua, Arafat Al-Dhaqm, et al.. (2022). Review of Learning-Based Robotic Manipulation in Cluttered Environments. Sensors. 22(20). 7938–7938. 20 indexed citations
8.
Alotaibi, Fahad, Arafat Al-Dhaqm, Yasser D. Al‐Otaibi, & AbdulRahman A. Alsewari. (2022). A Comprehensive Collection and Analysis Model for the Drone Forensics Field. Sensors. 22(17). 6486–6486. 16 indexed citations
9.
Alhussan, Amel Ali, Arafat Al-Dhaqm, Wael M. S. Yafooz, et al.. (2022). Towards Development of a High Abstract Model for Drone Forensic Domain. Electronics. 11(8). 1168–1168. 16 indexed citations
10.
Ghabban, Fahad, et al.. (2021). Digital Forensics Domain and Metamodeling Development Approaches. 67–71. 10 indexed citations
11.
Altowayti, Wahid Ali Hamood, Norzila Othman, Husnul Azan Tajarudin, et al.. (2021). Evaluating the Pressure and Loss Behavior in Water Pipes Using Smart Mathematical Modelling. Water. 13(24). 3500–3500. 9 indexed citations
12.
Kwek, Lee Chung, Shing Chyi Chua, Abdulaziz Aljaloud, et al.. (2021). Deep Reinforcement Learning-Based Robotic Grasping in Clutter and Occlusion. Sustainability. 13(24). 13686–13686. 9 indexed citations
13.
Ghabban, Fahad, et al.. (2021). CIPM: Common Identification Process Model for Database Forensics Field. 72–77. 6 indexed citations
14.
Ghabban, Fahad, et al.. (2021). Comparative Analysis of Network Forensic Tools and Network Forensics Processes. 78–83. 19 indexed citations
15.
Razak, Shukor Abd, et al.. (2021). Multi-Sink Load-Balancing Mechanism for Wireless Sensor Networks. 140–145. 6 indexed citations
16.
Al-Dhaqm, Arafat, Shukor Abd Razak, Richard A. Ikuesan, Victor R. Kebande, & Siti Hajar Othman. (2021). Face Validation of Database Forensic Investigation Metamodel. Infrastructures. 6(2). 13–13. 27 indexed citations
17.
Al-Dhaqm, Arafat, Shukor Abd Razak, Kim‐Kwang Raymond Choo, et al.. (2020). Categorization and Organization of Database Forensic Investigation Processes. IEEE Access. 8. 112846–112858. 44 indexed citations
18.
Razak, Shukor Abd, et al.. (2020). Data Anonymization Using Pseudonym System to Preserve Data Privacy. IEEE Access. 8. 43256–43264. 34 indexed citations
19.
Al-Dhaqm, Arafat, Shukor Abd Razak, Richard A. Ikuesan, Victor R. Kebande, & Kamran Siddique. (2020). A Review of Mobile Forensic Investigation Process Models. IEEE Access. 8. 173359–173375. 46 indexed citations
20.
Ngadi, Md Asri & Arafat Al-Dhaqm. (2012). Detection and Prevention of Malicious Activities on RDBMS Relational Database Management Systems. 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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