Mohammad Shabaz

5.7k total citations · 4 hit papers
162 papers, 2.7k citations indexed

About

Mohammad Shabaz is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mohammad Shabaz has authored 162 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Artificial Intelligence, 37 papers in Computer Networks and Communications and 31 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mohammad Shabaz's work include IoT and Edge/Fog Computing (16 papers), Network Security and Intrusion Detection (10 papers) and Blockchain Technology Applications and Security (9 papers). Mohammad Shabaz is often cited by papers focused on IoT and Edge/Fog Computing (16 papers), Network Security and Intrusion Detection (10 papers) and Blockchain Technology Applications and Security (9 papers). Mohammad Shabaz collaborates with scholars based in India, Saudi Arabia and China. Mohammad Shabaz's co-authors include Gaurav Dhiman, Aditya Khamparia, Sagar Dhanraj Pande, Parneet Singh, Jyoti Bhola, Sparsh Sharma, Ming Yang, Pawan Kumar, Amanpreet Kaur and Tarun Kumar Lohani and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Mohammad Shabaz

142 papers receiving 2.5k citations

Hit Papers

Prediction of Heart Disease Using a Combination of Machin... 2021 2026 2022 2024 2021 2021 2024 2024 100 200 300
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.

  1. Prediction of Heart Disease Using a Combination of Machine Learning and Deep Learning
    2021 331 citations Mohammad Shabaz et al. profile →
  2. Application of Blockchain and Internet of Things in Healthcare and Medical Sector: Applications, Challenges, and Future Perspectives
    2021 157 citations Mohammad Shabaz et al. profile →
  3. A Resource-Aware Multi-Graph Neural Network for Urban Traffic Flow Prediction in Multi-Access Edge Computing Systems
    2024 58 citations Ahmad Ali, Inam Ullah et al. IEEE Transactions on Consumer Electronics profile →
  4. Visionary vigilance: Optimized YOLOV8 for fallen person detection with large-scale benchmark dataset
    2024 55 citations Habib Ullah Khan, Inam Ullah et al. Image and Vision Computing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Shabaz India 28 698 583 511 343 298 162 2.7k
Kuruva Lakshmanna India 23 876 1.3× 646 1.1× 335 0.7× 420 1.2× 258 0.9× 51 2.7k
Kavita Kavita India 29 549 0.8× 835 1.4× 656 1.3× 335 1.0× 133 0.4× 157 2.7k
R. Manikandan India 27 687 1.0× 585 1.0× 388 0.8× 327 1.0× 115 0.4× 148 2.2k
Mabrook Al‐Rakhami Saudi Arabia 28 628 0.9× 549 0.9× 555 1.1× 247 0.7× 161 0.5× 75 2.2k
Dharmendra Singh Rajput India 17 776 1.1× 298 0.5× 246 0.5× 290 0.8× 271 0.9× 95 2.1k
Sahil Verma India 30 618 0.9× 1.0k 1.7× 704 1.4× 354 1.0× 138 0.5× 123 2.8k
Aditya Khamparia India 27 1.2k 1.7× 427 0.7× 477 0.9× 357 1.0× 445 1.5× 94 3.0k
Sachin Kumar India 25 1.0k 1.5× 563 1.0× 459 0.9× 447 1.3× 130 0.4× 122 3.1k
Muhammad Umer Pakistan 30 1.1k 1.6× 275 0.5× 436 0.9× 324 0.9× 275 0.9× 115 2.5k
Umesh Kumar Lilhore India 20 529 0.8× 539 0.9× 325 0.6× 148 0.4× 177 0.6× 133 1.8k

Countries citing papers authored by Mohammad Shabaz

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Shabaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Shabaz

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Shabaz. A scholar is included among the top collaborators of Mohammad Shabaz 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 Mohammad Shabaz. Mohammad Shabaz 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.
Sharma, Anshika, Shalli Rani, & Mohammad Shabaz. (2025). A comprehensive review of explainable AI in cybersecurity: Decoding the black box. ICT Express. 11(6). 1200–1219.
2.
Kaur, A., Shalli Rani, & Mohammad Shabaz. (2025). Underwater image dehazing using a hybrid GAN with bottleneck attention and improved Retinex-based optimization. Scientific Reports. 15(1). 26132–26132. 1 indexed citations
3.
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5.
Bhatti, Uzair Aslam, et al.. (2025). HFMamba: An Advanced Coastal Paradigm for Hyperspectral Image Analysis in Consumer-Driven Agricultural Remote Sensing. IEEE Transactions on Consumer Electronics. 72(1). 1504–1513.
6.
Byeon, Haewon, et al.. (2025). Lightweight AI and Blockchain Optimization for Enhancing Consumer Electronics Decision-Making. IEEE Transactions on Consumer Electronics. 71(2). 6007–6015. 2 indexed citations
7.
Saleem, Muhammad Asim, Shijie Zhou, Fengli Zhang, et al.. (2025). Delay, Energy, and Outage Considerations in GenAI-Enhanced MEC-NOMA-Enabled Vehicular Networks. IEEE Transactions on Intelligent Transportation Systems. 1–15. 4 indexed citations
8.
Khan, Habib Ullah, et al.. (2024). Visionary vigilance: Optimized YOLOV8 for fallen person detection with large-scale benchmark dataset. Image and Vision Computing. 149. 105195–105195. 55 indexed citations breakdown →
9.
Byeon, Haewon, et al.. (2024). Feature fusion-based food protein subcellular prediction for drug composition. Food Chemistry. 454. 139747–139747. 5 indexed citations
10.
Ameta, Gaurav, Ihtiram Raza Khan, Renato R. Maaliw, et al.. (2024). Knowledge‐based deep learning system for classifying Alzheimer's disease for multi‐task learning. CAAI Transactions on Intelligence Technology. 9(4). 805–820. 9 indexed citations
11.
Khan, Muhammad Attique, et al.. (2024). BrainNet: a fusion assisted novel optimal framework of residual blocks and stacked autoencoders for multimodal brain tumor classification. Scientific Reports. 14(1). 5895–5895. 25 indexed citations
12.
Singh, Saravjeet, et al.. (2024). Deep learning for ancient scripts recognition: A CapsNet-LSTM based approach. Alexandria Engineering Journal. 103. 169–179. 4 indexed citations
13.
Byeon, Haewon, et al.. (2024). Wearable sensor technology and medical robotics for fatigue assessment using electromyography signal processing. Signal Image and Video Processing. 18(12). 8767–8780. 2 indexed citations
14.
Naseem, Mohd, et al.. (2024). An architectural view of VANETs cloud: its models, services, applications and challenges. International Journal of Web and Grid Services. 20(3). 292–341. 1 indexed citations
15.
Ali, Ahmad, Inam Ullah, Mohammad Shabaz, et al.. (2024). A Resource-Aware Multi-Graph Neural Network for Urban Traffic Flow Prediction in Multi-Access Edge Computing Systems. IEEE Transactions on Consumer Electronics. 70(4). 7252–7265. 58 indexed citations breakdown →
16.
Byeon, Haewon, Mohammad Shabaz, Anjali Joshi, et al.. (2023). Deep learning model to detect deceptive generative adversarial network generated images using multimedia forensic. Computers & Electrical Engineering. 113. 109024–109024. 9 indexed citations
17.
Gupta, Ankur, et al.. (2023). Proxy smart contracts for zero trust architecture implementation in Decentralised Oracle Networks based applications. Computer Communications. 206. 10–21. 15 indexed citations
18.
Hussain, Altaf, Samee U. Khan, Noman Khan, Mohammad Shabaz, & Sung Wook Baik. (2023). AI-driven behavior biometrics framework for robust human activity recognition in surveillance systems. Engineering Applications of Artificial Intelligence. 127. 107218–107218. 22 indexed citations
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20.
Jagota, Vishal, et al.. (2021). A Secure Energy-Aware Game Theory (SEGaT) Mechanism for Coordination in WSANs. International Journal of Swarm Intelligence Research. 13(2). 1–16. 23 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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