Rasha Kashef

2.1k total citations · 1 hit paper
73 papers, 1.2k citations indexed

About

Rasha Kashef is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Rasha Kashef has authored 73 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Information Systems, 22 papers in Computer Networks and Communications and 22 papers in Artificial Intelligence. Recurrent topics in Rasha Kashef's work include Network Security and Intrusion Detection (13 papers), Blockchain Technology Applications and Security (9 papers) and Anomaly Detection Techniques and Applications (8 papers). Rasha Kashef is often cited by papers focused on Network Security and Intrusion Detection (13 papers), Blockchain Technology Applications and Security (9 papers) and Anomaly Detection Techniques and Applications (8 papers). Rasha Kashef collaborates with scholars based in Canada, United States and Serbia. Rasha Kashef's co-authors include Dina Nawara, Ahmed Ibrahim, Mahsa Ebrahimian, Zahra Karami, A. S. Diab, Ahmed Shaker, Farah Mohammadi, Eric Huang, Esteban Valencia and Muhammad Jaseemuddin and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Rasha Kashef

68 papers receiving 1.2k 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.

Recommendation Systems: Algorithms, Challenges, Metrics, and Business Opportunities

2020 196 citations Dina Nawara, Ahmed Ibrahim et al. Applied Sciences profile →

Peers

Rasha Kashef

AI

IS

CNC

CVPR

MSOR

Emmanuel Gbenga Dada Nigeria

Ezz El‐Din Hemdan Egypt

Mohammad Shahadat Hossain Bangladesh

Dharavath Ramesh India

Mario Köppen Japan

Guy Shani Israel

Jagendra Singh India

Subhendu Kumar Pani India

Sudan Jha India

BalaAnand Muthu China

Emmanuel Gbenga Dada Nigeria

Rasha Kashef

415 ×1.2

AI

292 ×0.9

IS

206 ×1.0

CNC

131 ×0.9

CVPR

53 ×0.4

MSOR

Citations per year, relative to Rasha Kashef Rasha Kashef (= 1×) peers Emmanuel Gbenga Dada

Countries citing papers authored by Rasha Kashef

Since Specialization

Citations

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

Fields of papers citing papers by Rasha Kashef

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rasha Kashef

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

1.

Fernando, Xavier, et al.. (2025). Survey of Blockchain-Based Applications for IoT. Applied Sciences. 15(8). 4562–4562. 3 indexed citations

2.

Nawara, Dina & Rasha Kashef. (2025). A dual-phase framework for detecting authentic and computer-generated customer reviews using large language models. Decision Analytics Journal. 15. 100581–100581. 1 indexed citations

3.

Fernando, Xavier, et al.. (2024). A Survey on Artificial-Intelligence-Based Internet of Vehicles Utilizing Unmanned Aerial Vehicles. Drones. 8(8). 353–353. 6 indexed citations

4.

Kashef, Rasha, et al.. (2024). Network Intrusion Detection Using a Stacking of AI-driven Models with Sampling. 157–164. 1 indexed citations

5.

Kashef, Rasha, et al.. (2024). Towards explainable artificial intelligence in deep vision-based odometry. Computers & Electrical Engineering. 115. 109127–109127. 6 indexed citations

6.

Kashef, Rasha, et al.. (2024). Automated Waste Management using a Customized Vision-based Transformer Model. 300–309. 2 indexed citations

7.

Ibrahim, Ahmed, et al.. (2024). A survey on augmenting knowledge graphs (KGs) with large language models (LLMs): models, evaluation metrics, benchmarks, and challenges. SHILAP Revista de lepidopterología. 4(1). 22 indexed citations

8.

Kashef, Rasha, et al.. (2023). TS-IDS: Traffic-aware self-supervised learning for IoT Network Intrusion Detection. Knowledge-Based Systems. 279. 110966–110966. 39 indexed citations

9.

Kashef, Rasha, et al.. (2023). Automatic Post-Stroke Severity Assessment Using Novel Unsupervised Consensus Learning for Wearable and Camera-Based Sensor Datasets. Sensors. 23(12). 5513–5513. 6 indexed citations

10.

Kashef, Rasha, et al.. (2023). IoTBChain: Adopting Blockchain Technology to Increase PLC Resilience in an IoT Environment. Information. 14(8). 437–437. 7 indexed citations

11.

Kashef, Rasha, et al.. (2023). Post-Stroke Virtual Assessment Using Deep Learning. 116–117.

12.

Kashef, Rasha, et al.. (2023). Traffic Collision Detection Using DenseNet. 928–933.

13.

Kashef, Rasha, et al.. (2023). A novel machine learning model with Stacking Ensemble Learner for predicting emergency readmission of heart-disease patients. Decision Analytics Journal. 7. 100242–100242. 56 indexed citations

14.

Diab, A. S., Rasha Kashef, & Ahmed Shaker. (2022). Deep Learning for LiDAR Point Cloud Classification in Remote Sensing. Sensors. 22(20). 7868–7868. 43 indexed citations

15.

Kashef, Rasha, et al.. (2022). The Future Roadmap for Cyber-attack Detection. 66–70. 4 indexed citations

16.

Nawara, Dina & Rasha Kashef. (2022). MCARS-CC: A Salable Multicontext-Aware Recommender System. IEEE Transactions on Computational Social Systems. 11(1). 612–624. 4 indexed citations

17.

Kashef, Rasha, et al.. (2021). Deep Learning-Based Semantic Segmentation in Autonomous Driving. 1367–1373. 5 indexed citations

18.

Kashef, Rasha, et al.. (2021). Assessing Stroke Patients Movements Using Inertial Measurements Through the Advances of Ensemble Learning Technology. 1482–1489. 5 indexed citations

19.

Kashef, Rasha, et al.. (2020). Business Applications for Current Developments in Big Data Clustering: An Overview. 195–199. 7 indexed citations

20.

Kashef, Rasha, et al.. (2020). Trust-Based Collaborative Filtering Recommendation Systems on the Blockchain. 10(4). 37–56. 24 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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