Noha Alnazzawi

952 total citations · 1 hit paper
32 papers, 508 citations indexed

About

Noha Alnazzawi is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Noha Alnazzawi has authored 32 papers receiving a total of 508 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 8 papers in Information Systems. Recurrent topics in Noha Alnazzawi's work include Technology Adoption and User Behaviour (6 papers), Energy Efficient Wireless Sensor Networks (5 papers) and Topic Modeling (4 papers). Noha Alnazzawi is often cited by papers focused on Technology Adoption and User Behaviour (6 papers), Energy Efficient Wireless Sensor Networks (5 papers) and Topic Modeling (4 papers). Noha Alnazzawi collaborates with scholars based in Saudi Arabia, United Kingdom and Pakistan. Noha Alnazzawi's co-authors include Said A. Salloum, Raghad Alfaisal, Iman Akour, Khadija Alhumaid, Mohammed Amin Almaiah, Sophia Ananiadou, Paul M. Thompson, Barween Al Kurdi, Muhammad Turki Alshurideh and Rana Saeed Al-Maroof and has published in prestigious journals such as PLoS ONE, IEEE Access and Sensors.

In The Last Decade

Noha Alnazzawi

28 papers receiving 486 citations

Hit Papers

align trajectories sort by overperformance

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.

Cybersecurity Solutions for Industrial Internet of Things–Edge Computing Integration: Challenges, Threats, and Future Directions

2025 23 citations Tamara Zhukabayeva, Shafiullah Khan et al. Sensors profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Noha Alnazzawi Saudi Arabia	13	200	82	73	61	54	32	508
Faten Kharbat United Arab Emirates	10	128 0.6×	110 1.3×	28 0.4×	31 0.5×	75 1.4×	43	530
Hayden Wimmer United States	13	136 0.7×	146 1.8×	38 0.5×	57 0.9×	37 0.7×	79	473
Christos Skourlas Greece	11	129 0.6×	155 1.9×	68 0.9×	66 1.1×	31 0.6×	82	490
Michael J. D. Sutton United States	10	124 0.6×	190 2.3×	28 0.4×	39 0.6×	29 0.5×	22	639
Byron Marshall United States	12	185 0.9×	184 2.2×	22 0.3×	40 0.7×	88 1.6×	35	456
George Chin United States	14	144 0.7×	145 1.8×	107 1.5×	75 1.2×	20 0.4×	50	608
Bahtiar Saleh Abbas Indonesia	11	89 0.4×	149 1.8×	48 0.7×	36 0.6×	28 0.5×	63	400
Mohd Hasan Selamat Malaysia	12	107 0.5×	222 2.7×	108 1.5×	26 0.4×	90 1.7×	74	524
Andrew Fano United States	11	244 1.2×	188 2.3×	65 0.9×	83 1.4×	34 0.6×	19	678
Julia Heidemann Germany	10	128 0.6×	132 1.6×	85 1.2×	242 4.0×	99 1.8×	25	800

Countries citing papers authored by Noha Alnazzawi

Since Specialization

Citations

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

Fields of papers citing papers by Noha Alnazzawi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noha Alnazzawi

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

Latif, Shahid, et al.. (2025). Mitigating Model Poisoning and Tampering in Consumer IoT With HMAC in Split Federated Learning. IEEE Transactions on Consumer Electronics. 71(4). 12312–12322.

Zhukabayeva, Tamara, et al.. (2025). Cybersecurity Solutions for Industrial Internet of Things–Edge Computing Integration: Challenges, Threats, and Future Directions. Sensors. 25(1). 213–213. 23 indexed citations breakdown →

Alnazzawi, Noha, et al.. (2025). IoT-UAV-Enabled Intelligent Resource Management in Low-Carbon Smart Agriculture Using Federated Reinforcement Learning. IEEE Transactions on Consumer Electronics. 71(2). 6933–6941. 1 indexed citations

Zhukabayeva, Tamara, et al.. (2025). Real-Time Detection and Response to Wormhole and Sinkhole Attacks in Wireless Sensor Networks. Technologies. 13(8). 348–348.

Umar, Muhammad Muneer, et al.. (2025). Community Aware Source-Based Incentive Strategy to Mitigate Node Selfishness in Social Internet of Things. IEEE Access. 13. 119863–119883.

Khan, Shafiullah, Muhammad Altaf Khan, & Noha Alnazzawi. (2024). Artificial Neural Network-Based Mechanism to Detect Security Threats in Wireless Sensor Networks. Sensors. 24(5). 1641–1641. 7 indexed citations

Rauf, Azhar, et al.. (2024). Probabilistic Support Prediction: Fast Frequent Itemset Mining in Dense Data. IEEE Access. 12. 39330–39350. 5 indexed citations

Aldhyani, Theyazn H. H., Mohammad Ayoub Khan, Mohammed Amin Almaiah, et al.. (2023). A Secure Internet of Medical Things Framework for Breast Cancer Detection in Sustainable Smart Cities. Electronics. 12(4). 858–858. 17 indexed citations

Khan, Muhammad Altaf, et al.. (2023). TKIFRPM: A Novel Approach for Topmost-K Identical Frequent Regular Patterns Mining from Incremental Datasets. Applied Sciences. 13(1). 654–654. 1 indexed citations

10.

Akour, Iman, Noha Alnazzawi, Muhammad Turki Alshurideh, et al.. (2022). A Conceptual Model for Investigating the Effect of Privacy Concerns on E-Commerce Adoption: A Study on United Arab Emirates Consumers. Electronics. 11(22). 3648–3648. 77 indexed citations

11.

Elnagar, Ashraf, Noha Alnazzawi, Imad Afyouni, et al.. (2022). An empirical study of e-learning post-acceptance after the spread of COVID-19. International Journal of Data and Network Science. 6(3). 669–682. 8 indexed citations

12.

Khan, Shafiullah, et al.. (2022). Game-Theory-Based Multimode Routing Protocol for Internet of Things. Electronics. 11(24). 4134–4134. 3 indexed citations

13.

Kumar, Sunil, et al.. (2022). TDMA policy to optimize resource utilization in Wireless Sensor Networks using reinforcement learning for ambient environment. Computer Communications. 195. 162–172. 4 indexed citations

14.

Alnazzawi, Noha, et al.. (2022). A decision-support system for assessing the function of machine learning and artificial intelligence in music education for network games. Soft Computing. 26(20). 11063–11075. 23 indexed citations

15.

Kumar, Sunil, et al.. (2022). Early alert for sleep deprivation using mobile sensor data fusion. Computers & Electrical Engineering. 102. 108228–108228. 2 indexed citations

16.

Dash, Ranjan Kumar, et al.. (2022). A new and reliable intelligent model for deployment of sensor nodes for IoT applications. Computers & Electrical Engineering. 101. 107959–107959. 12 indexed citations

17.

Alnazzawi, Noha. (2022). Using Twitter to Detect Hate Crimes and Their Motivations: The HateMotiv Corpus. Data. 7(6). 69–69. 7 indexed citations

18.

Alnazzawi, Noha. (2021). Building a semantically annotated corpus for chronic disease complications using two document types. PLoS ONE. 16(3). e0247319–e0247319. 2 indexed citations

19.

Alnazzawi, Noha, Paul M. Thompson, & Sophia Ananiadou. (2016). Mapping Phenotypic Information in Heterogeneous Textual Sources to a Domain-Specific Terminological Resource. PLoS ONE. 11(9). e0162287–e0162287. 8 indexed citations

20.

Alnazzawi, Noha, Paul M. Thompson, & Sophia Ananiadou. (2014). Building a semantically annotated corpus for congestive heart and renal failure from clinical records and the literature. Research Explorer (The University of Manchester). 69–74. 16 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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