Nisreen Innab

1.2k total citations · 1 hit paper
95 papers, 518 citations indexed

About

Nisreen Innab is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Nisreen Innab has authored 95 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 22 papers in Computer Networks and Communications and 16 papers in Information Systems. Recurrent topics in Nisreen Innab's work include Network Security and Intrusion Detection (10 papers), Advanced Malware Detection Techniques (8 papers) and IoT and Edge/Fog Computing (7 papers). Nisreen Innab is often cited by papers focused on Network Security and Intrusion Detection (10 papers), Advanced Malware Detection Techniques (8 papers) and IoT and Edge/Fog Computing (7 papers). Nisreen Innab collaborates with scholars based in Saudi Arabia, Pakistan and China. Nisreen Innab's co-authors include Ali Ahmadian, Devesh Pratap Singh, Satvik Vats, Amit Singh, Vikrant Sharma, Abir Mouldi, David Taniar, Mohd Yazid Bajuri, Muhammad Umer and M. M. Kamruzzaman and has published in prestigious journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Nisreen Innab

81 papers receiving 499 citations

Hit Papers

Iterative enhancement fusion-based cascaded model for det... 2024 2026 2025 2024 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
Nisreen Innab Saudi Arabia 11 133 109 79 69 67 95 518
Durgesh Srivastava India 10 203 1.5× 125 1.1× 91 1.2× 81 1.2× 42 0.6× 42 532
Mohamadtaghi Rahimi Iran 7 133 1.0× 79 0.7× 50 0.6× 68 1.0× 48 0.7× 14 443
H L Gururaj India 12 138 1.0× 159 1.5× 108 1.4× 72 1.0× 83 1.2× 77 527
Mohammad Khalid Imam Rahmani Saudi Arabia 13 152 1.1× 137 1.3× 91 1.2× 77 1.1× 85 1.3× 55 529
Sunday Adeola Ajagbe Nigeria 14 199 1.5× 163 1.5× 88 1.1× 116 1.7× 61 0.9× 78 633
N. Yuvaraj India 16 206 1.5× 155 1.4× 85 1.1× 92 1.3× 144 2.1× 50 625
Abdulaziz S. Almazyad Saudi Arabia 13 166 1.2× 82 0.8× 77 1.0× 184 2.7× 57 0.9× 67 560
G. Shobha India 12 139 1.0× 207 1.9× 153 1.9× 103 1.5× 63 0.9× 90 552
M. Saravanan India 11 138 1.0× 151 1.4× 124 1.6× 71 1.0× 53 0.8× 72 476
Mohammed Elbes Jordan 12 172 1.3× 73 0.7× 86 1.1× 53 0.8× 80 1.2× 29 422

Countries citing papers authored by Nisreen Innab

Since Specialization
Citations

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

Fields of papers citing papers by Nisreen Innab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nisreen Innab

This figure shows the co-authorship network connecting the top 25 collaborators of Nisreen Innab. A scholar is included among the top collaborators of Nisreen Innab 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 Nisreen Innab. Nisreen Innab 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.
Din, Fakhrud, et al.. (2025). A modified grey wolf optimizer with multi-solution crossover integration algorithm for feature selection. Journal of Ambient Intelligence and Humanized Computing. 16(1). 329–345.
2.
Iqbal, Nadeem, et al.. (2024). Utilizing the nth root of numbers for novel random data calculus and its applications in network security and image encryption. Expert Systems with Applications. 265. 125992–125992. 9 indexed citations
3.
Alsubai, Shtwai, Muhammad Umer, Nisreen Innab, Stavros Shiaeles, & Michele Nappi. (2024). Multi-scale convolutional auto encoder for anomaly detection in 6G environment. Computers & Industrial Engineering. 194. 110396–110396. 13 indexed citations
4.
Wei, Jihong, et al.. (2024). Power system monitoring for electrical disturbances in wide network using machine learning. Sustainable Computing Informatics and Systems. 42. 100959–100959. 16 indexed citations
6.
Ashraf, Fatima, et al.. (2024). ERCO-Net: Enhancing Image Dehazing for Optimized Detail Retention. International Journal of Advanced Computer Science and Applications. 15(10). 1 indexed citations
7.
Innab, Nisreen, et al.. (2024). A Novel Hybrid Architecture for Superior IoT Threat Detection through Real IoT Environments. Computers, materials & continua/Computers, materials & continua (Print). 81(2). 2299–2316. 6 indexed citations
8.
Innab, Nisreen, et al.. (2024). Enhancing fraud detection in auto insurance and credit card transactions: a novel approach integrating CNNs and machine learning algorithms. PeerJ Computer Science. 10. e2088–e2088. 6 indexed citations
10.
Khan, Muhammad Asghar, et al.. (2024). An Efficient Authentication and Access Control Protocol for Securing UAV Networks Against Anomaly-Based Intrusion. IEEE Access. 12. 62750–62764. 2 indexed citations
11.
Jabbar, Abdul, Muhammad Assam, Muhammad Arslan, et al.. (2024). Image-to-image translation based face photo de-meshing using GANs. Computer Vision and Image Understanding. 247. 104080–104080.
12.
Farhaoui, Yousef, et al.. (2024). Meta-Learning Guided Weight Optimization for Enhanced Solar Radiation Forecasting and Sustainable Energy Management with VotingRegressor. Sustainability. 16(13). 5505–5505. 2 indexed citations
13.
M.S., Syam, et al.. (2024). Social media’s dark secrets: A propagation, lexical and psycholinguistic oriented deep learning approach for fake news proliferation. Expert Systems with Applications. 255. 124650–124650. 5 indexed citations
14.
Innab, Nisreen, et al.. (2024). Comparative Analysis and Spatial Distribution of the Primary Health Care Centers and Health Manpower Across Saudi Arabia Using Shapiro–Wilk Test. Journal of Multidisciplinary Healthcare. Volume 17. 4851–4861.
15.
Narayanamoorthy, Samayan, et al.. (2023). A perspective study for the assessment of field robots in agriculture: An enhanced fuzzy MADM approach. Computers and Electronics in Agriculture. 214. 108296–108296. 9 indexed citations
16.
Khan, Muhammad Asghar, Hosam Alhakami, Insaf Ullah, et al.. (2023). A Resource-Friendly Certificateless Proxy Signcryption Scheme for Drones in Networks beyond 5G. Drones. 7(5). 321–321. 1 indexed citations
17.
Narayanamoorthy, Samayan, et al.. (2023). A novel decision support system for the appraisal and selection of green warehouses. Socio-Economic Planning Sciences. 91. 101782–101782. 10 indexed citations
18.
Ullah, Insaf, et al.. (2023). Enabling Secure Communication in Wireless Body Area Networks with Heterogeneous Authentication Scheme. Sensors. 23(3). 1121–1121. 10 indexed citations
19.
Ullah, Insaf, Bilal Hassan, Noor Ul Amin, et al.. (2023). An Optimal Authentication Scheme through Dual Signature for the Internet of Medical Things. Future Internet. 15(8). 258–258. 4 indexed citations
20.
Ullah, Insaf, Muhammad Asghar Khan, Syed Agha Hassnain Mohsan, et al.. (2022). A Conditional Privacy Preserving Generalized Ring Signcryption Scheme for Micro Aerial Vehicles. Micromachines. 13(11). 1926–1926. 3 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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