Nazik Alturki

2.0k total citations · 2 hit papers
50 papers, 1.1k citations indexed

About

Nazik Alturki is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Nazik Alturki has authored 50 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 12 papers in Computer Networks and Communications. Recurrent topics in Nazik Alturki's work include IoT and Edge/Fog Computing (6 papers), Artificial Intelligence in Healthcare (6 papers) and Brain Tumor Detection and Classification (6 papers). Nazik Alturki is often cited by papers focused on IoT and Edge/Fog Computing (6 papers), Artificial Intelligence in Healthcare (6 papers) and Brain Tumor Detection and Classification (6 papers). Nazik Alturki collaborates with scholars based in Saudi Arabia, Pakistan and South Korea. Nazik Alturki's co-authors include Mohammad Amin Kuhail, Oumaima Saidani, Hanan Aljuaid, Antonio Liotta, Najah Alsubaie, Lucia Cavallaro, Zuhaira Muhammad Zain, Leila Jamel, Muhammad Umer and Imran Ashraf and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Nazik Alturki

37 papers receiving 995 citations

Hit Papers

2 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.

Interacting with educational chatbots: A systematic review

2022 379 citations Mohammad Amin Kuhail, Nazik Alturki et al. Education and Information Technologies profile →
Computer-aided diagnosis for breast cancer classification using deep neural networks and transfer learning

2022 139 citations Nazik Alturki et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nazik Alturki Saudi Arabia	16	594	214	201	135	118	50	1.1k
Malak Abdullah Jordan	14	670 1.1×	56 0.3×	156 0.8×	97 0.7×	92 0.8×	50	1.2k
Junaid Rashid Pakistan	15	347 0.6×	74 0.3×	166 0.8×	194 1.4×	27 0.2×	71	967
Lakshmana Kumar Ramasamy India	14	211 0.4×	83 0.4×	133 0.7×	72 0.5×	119 1.0×	27	637
Muhammad Wasif Nisar Pakistan	13	350 0.6×	73 0.3×	89 0.4×	161 1.2×	21 0.2×	39	789
V. Ramalingam India	21	629 1.1×	498 2.3×	102 0.5×	280 2.1×	12 0.1×	65	1.7k
Sellappan Palaniappan Malaysia	14	288 0.5×	228 1.1×	83 0.4×	244 1.8×	9 0.1×	59	1.0k
Zhengliang Liu United States	17	460 0.8×	40 0.2×	220 1.1×	119 0.9×	247 2.1×	51	1.1k
Thanveer Shaik Australia	10	248 0.4×	91 0.4×	54 0.3×	48 0.4×	88 0.7×	20	602
Chandra Thapa Australia	11	622 1.0×	86 0.4×	35 0.2×	84 0.6×	45 0.4×	25	942
Divakar Yadav India	14	532 0.9×	34 0.2×	86 0.4×	237 1.8×	15 0.1×	108	1.0k

Countries citing papers authored by Nazik Alturki

Since Specialization

Citations

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

Fields of papers citing papers by Nazik Alturki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nazik Alturki

This figure shows the co-authorship network connecting the top 25 collaborators of Nazik Alturki. A scholar is included among the top collaborators of Nazik Alturki 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 Nazik Alturki. Nazik Alturki 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

Dhanaraj, Rajesh Kumar, et al.. (2025). Reliable Secured Consumer IIoT Framework With Multi Layer Attack Interpretation and Prevention. IEEE Transactions on Consumer Electronics. 71(2). 5036–5043.

Zeb, Asim, Taj Rahman, Inam Ullah, et al.. (2025). Federated Deep Learning for Collision Avoidance in IoV With Digital Twin Integration. Expert Systems. 43(1).

Ghaffar, Zahid, Wen‐Chung Kuo, Khalid Mahmood, et al.. (2025). A Machine Learning Attack Resilient Authentication Protocol for AI-Driven Consumer Wearable Health Monitoring. IEEE Transactions on Consumer Electronics. 71(3). 8545–8552.

Hou, Lei, et al.. (2025). Endmember-Free Hyperspectral Unmixing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 23912–23924.

Budhiraja, Ishan, et al.. (2025). Cross Layer Interference Management for STAR-RIS-Assisted VRCS Using GAI Augmented TinyFRL. IEEE Transactions on Intelligent Transportation Systems. 1–13.

Ullah, Farhan, et al.. (2025). TFedSec-HI: Transformer-Driven Federated Security for IoT-Enabled Healthcare Industry 5.0 on Non-IID Data. IEEE Internet of Things Journal. 12(22). 46204–46214.

Peng, Bo, et al.. (2025). Spectral-spatial wave and frequency interactive transformer for hyperspectral image classification. Scientific Reports. 15(1). 27259–27259.

Kuhail, Mohammad Amin, et al.. (2024). Human vs. AI counseling: College students' perspectives. Computers in Human Behavior Reports. 16. 100534–100534. 5 indexed citations

Alturki, Nazik, Raed Alharthi, Muhammad Umer, et al.. (2024). Efficient and Secure IoT Based Smart Home Automation Using Multi-Model Learning and Blockchain Technology. Computer Modeling in Engineering & Sciences. 139(3). 3387–3415. 3 indexed citations

10.

Jamil, Norziana, et al.. (2024). A Lightweight malware detection technique based on hybrid fuzzy simulated annealing clustering in Android apps. Egyptian Informatics Journal. 28. 100560–100560.

11.

Ahmed, Adeel, et al.. (2024). An Efficient Task Scheduling for Cloud Computing Platforms Using Energy Management Algorithm: A Comparative Analysis of Workflow Execution Time. IEEE Access. 12. 34208–34221. 7 indexed citations

12.

Saidani, Oumaima, Muhammad Umer, Nazik Alturki, et al.. (2024). White blood cells classification using multi-fold pre-processing and optimized CNN model. Scientific Reports. 14(1). 3570–3570. 21 indexed citations

13.

Cascone, Lucia, et al.. (2024). A novel approach for breast cancer detection using optimized ensemble learning framework and XAI. Image and Vision Computing. 142. 104910–104910. 27 indexed citations

14.

Ayouni, Sarra, et al.. (2023). Development of a Smart Hospital Bed Based on Deep Learning to Monitor Patient Conditions. SHILAP Revista de lepidopterología. 2(2). 3 indexed citations

15.

Albakri, Ashwag, et al.. (2023). Metaheuristics with Deep Learning Model for Cybersecurity and Android Malware Detection and Classification. Applied Sciences. 13(4). 2172–2172. 27 indexed citations

16.

Jamel, Leila, et al.. (2023). Serious gaming for graduates employability enhancement. Frontiers in Psychology. 14. 1324397–1324397. 3 indexed citations

17.

Ayouni, Sarra, et al.. (2023). Ensemble Learning-based Smartbed System for Enhanced Patient Care. SHILAP Revista de lepidopterología. 2(1). 1 indexed citations

18.

Kuhail, Mohammad Amin, et al.. (2022). Interacting with educational chatbots: A systematic review. Education and Information Technologies. 28(1). 973–1018. 379 indexed citations breakdown →

19.

Kaushal, Chetna, et al.. (2022). A Secure Framework toward IoMT‐Assisted Data Collection, Modeling, and Classification for Intelligent Dermatology Healthcare Services. Contrast Media & Molecular Imaging. 2022(1). 6805460–6805460. 13 indexed citations

20.

Zain, Zuhaira Muhammad & Nazik Alturki. (2021). COVID-19 Pandemic Forecasting Using CNN-LSTM: A Hybrid Approach. Journal of Control Science and Engineering. 2021. 1–23. 42 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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