Asmaa Munshi

842 total citations
36 papers, 569 citations indexed

About

Asmaa Munshi is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Asmaa Munshi has authored 36 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 12 papers in Information Systems and 9 papers in Artificial Intelligence. Recurrent topics in Asmaa Munshi's work include Network Security and Intrusion Detection (9 papers), Advanced Steganography and Watermarking Techniques (6 papers) and Advanced Malware Detection Techniques (6 papers). Asmaa Munshi is often cited by papers focused on Network Security and Intrusion Detection (9 papers), Advanced Steganography and Watermarking Techniques (6 papers) and Advanced Malware Detection Techniques (6 papers). Asmaa Munshi collaborates with scholars based in Saudi Arabia, Pakistan and United States. Asmaa Munshi's co-authors include Wafa Sulaiman Almukadi, Hossein Ahmadi, Mehrbakhsh Nilashi, Tarik A. Rashid, Zahid Mehmood, Omed Hassan Ahmed, Othman Ibrahim, Azizah Abdul Manaf, Sarminah Samad and Tanzila Saba and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Asmaa Munshi

33 papers receiving 547 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Asmaa Munshi Saudi Arabia	13	129	119	114	79	72	36	569
Pantea Keikhosrokiani Malaysia	13	93 0.7×	86 0.7×	142 1.2×	97 1.2×	49 0.7×	53	673
Gurinder Singh India	18	155 1.2×	68 0.6×	183 1.6×	107 1.4×	50 0.7×	94	913
Tranos Zuva South Africa	13	173 1.3×	93 0.8×	165 1.4×	54 0.7×	103 1.4×	93	758
José Luis Sánchez-Cervantes Mexico	16	175 1.4×	118 1.0×	277 2.4×	59 0.7×	74 1.0×	41	860
Albina Orlando Italy	8	152 1.2×	87 0.7×	59 0.5×	24 0.3×	43 0.6×	29	405
Chonghuan Xu China	15	194 1.5×	137 1.2×	180 1.6×	128 1.6×	42 0.6×	43	665
Rebecca Strachan United Kingdom	15	136 1.1×	113 0.9×	295 2.6×	76 1.0×	60 0.8×	56	942
Waidah Ismail Malaysia	14	171 1.3×	75 0.6×	120 1.1×	63 0.8×	120 1.7×	52	801
Abdul Samad Shibghatullah Malaysia	11	63 0.5×	73 0.6×	55 0.5×	55 0.7×	52 0.7×	97	417
Ismail Keshta Saudi Arabia	15	388 3.0×	217 1.8×	232 2.0×	68 0.9×	97 1.3×	93	925

Countries citing papers authored by Asmaa Munshi

Since Specialization

Citations

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

Fields of papers citing papers by Asmaa Munshi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Asmaa Munshi

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

Munshi, Asmaa, et al.. (2024). Prediction of Anemia from Multi-Data Attribute Co-Existence. IEEE Access. 12. 182923–182942. 1 indexed citations

Munshi, Asmaa. (2024). Detecting Unusual Repetitive Patterns of Behavior Indicative of a Loop-Based Attack in IoT. Sensors. 24(23). 7534–7534. 1 indexed citations

Munshi, Asmaa. (2023). Randomly-based Stepwise Multi-Level Distributed Medical Image Steganography. Engineering Technology & Applied Science Research. 13(3). 10922–10930. 6 indexed citations

Munshi, Asmaa. (2023). Hybrid Detection Technique for IP Packet Header Modifications Associated with Store-and-Forward Operations. Applied Sciences. 13(18). 10229–10229. 2 indexed citations

Mehmood, Zahid, et al.. (2022). Deep features optimization based on a transfer learning, genetic algorithm, and extreme learning machine for robust content-based image retrieval. PLoS ONE. 17(10). e0274764–e0274764. 6 indexed citations

Bamasag, Omaimah, et al.. (2022). Real-time DDoS flood attack monitoring and detection (RT-AMD) model for cloud computing. PeerJ Computer Science. 7. e814–e814. 12 indexed citations

Mehmood, Zahid, Hassan Nazeer Chaudhry, Rizwan Ali Naqvi, et al.. (2022). Passive Framework of Sparse Region Duplication Detection from Digital Images. Journal of Sensors. 2022. 1–16.

Munshi, Asmaa, et al.. (2022). A Decentralized Blockchain-Based Trust Management Framework for Vehicular Ad Hoc Networks. Smart Cities. 5(1). 348–363. 12 indexed citations

Nawaz, Marriam, Zahid Mehmood, Muhammad Bilal, et al.. (2021). Single and multiple regions duplication detections in digital images with applications in image forensic. Journal of Intelligent & Fuzzy Systems. 40(6). 10351–10371. 11 indexed citations

10.

Bamasag, Omaimah, et al.. (2020). Real-Time DDoS flood Attack Monitoring and Detection (RT-AMD) Model for Cloud Computing. 1–5. 2 indexed citations

11.

Munshi, Asmaa, et al.. (2020). DDOS Attack on IOT Devices. 1–5. 26 indexed citations

12.

Nilashi, Mehrbakhsh, Hossein Ahmadi, Abbas Sheikhtaheri, et al.. (2020). Remote tracking of Parkinson's Disease progression using ensembles of Deep Belief Network and Self-Organizing Map. Expert Systems with Applications. 159. 113562–113562. 54 indexed citations

13.

Yousaf, Kanwal, Zahid Mehmood, Tanzila Saba, et al.. (2019). Mobile-Health Applications for the Efficient Delivery of Health Care Facility to People with Dementia (PwD) and Support to Their Carers: A Survey. BioMed Research International. 2019. 1–26. 74 indexed citations

14.

Munshi, Asmaa, et al.. (2019). Employee Attendance Monitoring System by Applying the Concept of Enterprise Resource Planning (ERP). International Journal of Education and Management Engineering. 9(5). 1–9. 4 indexed citations

15.

Munshi, Asmaa. (2019). Quran Courses Application. International Journal of Education and Management Engineering. 9(6). 1–10. 1 indexed citations

16.

Aljojo, Nahla, et al.. (2019). The design and implementation of an Arabic pronunciation application for early childhood. Journal of Technology and Science Education. 9(2). 136–136. 14 indexed citations

17.

Ghazanfar, Mustansar Ali, et al.. (2019). Modeling user rating preference behavior to improve the performance of the collaborative filtering based recommender systems. PLoS ONE. 14(8). e0220129–e0220129. 31 indexed citations

18.

Almukadi, Wafa Sulaiman, Nahla Aljojo, & Asmaa Munshi. (2019). The Use of Tangible User Interface in Interactive System to Learn about Countries. International Journal of Emerging Technologies in Learning (iJET). 14(4). 142–142. 3 indexed citations

19.

Ilyas, Muhammad, Muhammad Murtaza Khan, Hayder Radha, Ahmed Saeed AlGhamdi, & Asmaa Munshi. (2019). An Analytical Model of the Small World Effect in D2D Wireless Networks. IEEE Access. 7. 35661–35672. 2 indexed citations

20.

Aljojo, Nahla, et al.. (2018). Arabic Alphabetic Puzzle Game Using Eye Tracking and Chatbot for Dyslexia. International Journal of Interactive Mobile Technologies (iJIM). 12(5). 58–58. 11 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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