Muhammad Zakarya

2.8k total citations · 4 hit papers
72 papers, 1.9k citations indexed

About

Muhammad Zakarya is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Muhammad Zakarya has authored 72 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Networks and Communications, 27 papers in Information Systems and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Muhammad Zakarya's work include Cloud Computing and Resource Management (23 papers), Distributed and Parallel Computing Systems (14 papers) and IoT and Edge/Fog Computing (13 papers). Muhammad Zakarya is often cited by papers focused on Cloud Computing and Resource Management (23 papers), Distributed and Parallel Computing Systems (14 papers) and IoT and Edge/Fog Computing (13 papers). Muhammad Zakarya collaborates with scholars based in Pakistan, United Kingdom and Oman. Muhammad Zakarya's co-authors include Ahmad Ali, Yanmin Zhu, Rahim Khan, Ayaz Ali Khan, Lee Gillam, Izaz Ur Rahman, Rajkumar Buyya, Mukhtaj Khan, Varun G. Menon and Venki Balasubramanian and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Scientific Reports.

In The Last Decade

Muhammad Zakarya

69 papers receiving 1.8k citations

Hit Papers

Exploiting dynamic spatio-temporal graph convolutional ne... 2021 2026 2022 2024 2021 2021 2021 2022 50 100 150 200 250
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. Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction
    2021 258 citations Ahmad Ali, Muhammad Zakarya et al. profile →
  2. Exploiting dynamic spatio-temporal correlations for citywide traffic flow prediction using attention based neural networks
    2021 178 citations Ahmad Ali, Muhammad Zakarya et al. profile →
  3. A data aggregation based approach to exploit dynamic spatio-temporal correlations for citywide crowd flows prediction in fog computing
    2021 162 citations Ahmad Ali, Muhammad Zakarya et al. profile →
  4. An Industrial IoT-Based Blockchain-Enabled Secure Searchable Encryption Approach for Healthcare Systems Using Neural Network
    2022 139 citations Rahim Khan, Muhammad Zakarya et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Zakarya Pakistan 22 843 622 436 265 247 72 1.9k
Rizwan Patan India 25 992 1.2× 412 0.7× 483 1.1× 107 0.4× 474 1.9× 81 2.1k
Asma Belhadi Norway 24 346 0.4× 460 0.7× 783 1.8× 247 0.9× 115 0.5× 76 1.5k
Antonio Guerrieri Italy 27 1.2k 1.4× 413 0.7× 393 0.9× 143 0.5× 379 1.5× 93 2.0k
Balqies Sadoun Jordan 17 399 0.5× 434 0.7× 242 0.6× 163 0.6× 225 0.9× 71 1.3k
Khalid Elgazzar Canada 20 736 0.9× 544 0.9× 369 0.8× 145 0.5× 224 0.9× 120 1.5k
Muhammad Intizar Ali Ireland 21 658 0.8× 298 0.5× 507 1.2× 94 0.4× 273 1.1× 93 1.9k
Mian Ahmad Jan Pakistan 31 1.6k 1.9× 713 1.1× 650 1.5× 65 0.2× 685 2.8× 108 2.6k
Djamel Djenouri Algeria 30 1.7k 2.1× 258 0.4× 523 1.2× 297 1.1× 994 4.0× 121 2.7k
Giandomenico Spezzano Italy 25 866 1.0× 310 0.5× 608 1.4× 120 0.5× 256 1.0× 114 2.0k
Christos Anagnostopoulos Greece 22 1.0k 1.2× 392 0.6× 422 1.0× 135 0.5× 317 1.3× 155 1.8k

Countries citing papers authored by Muhammad Zakarya

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Zakarya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Zakarya

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Zakarya. A scholar is included among the top collaborators of Muhammad Zakarya 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 Zakarya. Muhammad Zakarya 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.
Zakarya, Muhammad, et al.. (2025). Improving SpikeProp’s Training Efficiency in Spiking Neural Networks for Large Language Models Through Innovative Weight Initialization. International Journal of Computational Intelligence Systems. 18(1).
2.
Zakarya, Muhammad, Lee Gillam, Mohammad Reza Chalak Qazani, et al.. (2025). BackFillMe: An Energy and Performance Efficient Virtual Machine Scheduler for IaaS Datacenters. IEEE Transactions on Services Computing. 18(2). 660–672. 1 indexed citations
3.
Zakarya, Muhammad, et al.. (2024). Analysis of Clinical Competencies among Staff Nurses Regarding Pressure Ulcer Management. Journal of Asian Development Studies. 13(2). 1745–1753.
4.
Qazani, Mohammad Reza Chalak, Houshyar Asadi, Zoran Najdovski, et al.. (2024). High-fidelity learning-based motion cueing algorithm by bypassing worst-case scenario-based tuning technique. SHILAP Revista de lepidopterología. 4. 116–127.
5.
Zakarya, Muhammad, Lee Gillam, Ayaz Ali Khan, Omer Rana, & Rajkumar Buyya. (2024). ApMove: A Service Migration Technique for Connected and Autonomous Vehicles. IEEE Internet of Things Journal. 11(17). 28721–28733. 12 indexed citations
6.
Zakarya, Muhammad, et al.. (2024). Energy Efficient Real-Time Tasks Scheduling on High-Performance Edge-Computing Systems Using Genetic Algorithm. IEEE Access. 12. 54879–54892. 8 indexed citations
7.
Qazani, Mohammad Reza Chalak, Navid Aslfattahi, Vladimír Kulish, et al.. (2024). Specific Heat Capacity Extraction of Soybean Oil/MXene Nanofluids Using Optimized Long Short-Term Memory. IEEE Access. 12. 59049–59062. 1 indexed citations
8.
Rahman, Shahid, Jamal Uddin, Muhammad Zakarya, et al.. (2023). A Comprehensive Study of Digital Image Steganographic Techniques. IEEE Access. 11. 6770–6791. 14 indexed citations
9.
Qazani, Mohammad Reza Chalak, Houshyar Asadi, Muhammad Zakarya, et al.. (2023). A Neural Network-Based Motion Cueing Algorithm Using the Classical Washout Filter for Comprehensive Driving Scenarios. IEEE Transactions on Intelligent Transportation Systems. 25(6). 5112–5121. 1 indexed citations
10.
Hussain, Hameed, Ayaz Ali Khan, Muhammad Zakarya, et al.. (2022). A Machine Learning-Based Classification and Prediction Technique for DDoS Attacks. IEEE Access. 10. 21443–21454. 77 indexed citations
11.
Rahman, Shahid, Jamal Uddin, Habib Ullah Khan, et al.. (2022). A Novel Steganography Technique for Digital Images Using the Least Significant Bit Substitution Method. IEEE Access. 10. 124053–124075. 15 indexed citations
12.
Ali, Haider, Noor Badshah, Lavdie Rada, et al.. (2022). A Selective Segmentation Model Using Dual-Level Set Functions and Local Spatial Distance. IEEE Access. 10. 22344–22358. 7 indexed citations
13.
Setiawan, Adi, et al.. (2022). Experimental Investigation and Simulation of Slow Pyrolysis Process of Arabica Coffee Agroindustry Residues in a Pilot-Scale Reactor. Journal of Ecological Engineering. 23(8). 259–268. 5 indexed citations
14.
Ali, Ahmad, Fazlullah Khan, Muhammad Zakarya, et al.. (2021). Modeling Dynamic Spatio-Temporal Correlations for Urban Traffic Flows Prediction. IEEE Access. 9. 26502–26511. 36 indexed citations
15.
Ali, Hashim, Muhammad Shuaib Qureshi, Muhammad Bilal Qureshi, et al.. (2020). An Energy and Performance Aware Scheduler for Real-Time Tasks in Cloud Datacentres. IEEE Access. 8. 161288–161303. 13 indexed citations
16.
Rahman, Izaz Ur, Zidong Wang, Weibo Liu, et al.. (2020). An N-State Markovian Jumping Particle Swarm Optimization Algorithm. IEEE Transactions on Systems Man and Cybernetics Systems. 51(11). 6626–6638. 34 indexed citations
17.
Khan, Ayaz Ali, Muhammad Zakarya, Rajkumar Buyya, et al.. (2019). An Energy and Performance Aware Consolidation Technique for Containerized Datacenters. IEEE Transactions on Cloud Computing. 9(4). 1305–1322. 48 indexed citations
18.
Zakarya, Muhammad & Izaz Ur Rahman. (2013). A Short Overview of Service Discovery Protocols for MANETS. 1(2). 1–6. 5 indexed citations
19.
Zakarya, Muhammad. (2013). Extended DDoS Confirmation & Attack Packet Dropping Algorithm in On-Demand Grid Computing Platform. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 1(1). 18–28. 1 indexed citations
20.
Zakarya, Muhammad & Ayaz Ali Khan. (2011). Cloud QoS, High Availability & Service Security Issues with Solutions. 4(1). 16 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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