Majed Aborokbah

740 total citations
33 papers, 478 citations indexed

About

Majed Aborokbah is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Majed Aborokbah has authored 33 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 9 papers in Computer Networks and Communications and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Majed Aborokbah's work include Network Security and Intrusion Detection (7 papers), Artificial Intelligence in Healthcare (4 papers) and AI in cancer detection (4 papers). Majed Aborokbah is often cited by papers focused on Network Security and Intrusion Detection (7 papers), Artificial Intelligence in Healthcare (4 papers) and AI in cancer detection (4 papers). Majed Aborokbah collaborates with scholars based in Saudi Arabia, India and United States. Majed Aborokbah's co-authors include Saad Almutairi, S. Manimurugan, Subramaniam Ganesan, Naveen Chilamkurti, Rizwan Patan, C. Narmatha, Oluwarotimi Williams Samuel, Arun Kumar Sangaiah, Tareq Alhmiedat and Byung‐Gyu Kim and has published in prestigious journals such as PLoS ONE, IEEE Access and Sensors.

In The Last Decade

Majed Aborokbah

25 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Majed Aborokbah Saudi Arabia	8	223	180	99	95	72	33	478
Walaa N. Ismail Saudi Arabia	13	140 0.6×	148 0.8×	78 0.8×	100 1.1×	83 1.2×	28	446
Emad-ul-Haq Qazi Saudi Arabia	11	244 1.1×	256 1.4×	114 1.2×	122 1.3×	49 0.7×	28	631
T. Jayasankar India	13	176 0.8×	121 0.7×	47 0.5×	90 0.9×	77 1.1×	56	525
C. Narmatha Saudi Arabia	11	132 0.6×	194 1.1×	58 0.6×	64 0.7×	163 2.3×	35	506
Syed Atif Moqurrab Pakistan	13	164 0.7×	236 1.3×	58 0.6×	149 1.6×	41 0.6×	34	491
Khaled Mohamad Almustafa Saudi Arabia	14	184 0.8×	198 1.1×	42 0.4×	77 0.8×	78 1.1×	56	660
Amit Kishor India	10	252 1.1×	151 0.8×	28 0.3×	157 1.7×	79 1.1×	16	600
Nizar Alsharif Saudi Arabia	12	251 1.1×	166 0.9×	54 0.5×	55 0.6×	35 0.5×	23	594
Makhlouf Derdour Algeria	10	351 1.6×	278 1.5×	163 1.6×	121 1.3×	59 0.8×	76	556
Shailendra Aswale India	11	119 0.5×	136 0.8×	43 0.4×	60 0.6×	53 0.7×	44	390

Countries citing papers authored by Majed Aborokbah

Since Specialization

Citations

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

Fields of papers citing papers by Majed Aborokbah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Majed Aborokbah

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Aborokbah, Majed, et al.. (2025). TabNet‐SFO: An Intrusion Detection Model for Smart Water Management in Smart Cities. International Journal of Intelligent Systems. 2025(1). 2 indexed citations

Zhang, Chao, et al.. (2025). Managing Consensus Behaviors Via Sentiment Analysis for GenAI-Driven Consumer Services. IEEE Consumer Electronics Magazine. 14(5). 123–132.

Zhang, Chao, et al.. (2025). An incomplete three-way consensus algorithm for unmanned aerial vehicle purchase using optimization-driven sentiment analysis. Future Generation Computer Systems. 168. 107761–107761. 1 indexed citations

Aborokbah, Majed, et al.. (2025). Improved smart city security using a deep maxout network-based intrusion detection system with walrus optimization. PeerJ Computer Science. 11. e2743–e2743.

Zhang, Chao, et al.. (2025). Wheat Soil-Borne Mosaic Virus Disease Detection: A Perspective of Agricultural Decision-Making via Spectral Clustering and Multi-Indicator Feedback. Plants. 14(15). 2260–2260. 1 indexed citations

Albalawi, Aishah E., et al.. (2025). Protecting digital assets using an ontology based cyber situational awareness system. Frontiers in Artificial Intelligence. 7. 1394363–1394363. 1 indexed citations

Sangaiah, Arun Kumar, et al.. (2024). Enhancing Resilience in Edge IoT Devices Against Adversarial Attacks. IEEE Consumer Electronics Magazine. 14(4). 48–56.

Sangaiah, Arun Kumar, et al.. (2024). Enhanced Data-Driven Framework for Anomaly Detection in Smart Grid IEDs. Journal of Circuits Systems and Computers. 34(7).

Manimurugan, S., P. Karthikeyan, Majed Aborokbah, C. Narmatha, & Subramaniam Ganesan. (2024). Breast cancer diagnosis model using stacked autoencoder with particle swarm optimization. Ain Shams Engineering Journal. 15(6). 102734–102734. 5 indexed citations

10.

Manimurugan, S., P. Karthikeyan, C. Narmatha, et al.. (2024). A hybrid Bi-LSTM and RBM approach for advanced underwater object detection. PLoS ONE. 19(11). e0313708–e0313708. 1 indexed citations

11.

Almutairi, Saad, S. Manimurugan, Majed Aborokbah, et al.. (2023). An Efficient USE‐Net Deep Learning Model for Cancer Detection. International Journal of Intelligent Systems. 2023(1). 9 indexed citations

12.

Aborokbah, Majed, et al.. (2023). Detection of Hate Posts and Tweets in the Social Network Society. International Journal of Emerging Technology and Advanced Engineering. 13(5). 8–13.

13.

Alotaibi, Mohammed, et al.. (2023). Association between Obesity and COVID-19: Insights from Social Media Content. Information. 14(8). 448–448.

14.

Almutairi, Saad, S. Manimurugan, Byung‐Gyu Kim, Majed Aborokbah, & C. Narmatha. (2023). Breast cancer classification using Deep Q Learning (DQL) and gorilla troops optimization (GTO). Applied Soft Computing. 142. 110292–110292. 37 indexed citations

15.

Manimurugan, S., Saad Almutairi, Majed Aborokbah, et al.. (2022). Two-Stage Classification Model for the Prediction of Heart Disease Using IoMT and Artificial Intelligence. Sensors. 22(2). 476–476. 55 indexed citations

16.

Aborokbah, Majed, et al.. (2022). A Scheme for Predicting Energy Consumption in Smart Cities Using Machine Learning. Webology. 19(1). 3481–3499. 1 indexed citations

17.

Aborokbah, Majed. (2021). Using augmented reality to support children with dyslexia. International Journal of Cloud Computing. 10(1/2). 17–17. 3 indexed citations

18.

Aborokbah, Majed. (2021). Using augmented reality to support children with dyslexia. International Journal of Cloud Computing. 10(1/2). 17–17. 6 indexed citations

19.

Manimurugan, S., Saad Almutairi, Majed Aborokbah, et al.. (2020). Effective Attack Detection in Internet of Medical Things Smart Environment Using a Deep Belief Neural Network. IEEE Access. 8. 77396–77404. 188 indexed citations

20.

Aborokbah, Majed, et al.. (2018). Improving Pre-hospital Care of Road Traffic Accident's Victims with Smartphone Technology. International Journal of Interactive Mobile Technologies (iJIM). 12(2). 130–130. 6 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