Leila Ismail

2.9k total citations · 1 hit paper
90 papers, 1.7k citations indexed

About

Leila Ismail is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Leila Ismail has authored 90 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Computer Networks and Communications, 42 papers in Information Systems and 15 papers in Artificial Intelligence. Recurrent topics in Leila Ismail's work include IoT and Edge/Fog Computing (27 papers), Blockchain Technology Applications and Security (22 papers) and Cloud Computing and Resource Management (17 papers). Leila Ismail is often cited by papers focused on IoT and Edge/Fog Computing (27 papers), Blockchain Technology Applications and Security (22 papers) and Cloud Computing and Resource Management (17 papers). Leila Ismail collaborates with scholars based in United Arab Emirates, Australia and United Kingdom. Leila Ismail's co-authors include Huned Materwala, Sherali Zeadally, Juma Al Kaabi, Daniel Hagimont, Rajkumar Buyya, Achim P. Karduck, Fida K. Dankar, Maryam Tayefi, Abdu Adem and Abbas A. Fardoun and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Leila Ismail

83 papers receiving 1.6k citations

Hit Papers

Association of risk factors with type 2 diabetes: A syste... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leila Ismail United Arab Emirates 21 791 739 331 193 158 90 1.7k
Muhammad Fermi Pasha Malaysia 17 544 0.7× 442 0.6× 346 1.0× 181 0.9× 105 0.7× 71 1.4k
Bahar Farahani Iran 15 638 0.8× 950 1.3× 328 1.0× 231 1.2× 104 0.7× 50 1.7k
Huned Materwala United Arab Emirates 15 578 0.7× 423 0.6× 165 0.5× 100 0.5× 122 0.8× 32 1.0k
Rachid Benlamri Canada 20 632 0.8× 349 0.5× 345 1.0× 167 0.9× 66 0.4× 78 1.3k
Anichur Rahman Bangladesh 22 538 0.7× 690 0.9× 455 1.4× 195 1.0× 65 0.4× 63 1.6k
Farshad Firouzi United States 19 522 0.7× 831 1.1× 274 0.8× 619 3.2× 102 0.6× 74 1.9k
Hafiz Farooq Ahmad Pakistan 20 826 1.0× 704 1.0× 836 2.5× 119 0.6× 139 0.9× 146 2.0k
Lalit Garg Malta 22 417 0.5× 269 0.4× 321 1.0× 99 0.5× 77 0.5× 124 1.8k
Rahmat Budiarto Malaysia 16 313 0.4× 838 1.1× 647 2.0× 199 1.0× 99 0.6× 205 1.7k
Zon‐Yin Shae United States 16 573 0.7× 497 0.7× 262 0.8× 98 0.5× 31 0.2× 63 1.1k

Countries citing papers authored by Leila Ismail

Since Specialization
Citations

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

Fields of papers citing papers by Leila Ismail

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leila Ismail

This figure shows the co-authorship network connecting the top 25 collaborators of Leila Ismail. A scholar is included among the top collaborators of Leila Ismail 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 Leila Ismail. Leila Ismail 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.
Osaili, Tareq M., Ahmed M. Almehdi, Leila Ismail, et al.. (2025). Quality and authenticity of animal and vegetable fats imported to the United Arab Emirates. Journal of Agriculture and Food Research. 24. 102507–102507.
2.
Rodriguez, Maria A., et al.. (2025). Efficient Training Approaches for Performance Anomaly Detection Models in Edge Computing Environments. ACM Transactions on Autonomous and Adaptive Systems. 20(2). 1–27.
4.
Ismail, Leila, Huned Materwala, & Fida K. Dankar. (2024). Machine Learning Data-Driven Residential Load Multi-Level Forecasting With Univariate and Multivariate Time Series Models Toward Sustainable Smart Homes. IEEE Access. 12. 55632–55668. 5 indexed citations
5.
6.
Ali, Habiba I., et al.. (2023). Validity and Reliability of the Arabic Version of the Three-Factor Eating Questionnaire-R18. Heliyon. 9(7). e17623–e17623. 7 indexed citations
7.
Elbarazi, Iffat, et al.. (2022). Influence of Religiosity on Youths’ Attitudes Towards People with Disabilities in the United Arab Emirates. Journal of Religion and Health. 63(3). 2423–2442. 5 indexed citations
8.
Chomutare, Taridzo, Miguel Tejedor, Luis Marco-Ruiz, et al.. (2022). Artificial Intelligence Implementation in Healthcare: A Theory-Based Scoping Review of Barriers and Facilitators. International Journal of Environmental Research and Public Health. 19(23). 16359–16359. 74 indexed citations
9.
Ismail, Leila, Huned Materwala, Maryam Tayefi, Phuong Thao Thi Ngo, & Achim P. Karduck. (2021). Type 2 Diabetes with Artificial Intelligence Machine Learning: Methods and Evaluation. Archives of Computational Methods in Engineering. 29(1). 313–333. 38 indexed citations
10.
Ismail, Leila & Huned Materwala. (2021). ESCOVE: Energy-SLA-Aware Edge–Cloud Computation Offloading in Vehicular Networks. Sensors. 21(15). 5233–5233. 12 indexed citations
11.
Ismail, Leila, et al.. (2021). A Scoping Review of Integrated Blockchain-Cloud (BcC) Architecture for Healthcare: Applications, Challenges and Solutions. Sensors. 21(11). 3753–3753. 39 indexed citations
12.
Ismail, Leila, Huned Materwala, Maryam Tayefi, Phuong Thao Thi Ngo, & Achim P. Karduck. (2021). Correction to: Type 2 Diabetes with Artificial Intelligence Machine Learning: Methods and Evaluation. Archives of Computational Methods in Engineering. 28(7). 5039–5039. 2 indexed citations
13.
Ismail, Leila & Huned Materwala. (2020). Computing Server Power Modeling in a Data Center. ACM Computing Surveys. 53(3). 1–34. 33 indexed citations
14.
Ismail, Leila, Huned Materwala, Achim P. Karduck, & Abdu Adem. (2020). Requirements of Health Data Management Systems for Biomedical Care and Research: Scoping Review. Journal of Medical Internet Research. 22(7). e17508–e17508. 61 indexed citations
15.
Ismail, Leila & Huned Materwala. (2020). Blockchain Paradigm for Healthcare: Performance Evaluation. Symmetry. 12(8). 1200–1200. 37 indexed citations
16.
Ismail, Leila, Huned Materwala, & Sherali Zeadally. (2019). Lightweight Blockchain for Healthcare. IEEE Access. 7. 149935–149951. 165 indexed citations
17.
Ismail, Leila & Huned Materwala. (2019). A Review of Blockchain Architecture and Consensus Protocols: Use Cases, Challenges, and Solutions. Symmetry. 11(10). 1198–1198. 145 indexed citations
18.
Ismail, Leila & Huned Materwala. (2018). Energy-Aware VM Placement and Task Scheduling in Cloud-IoT Computing: Classification and Performance Evaluation. IEEE Internet of Things Journal. 5(6). 5166–5176. 34 indexed citations
19.
Ismail, Leila. (2012). A Ring-Based Parallel Oil Reservoir Simulator. Scalable Computing Practice and Experience. 13(1). 85–98. 2 indexed citations
20.
Ismail, Leila, et al.. (2008). A Formal Model of Dynamic Resource Allocation in Grid Computing Environment. 685–693. 18 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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