Shakila Basheer

1.6k total citations
81 papers, 839 citations indexed

About

Shakila Basheer is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Shakila Basheer has authored 81 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 21 papers in Computer Networks and Communications and 19 papers in Electrical and Electronic Engineering. Recurrent topics in Shakila Basheer's work include Artificial Intelligence in Healthcare (12 papers), IoT and Edge/Fog Computing (9 papers) and Vehicular Ad Hoc Networks (VANETs) (6 papers). Shakila Basheer is often cited by papers focused on Artificial Intelligence in Healthcare (12 papers), IoT and Edge/Fog Computing (9 papers) and Vehicular Ad Hoc Networks (VANETs) (6 papers). Shakila Basheer collaborates with scholars based in Saudi Arabia, India and United Kingdom. Shakila Basheer's co-authors include Surbhi Bhatia, Sapiah Sakri, Ali Kashif Bashir, Gourav Bathla, Rahul Kumar Singh, Chiranji Lal Chowdhary, Kishor V. Bhadane, Rajanikanth Aluvalu, Adarsh Kumar and Rajalakshmi Krishnamurthi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Shakila Basheer

69 papers receiving 782 citations

Peers

Shakila Basheer

CNC

EEE

CVPR

K. Vijayakumar India

Baijnath Kaushik India

Omar Bouattane Morocco

Sandeep Kautish India

Chee‐Onn Chow Malaysia

Zeyad Ghaleb Al-Mekhlafi Saudi Arabia

Badiea Abdulkarem Mohammed Saudi Arabia

Ahmad Ali AlZubi Saudi Arabia

A. Prasanth India

Abdulmajeed Alsufyani Saudi Arabia

K. Vijayakumar India

Shakila Basheer

244 ×1.1

CNC

342 ×1.5

124 ×0.8

EEE

194 ×1.5

106 ×1.0

CVPR

Citations per year, relative to Shakila Basheer Shakila Basheer (= 1×) peers K. Vijayakumar

Countries citing papers authored by Shakila Basheer

Since Specialization

Citations

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

Fields of papers citing papers by Shakila Basheer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shakila Basheer

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

Guo, Kefeng, Ali Nauman, Muhammad Ali Jamshed, et al.. (2025). Covert Communications for Energy-Efficient ISTRNs With Opportunistic Scheduling and Cooperative Jamming. IEEE Transactions on Green Communications and Networking. 9(4). 1837–1850. 2 indexed citations

Singh, Kamaljit, Virat Khanna, Surjeet Chahal, et al.. (2025). MXene as electrodes for energy storage: applications in batteries & supercapacitors. Journal of Materials Science Materials in Electronics. 36(36).

Basha, Syed Muzamil, et al.. (2025). Empowering Consumer Healthcare Through Sensor-Rich Devices Using Federated Learning for Secure Resource Recommendation. IEEE Transactions on Consumer Electronics. 71(1). 1563–1570. 2 indexed citations

Basheer, Shakila, Ghadah Aldehim, Ala Saleh Alluhaidan, & Sapiah Sakri. (2024). Improving mental dysfunction detection from EEG signals: Self-contrastive learning and multitask learning with transformers. Alexandria Engineering Journal. 106. 52–59. 7 indexed citations

Alluhaidan, Ala Saleh, et al.. (2024). Integrated hybrid membrane system for enhanced water treatment and desalination for environmental preservation. Desalination and Water Treatment. 320. 100722–100722. 4 indexed citations

Alkahtani, Hend Khalid, et al.. (2024). Smart Healthcare Activity Recognition Using Statistical Regression and Intelligent Learning. Computers, materials & continua/Computers, materials & continua (Print). 78(1). 1189–1205. 2 indexed citations

Sakri, Sapiah, et al.. (2024). An Improved Concatenation of Deep Learning Models for Predicting and Interpreting Ischemic Stroke. IEEE Access. 12. 53189–53204. 2 indexed citations

Alluhaidan, Ala Saleh, Mamoon Rashid, Ghadah Aldehim, Shakila Basheer, & Sapiah Sakri. (2024). Efficient Deep Learning Model for Detecting Dyslexia in Children from an Online Gamified Test Dataset. SHILAP Revista de lepidopterología. 3(8). 1 indexed citations

Quadir, Abdul, et al.. (2023). Deep Reinforcement Learning for Vision-Based Navigation of UAVs in Avoiding Stationary and Mobile Obstacles. Drones. 7(4). 245–245. 38 indexed citations

10.

Basheer, Shakila, et al.. (2023). Wireless Sensor Networks Based on Multi-Criteria Clustering and Optimal Bio-Inspired Algorithm for Energy-Efficient Routing. Applied Sciences. 13(5). 2801–2801. 12 indexed citations

11.

Chowdhary, Chiranji Lal, et al.. (2023). Non-Gaussian Traffic Modeling for Multicore Architecture Using Wavelet Based Rosenblatt Process. IEEE Access. 11. 38523–38533. 2 indexed citations

12.

Gupta, Gaurav, et al.. (2023). Techniques Based on Metaheuristics Combined with an Adaptive Neurofuzzy System and Seismic Sensors for the Prediction of Earthquakes. Journal of Sensors. 2023(1). 3 indexed citations

13.

Bharanidharan, N., et al.. (2023). A Deep Learning Framework with an Intermediate Layer Using the Swarm Intelligence Optimizer for Diagnosing Oral Squamous Cell Carcinoma. Diagnostics. 13(22). 3461–3461. 12 indexed citations

14.

Basheer, Shakila, et al.. (2023). Predicting Alzheimer’s Disease Using Deep Neuro-Functional Networks with Resting-State fMRI. Electronics. 12(4). 1031–1031. 27 indexed citations

15.

Gupta, Gaurav, et al.. (2022). Internet of Things‐Based Crop Classification Model Using Deep Learning for Indirect Solar Drying. Wireless Communications and Mobile Computing. 2022(1). 16 indexed citations

16.

Shaukat, Kamran, Talha Mahboob Alam, Ibrahim A. Hameed, et al.. (2022). A Proposed Framework for Early Prediction of Schistosomiasis. Diagnostics. 12(12). 3138–3138. 20 indexed citations

17.

Bathla, Gourav, Kishor V. Bhadane, Rahul Kumar Singh, et al.. (2022). Autonomous Vehicles and Intelligent Automation: Applications, Challenges, and Opportunities. Mobile Information Systems. 2022. 1–36. 123 indexed citations

18.

Sengan, Sudhakar, Abolfazl Mehbodniya, Surbhi Bhatia, et al.. (2022). Echocardiographic Image Segmentation for Diagnosing Fetal Cardiac Rhabdomyoma During Pregnancy Using Deep Learning. IEEE Access. 10. 114077–114091. 5 indexed citations

19.

Basheer, Shakila, et al.. (2021). FESD: An Approach for Biometric Human Footprint Matching Using Fuzzy Ensemble Learning. IEEE Access. 9. 26641–26663. 24 indexed citations

20.

Javed, Muhammad Awais, et al.. (2019). Fog-Assisted Cooperative Protocol for Traffic Message Transmission in Vehicular Networks. IEEE Access. 7. 166148–166156. 30 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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