Muhammad Shahid Anwar

1.7k total citations · 2 hit papers
103 papers, 886 citations indexed

About

Muhammad Shahid Anwar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Muhammad Shahid Anwar has authored 103 papers receiving a total of 886 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 27 papers in Artificial Intelligence and 16 papers in Computer Networks and Communications. Recurrent topics in Muhammad Shahid Anwar's work include Virtual Reality Applications and Impacts (10 papers), Face and Expression Recognition (8 papers) and Image and Video Quality Assessment (8 papers). Muhammad Shahid Anwar is often cited by papers focused on Virtual Reality Applications and Impacts (10 papers), Face and Expression Recognition (8 papers) and Image and Video Quality Assessment (8 papers). Muhammad Shahid Anwar collaborates with scholars based in South Korea, Pakistan and Saudi Arabia. Muhammad Shahid Anwar's co-authors include Sadique Ahmad, Khursheed Aurangzeb, Wahab Khan, Asad Ullah, Jing Wang, Zesong Fei, Musaed Alhussein, Inam Ullah, Javed Ali Khan and Ahyoung Choi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Muhammad Shahid Anwar

84 papers receiving 847 citations

Hit Papers

Mobile robot localization: Current challenges and future ... 2024 2026 2025 2024 2025 10 20 30 40

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Shahid Anwar South Korea 17 306 187 145 107 93 103 886
Abdulaziz S. Almazyad Saudi Arabia 13 184 0.6× 166 0.9× 82 0.6× 49 0.5× 57 0.6× 67 560
Ghazanfar Latif Saudi Arabia 20 504 1.6× 304 1.6× 89 0.6× 184 1.7× 43 0.5× 83 1.3k
Tamara Al Shloul United Arab Emirates 19 253 0.8× 207 1.1× 199 1.4× 58 0.5× 134 1.4× 36 851
Saleh Basalamah Saudi Arabia 18 409 1.3× 306 1.6× 130 0.9× 60 0.6× 42 0.5× 73 1.0k
Igi Ardiyanto Indonesia 15 348 1.1× 310 1.7× 42 0.3× 61 0.6× 47 0.5× 142 945
Hani Alquhayz Saudi Arabia 17 130 0.4× 318 1.7× 196 1.4× 13 0.1× 141 1.5× 55 915
Mohib Ullah Norway 19 566 1.8× 415 2.2× 155 1.1× 53 0.5× 60 0.6× 105 1.2k
Jaafar Alghazo Saudi Arabia 18 282 0.9× 182 1.0× 94 0.6× 165 1.5× 34 0.4× 63 994
Xiaoyan Kui China 18 209 0.7× 250 1.3× 362 2.5× 23 0.2× 243 2.6× 102 943
Huajie Shao United States 18 325 1.1× 436 2.3× 315 2.2× 78 0.7× 367 3.9× 53 1.1k

Countries citing papers authored by Muhammad Shahid Anwar

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Shahid Anwar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Shahid Anwar. 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 Muhammad Shahid Anwar. The network helps show where Muhammad Shahid Anwar may publish in the future.

Co-authorship network of co-authors of Muhammad Shahid Anwar

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Shahid Anwar. A scholar is included among the top collaborators of Muhammad Shahid Anwar 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 Muhammad Shahid Anwar. Muhammad Shahid Anwar 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
2.
Tahir, Muhammad Usman, et al.. (2025). Incentive-Driven Federated Learning for Collaborative Agricultural Consumer Electronics. IEEE Transactions on Consumer Electronics. 71(3). 8582–8593.
4.
Alhussein, Musaed, et al.. (2025). Quantum Inspired Adaptive Resource Management Algorithm for Scalable and Energy Efficient Fog Computing in Internet of Things (IoT). Computer Modeling in Engineering & Sciences. 142(3). 2641–2660. 3 indexed citations
5.
Asif, Arif, et al.. (2025). Solar Energy Utilization of Radiative Implication of Trihybrid Xue‐Modeled Nanofluid Flow for Oblique Stagnation Point Flows. International Journal of Differential Equations. 2025(1).
7.
Haq, Qazi Mazhar ul, et al.. (2025). Ball Bearing Fault Diagnosis Based on Hybrid Adversarial Learning. IEEE Access. 13. 74163–74174. 1 indexed citations
8.
Anwar, Muhammad Shahid, et al.. (2025). Gamified Immersive Learning and User Experience Evaluation of Metaverse-Based Cultural Heritage Education. 44–52. 1 indexed citations
9.
Laghari, Asif Ali, Vania V. Estrela, Hang Li, et al.. (2024). Quality of experience assessment in virtual/augmented reality serious games for healthcare: A systematic literature review. Technology and Disability. 36(1-2). 17–28. 5 indexed citations
10.
Ullah, Khalil, et al.. (2024). Pashto poetry generation: deep learning with pre-trained transformers for low-resource languages. PeerJ Computer Science. 10. e2163–e2163.
11.
Zahid, Muhammad Noaman, et al.. (2024). A Comprehensive Study of Chipless RFID Sensors for Healthcare Applications. IEEE Access. 12. 175647–175665. 2 indexed citations
12.
Aurangzeb, Khursheed, et al.. (2024). Identification of biological markers in cancer disease using explainable artificial intelligence. International Journal of Imaging Systems and Technology. 34(2). 1 indexed citations
13.
Alhussein, Musaed, et al.. (2024). AI-Driven Resource and Communication-Aware Virtual Machine Placement Using Multi-Objective Swarm Optimization for Enhanced Efficiency in Cloud-Based Smart Manufacturing. Computers, materials & continua/Computers, materials & continua (Print). 81(3). 4743–4756. 1 indexed citations
14.
Shah, Ibrar Ali, et al.. (2024). Energy-Efficient Task Scheduling Using Fault Tolerance Technique for IoT Applications in Fog Computing Environment. IEEE Internet of Things Journal. 11(24). 39009–39019. 4 indexed citations
15.
Iqbal, Saeed, Adnan N. Qureshi, Khursheed Aurangzeb, et al.. (2024). Adaptive magnification network for precise tumor analysis in histopathological images. Computers in Human Behavior. 156. 108222–108222. 8 indexed citations
16.
Yasin, Affan, Sheikh Badar ud din Tahir, Jaroslav Frnda, et al.. (2023). Anomaly Prediction over Human Crowded Scenes via Associate‐Based Data Mining and K‐Ary Tree Hashing. International Journal of Intelligent Systems. 2023(1). 3 indexed citations
17.
Tahir, Muhammad Atif, et al.. (2023). NeuPD—A Neural Network-Based Approach to Predict Antineoplastic Drug Response. Diagnostics. 13(12). 2043–2043. 6 indexed citations
18.
Iqbal, Saeed, Adnan N. Qureshi, Musaed Alhussein, Khursheed Aurangzeb, & Muhammad Shahid Anwar. (2023). AD-CAM: Enhancing Interpretability of Convolutional Neural Networks With a Lightweight Framework - From Black Box to Glass Box. IEEE Journal of Biomedical and Health Informatics. 28(1). 514–525. 17 indexed citations
19.
Alhussein, Musaed, et al.. (2023). Robust Approach for Global Stabilization of a Class of Underactuated Mechanical Systems in Presence of Uncertainties. Complexity. 2023. 1–21. 3 indexed citations
20.
Khan, Wahab, Hua Wang, Muhammad Shahid Anwar, et al.. (2019). A Multi-Layer Cluster Based Energy Efficient Routing Scheme for UWSNs. IEEE Access. 7. 77398–77410. 74 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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