Muhammad Sardaraz

1.1k total citations
35 papers, 699 citations indexed

About

Muhammad Sardaraz is a scholar working on Computer Networks and Communications, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Muhammad Sardaraz has authored 35 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 15 papers in Artificial Intelligence and 11 papers in Molecular Biology. Recurrent topics in Muhammad Sardaraz's work include IoT and Edge/Fog Computing (9 papers), Genomics and Phylogenetic Studies (8 papers) and Cloud Computing and Resource Management (7 papers). Muhammad Sardaraz is often cited by papers focused on IoT and Edge/Fog Computing (9 papers), Genomics and Phylogenetic Studies (8 papers) and Cloud Computing and Resource Management (7 papers). Muhammad Sardaraz collaborates with scholars based in Pakistan, Saudi Arabia and United States. Muhammad Sardaraz's co-authors include Muhammad Tahir, Zahid Mehmood, Shakoor Muhammad, Amjad Rehman, Mona Alduailij, Tanzila Saba, Mai Alduailij, Fazila‐Tun‐Nesa Malik, Ataul Aziz Ikram and Abdullah Alourani and has published in prestigious journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Muhammad Sardaraz

34 papers receiving 658 citations

Peers

Muhammad Sardaraz

CNC

CVPR

Wushao Wen China

Zryan Najat Rashid Iraq

Emanuele Carlini Italy

Michael D. Beynon United States

B. Surendiran India

Arabi Keshk Egypt

Lize Gu China

Zhaoshun Wang China

Shanjiang Tang China

Wushao Wen China

Muhammad Sardaraz

303 ×0.8

CNC

213 ×0.7

148 ×0.5

153 ×1.3

CVPR

70 ×0.8

Citations per year, relative to Muhammad Sardaraz Muhammad Sardaraz (= 1×) peers Wushao Wen

Countries citing papers authored by Muhammad Sardaraz

Since Specialization

Citations

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

Fields of papers citing papers by Muhammad Sardaraz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Sardaraz

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

Sardaraz, Muhammad, et al.. (2025). Securing IoT Networks Against DDoS Attacks: A Hybrid Deep Learning Approach. Sensors. 25(5). 1346–1346. 8 indexed citations

Malik, Fazila‐Tun‐Nesa, et al.. (2025). A Hybrid K-Means++ and Particle Swarm Optimization Approach for Enhanced Document Clustering. IEEE Access. 13. 48818–48840. 2 indexed citations

Tahir, Muhammad, et al.. (2025). Network intrusion detection model using wrapper based feature selection and multi head attention transformers. Scientific Reports. 15(1). 28718–28718.

Alourani, Abdullah, et al.. (2024). Energy efficient virtual machines placement in cloud datacenters using genetic algorithm and adaptive thresholds. PLoS ONE. 19(1). e0296399–e0296399. 6 indexed citations

Sardaraz, Muhammad, et al.. (2023). IDriveGenes: Cancer Driver Genes Prediction Using Machine Learning. IEEE Access. 11. 28439–28453. 4 indexed citations

Alourani, Abdullah, et al.. (2023). Patient Mortality Prediction and Analysis of Health Cloud Data Using a Deep Neural Network. Applied Sciences. 13(4). 2391–2391. 3 indexed citations

Alourani, Abdullah, et al.. (2023). Dynamic and Energy Efficient Cache Scheduling Framework for IoMT over ICN. Applied Sciences. 13(21). 11840–11840. 1 indexed citations

Alduailij, Mona, et al.. (2022). Machine-Learning-Based DDoS Attack Detection Using Mutual Information and Random Forest Feature Importance Method. Symmetry. 14(6). 1095–1095. 99 indexed citations

Sardaraz, Muhammad, et al.. (2021). Energy-Efficient Load Balancing Algorithm for Workflow Scheduling in Cloud Data Centers Using Queuing and Thresholds. Applied Sciences. 11(13). 5849–5849. 35 indexed citations

10.

Khan, Noor M., et al.. (2021). A low-complexity, energy-efficient data securing model for wireless sensor network based on linearly complex voice encryption mechanism of GSM technology. International Journal of Distributed Sensor Networks. 17(5). 812462954–812462954. 4 indexed citations

11.

Mehmood, Zahid, et al.. (2020). Potential Barriers to Music Fingerprinting Algorithms in the Presence of Background Noise. 25–30. 3 indexed citations

12.

Tahir, Muhammad, et al.. (2020). ESREEM: Efficient Short Reads Error Estimation Computational Model for Next-generation Genome Sequencing. Current Bioinformatics. 16(2). 339–349. 3 indexed citations

13.

Tahir, Muhammad, et al.. (2020). A Lightweight Authentication and Authorization Framework for Blockchain-Enabled IoT Network in Health-Informatics. Sustainability. 12(17). 6960–6960. 77 indexed citations

14.

Tahir, Muhammad & Muhammad Sardaraz. (2020). A Fast and Scalable Workflow for SNPs Detection in Genome Sequences Using Hadoop Map-Reduce. Genes. 11(2). 166–166. 5 indexed citations

15.

Mehmood, Zahid, et al.. (2020). BoVW model based on adaptive local and global visual words modeling and log-based relevance feedback for semantic retrieval of the images. EURASIP Journal on Image and Video Processing. 2020(1). 2 indexed citations

16.

Sardaraz, Muhammad & Muhammad Tahir. (2019). A Hybrid Algorithm for Scheduling Scientific Workflows in Cloud Computing. IEEE Access. 7. 186137–186146. 35 indexed citations

17.

Sardaraz, Muhammad & Muhammad Tahir. (2018). FCompress: An Algorithm for FASTQ Sequence Data Compression. Current Bioinformatics. 14(2). 123–129. 2 indexed citations

18.

Sardaraz, Muhammad, et al.. (2018). Evolutionary Algorithms in Cloud Computing from the Perspective of Energy Consumption: A Review. 1–6. 12 indexed citations

19.

Sardaraz, Muhammad, et al.. (2014). SeqCompress: An algorithm for biological sequence compression. Genomics. 104(4). 225–228. 16 indexed citations

20.

Tahir, Muhammad, et al.. (2013). Review of Genome Sequence Short Read Error Correction Algorithms. 3(1). 1–9. 6 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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