Ayman Altameem

3.4k total citations · 1 hit paper
90 papers, 2.4k citations indexed

About

Ayman Altameem is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Ayman Altameem has authored 90 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Networks and Communications, 21 papers in Computer Vision and Pattern Recognition and 20 papers in Artificial Intelligence. Recurrent topics in Ayman Altameem's work include IoT and Edge/Fog Computing (16 papers), Vehicular Ad Hoc Networks (VANETs) (10 papers) and AI in cancer detection (8 papers). Ayman Altameem is often cited by papers focused on IoT and Edge/Fog Computing (16 papers), Vehicular Ad Hoc Networks (VANETs) (10 papers) and AI in cancer detection (8 papers). Ayman Altameem collaborates with scholars based in Saudi Arabia, India and Pakistan. Ayman Altameem's co-authors include Abdul Hanan Abdullah, Tanzila Saba, Amjad Rehman, Yue Cao, Omprakash Kaiwartya, Ahmad Almogren, Xiulei Liu, Mukesh Prasad, Chin‐Teng Lin and Abdul Khader Jilani Saudagar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Ayman Altameem

84 papers receiving 2.3k citations

Hit Papers

align trajectories

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.

Internet of Vehicles: Motivation, Layered Architecture, Network Model, Challenges, and Future Aspects

2016 514 citations Ayman Altameem et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ayman Altameem Saudi Arabia	24	883	694	650	510	369	90	2.4k
Varun G. Menon India	31	1.2k 1.4×	437 0.6×	1.1k 1.7×	637 1.2×	556 1.5×	126	3.2k
Quan Yuan China	28	1.1k 1.2×	414 0.6×	654 1.0×	681 1.3×	432 1.2×	145	2.7k
Ahmed Ghoneim Saudi Arabia	32	1.2k 1.4×	670 1.0×	503 0.8×	1.0k 2.0×	701 1.9×	78	2.9k
Hari Mohan Pandey United Kingdom	31	583 0.7×	909 1.3×	484 0.7×	923 1.8×	230 0.6×	113	3.1k
Huanlai Xing China	29	1.4k 1.6×	536 0.8×	658 1.0×	1.2k 2.3×	416 1.1×	145	3.2k
Zeng Zeng China	24	485 0.5×	399 0.6×	336 0.5×	507 1.0×	328 0.9×	150	2.2k
Muazzam A. Khan Pakistan	28	863 1.0×	697 1.0×	352 0.5×	860 1.7×	239 0.6×	121	2.4k
Abdulhameed Alelaiwi Saudi Arabia	29	1.6k 1.8×	622 0.9×	677 1.0×	889 1.7×	972 2.6×	84	3.0k
Naima Kaabouch United States	29	1.4k 1.6×	429 0.6×	1.1k 1.7×	886 1.7×	467 1.3×	184	3.7k
Long Hu China	27	1.4k 1.6×	474 0.7×	655 1.0×	556 1.1×	531 1.4×	95	2.7k

Countries citing papers authored by Ayman Altameem

Since Specialization

Citations

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

Fields of papers citing papers by Ayman Altameem

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayman Altameem

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

All Works

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20 of 20 papers shown

Anand, Vatsala, Sheifali Gupta, Ahmad Almogren, et al.. (2025). Enhanced Detection of Colon Diseases via a Fused Deep Learning Model with an Auxiliary Fusion Layer and Residual Blocks on Endoscopic Images. Current Medical Imaging Formerly Current Medical Imaging Reviews. 21. e15734056353246–e15734056353246. 1 indexed citations

Almogren, Ahmad, Abidemi Emmanuel Adeniyi, Sunday Adeola Ajagbe, et al.. (2025). Efficient diagnosis of diabetes mellitus using an improved ensemble method. Scientific Reports. 15(1). 3235–3235. 5 indexed citations

Gupta, Sheifali, et al.. (2025). ARCUNet: enhancing skin lesion segmentation with residual convolutions and attention mechanisms for improved accuracy and robustness. Scientific Reports. 15(1). 9262–9262.

Bharany, Salil, Ahmad Almogren, & Ayman Altameem. (2025). Optimizing IoT Connectivity: A Quantitative Exploration of the Comprehensive Adaptive Sensing and Clustering System for Smart Sensor Networks in Smart Cities. Wireless Personal Communications. 140(1-2). 353–375. 2 indexed citations

Arif, Fahim, et al.. (2025). Interpretable and Adaptive GAN-BiLSTM Approach for Cyber Threat Detection in IoMT-based Healthcare 5.0. IEEE Journal of Biomedical and Health Informatics. PP. 1–8.

Din, Ikram Ud, et al.. (2024). Enhancing Edge-Linked Caching in Information-Centric Networking for Internet of Things With Deep Reinforcement Learning. IEEE Access. 12. 154918–154932. 3 indexed citations

Singh, Rajesh, et al.. (2024). Advanced battery management system enhancement using IoT and ML for predicting remaining useful life in Li-ion batteries. Scientific Reports. 14(1). 30394–30394. 8 indexed citations

Ahmed, Adeel, Ikram Ud Din, Ahmad Almogren, et al.. (2024). Dynamic Property Preservation in AIoT: A Machine Learning Approach for Data-Efficient Model Transformation. IEEE Access. 12. 130707–130722. 1 indexed citations

Din, Ikram Ud, et al.. (2024). Quantum and GAN-Driven Digital Twin Approach for IoT-Based Consumer Electronics Manufacturing. IEEE Internet of Things Journal. 12(4). 3734–3741. 7 indexed citations

10.

Taj, Rizwan, Tao Feng, Saima Kanwal, et al.. (2024). A reversible-zero watermarking scheme for medical images. Scientific Reports. 14(1). 17320–17320. 10 indexed citations

11.

Das, Abhishek, Mihir Narayan Mohanty, Mihir Narayan Mohanty, et al.. (2022). Design of Smart and Secured Healthcare Service Using Deep Learning with Modified SHA-256 Algorithm. Healthcare. 10(7). 1275–1275. 7 indexed citations

12.

Nasir, Hina, et al.. (2022). Blockchain Based Privacy Preserving Authentication and Malicious Node Detection in Internet of Underwater Things (IoUT) Networks. IEEE Access. 10. 113945–113955. 10 indexed citations

13.

Altameem, Ayman, Chandrakanta Mahanty, Ramesh Chandra Poonia, Abdul Khader Jilani Saudagar, & Raghvendra Kumar. (2022). Breast Cancer Detection in Mammography Images Using Deep Convolutional Neural Networks and Fuzzy Ensemble Modeling Techniques. Diagnostics. 12(8). 1812–1812. 55 indexed citations

14.

Gupta, Sheifali, Deepali Gupta, Ayman Altameem, et al.. (2022). HTLML: Hybrid AI Based Model for Detection of Alzheimer’s Disease. Diagnostics. 12(8). 1833–1833. 34 indexed citations

15.

Din, Ikram Ud, et al.. (2021). LightTrust: Lightweight Trust Management for Edge Devices in Industrial Internet of Things. IEEE Internet of Things Journal. 10(4). 2776–2783. 56 indexed citations

16.

Awan, Kamran Ahmad, Ikram Ud Din, Ahmad Almogren, Byung-Seo Kim, & Ayman Altameem. (2021). vTrust: An IoT-Enabled Trust-Based Secure Wireless Energy Sharing Mechanism for Vehicular Ad Hoc Networks. Sensors. 21(21). 7363–7363. 11 indexed citations

17.

Haseeb, Khalid, Ikram Ud Din, Ahmad Almogren, Naveed Islam, & Ayman Altameem. (2020). RTS: A Robust and Trusted Scheme for IoT-Based Mobile Wireless Mesh Networks. IEEE Access. 8. 68379–68390. 38 indexed citations

18.

Saba, Tanzila, Khalid Haseeb, Ikram Ud Din, et al.. (2020). EGCIR: Energy-Aware Graph Clustering and Intelligent Routing Using Supervised System in Wireless Sensor Networks. Energies. 13(16). 4072–4072. 18 indexed citations

19.

Haseeb, Khalid, Ahmad Almogren, Ikram Ud Din, Naveed Islam, & Ayman Altameem. (2020). SASC: Secure and Authentication-Based Sensor Cloud Architecture for Intelligent Internet of Things. Sensors. 20(9). 2468–2468. 61 indexed citations

20.

Kolivand, Hoshang, Mohd Shahrizal Sunar, Ayman Altameem, Amjad Rehman, & Mueen Uddin. (2015). Shadow mapping algorithms: Applications and limitations. Liverpool John Moores University. 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.

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