Mohammad Masum

667 total citations
34 papers, 372 citations indexed

About

Mohammad Masum is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Mohammad Masum has authored 34 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 10 papers in Signal Processing and 9 papers in Computer Networks and Communications. Recurrent topics in Mohammad Masum's work include Network Security and Intrusion Detection (8 papers), Advanced Malware Detection Techniques (8 papers) and Anomaly Detection Techniques and Applications (6 papers). Mohammad Masum is often cited by papers focused on Network Security and Intrusion Detection (8 papers), Advanced Malware Detection Techniques (8 papers) and Anomaly Detection Techniques and Applications (6 papers). Mohammad Masum collaborates with scholars based in United States, Italy and Canada. Mohammad Masum's co-authors include Hossain Shahriar, Md Jobair Hossain Faruk, Hisham M. Haddad, Dan Lo, Kai Qian, Fan Wu, Maria Valero, Alfredo Cuzzocrea, Akond Rahman and Mohammad Ashiqur Rahman and has published in prestigious journals such as PLoS ONE, Electronics and Socio-Economic Planning Sciences.

In The Last Decade

Mohammad Masum

32 papers receiving 355 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Masum United States 12 169 168 162 104 37 34 372
Anjali Sardana India 11 215 1.3× 155 0.9× 254 1.6× 168 1.6× 43 1.2× 40 469
Ghaith Husari United States 10 108 0.6× 128 0.8× 178 1.1× 179 1.7× 57 1.5× 19 377
Zhenxin Zhan United States 6 87 0.5× 127 0.8× 232 1.4× 170 1.6× 22 0.6× 6 375
Amir Namavar Jahromi Canada 10 227 1.3× 190 1.1× 284 1.8× 89 0.9× 9 0.2× 15 399
Soodeh Hosseini Iran 12 185 1.1× 166 1.0× 289 1.8× 55 0.5× 11 0.3× 30 418
Sunil Kumar Muttoo India 11 145 0.9× 132 0.8× 131 0.8× 103 1.0× 165 4.5× 75 443
Sara Shahzad Pakistan 11 81 0.5× 53 0.3× 77 0.5× 147 1.4× 26 0.7× 26 299
Omar Adwan Jordan 11 232 1.4× 74 0.4× 144 0.9× 101 1.0× 41 1.1× 28 415
Branka Stojanović Austria 11 144 0.9× 169 1.0× 189 1.2× 136 1.3× 67 1.8× 36 409

Countries citing papers authored by Mohammad Masum

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Masum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Masum

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Masum. A scholar is included among the top collaborators of Mohammad Masum 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 Masum. Mohammad Masum 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.
Sengupta, Saptarshi, et al.. (2025). Deep Learning for Non-Invasive Blood Pressure Monitoring: Model Performance and Quantization Trade-Offs. Electronics. 14(7). 1300–1300. 1 indexed citations
2.
3.
Masum, Mohammad, et al.. (2024). Comorbidities and their association with COVID-19 mortality in Mexico between January 2020 and August 2021. PLoS ONE. 19(4). e0296895–e0296895. 1 indexed citations
4.
Gupta, Megha, et al.. (2024). Genie: Enhancing information management in the restaurant industry through AI-powered chatbot. International Journal of Information Management Data Insights. 4(2). 100255–100255. 7 indexed citations
5.
6.
Masum, Mohammad, et al.. (2024). CMI: Cluster-Centric Missing Value Imputation with Feature Consistency. 521–526. 1 indexed citations
7.
8.
Masum, Mohammad, Hossain Shahriar, Maria Valero, et al.. (2022). Scalable Machine Learning Using PySpark. 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC). 454–455. 3 indexed citations
9.
Masum, Mohammad, Nafisa Anjum, Md Jobair Hossain Faruk, et al.. (2022). A Novel Machine Learning Based Framework for Bridge Condition Analysis. 2022 IEEE International Conference on Big Data (Big Data). 5530–5535. 2 indexed citations
10.
Faruk, Md Jobair Hossain, et al.. (2022). A Novel IoT-based Framework for Non-Invasive Human Hygiene Monitoring using Machine Learning Techniques. 412–421. 1 indexed citations
11.
Faruk, Md Jobair Hossain, Nafisa Anjum, Mohammad Masum, et al.. (2022). Software Supply Chain Vulnerabilities Detection in Source Code: Performance Comparison between Traditional and Quantum Machine Learning Algorithms. 2022 IEEE International Conference on Big Data (Big Data). 5639–5645. 11 indexed citations
12.
Faruk, Md Jobair Hossain, Mohammad Masum, Hossain Shahriar, et al.. (2022). Evolution of Quantum Computing: A Systematic Survey on the Use of Quantum Computing Tools. 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC). 520–529. 28 indexed citations
13.
Masum, Mohammad, et al.. (2022). Comparative study of a mathematical epidemic model, statistical modeling, and deep learning for COVID-19 forecasting and management. Socio-Economic Planning Sciences. 80. 101249–101249. 19 indexed citations
14.
Masum, Mohammad, et al.. (2022). Ransomware Classification and Detection With Machine Learning Algorithms. arXiv (Cornell University). 316–322. 63 indexed citations
15.
Masum, Mohammad, Hossain Shahriar, Hisham M. Haddad, & Wen‐Zhan Song. (2021). A Statistical Summary Analysis of Window-Based Extracted Features for EEG Signal Classification. 293–298. 1 indexed citations
16.
Masum, Mohammad, Hossain Shahriar, Hisham M. Haddad, et al.. (2021). Bayesian Hyperparameter Optimization for Deep Neural Network-Based Network Intrusion Detection. 2021 IEEE International Conference on Big Data (Big Data). 5413–5419. 56 indexed citations
17.
Masum, Mohammad, Hossain Shahriar, & Hisham M. Haddad. (2020). Analysis of Sampling Techniques Towards Epileptic Seizure Detection from Imbalanced Dataset. 684–692. 3 indexed citations
18.
Masum, Mohammad & Hossain Shahriar. (2020). TL-NID: Deep Neural Network with Transfer Learning for Network Intrusion Detection. 1–7. 23 indexed citations
19.
Masum, Mohammad, Hossain Shahriar, & Hisham M. Haddad. (2020). Epileptic Seizure Detection for Imbalanced Datasets Using an Integrated Machine Learning Approach. PubMed. 2020. 5416–5419. 7 indexed citations
20.
Masum, Mohammad, Hossain Shahriar, Hisham M. Haddad, et al.. (2020). Actionable Knowledge Extraction Framework for COVID-19. Florida International University Digital Commons (Florida International University). 4. 4036–4041. 1 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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