Mohammad Masum
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
Papers in
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- Anomaly Detection Techniques and Applications 6
- Quantum Computing Algorithms and Architecture 3
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- Advanced Malware Detection Techniques 8
- Co-authors
- Hossain Shahriar (24 shared papers)Md Jobair Hossain Faruk (10 shared papers)Hisham M. Haddad (9 shared papers)Kai Qian (3 shared papers)Dan Lo (3 shared papers)Fan Wu (4 shared papers)Maria Valero (5 shared papers)Alfredo Cuzzocrea (4 shared papers)
- Journals
- Electronics (2 papers)Socio-Economic Planning Sciences (1 paper)International Journal of Information Management Data Insights (1 paper)PLoS ONE (1 paper)2022 IEEE International Conference on Big Data (Big Data) (2 papers)
- Partner nations
- United StatesItalySouth Korea
In The Last Decade
Mohammad Masum
32 papers receiving 355 citations
Peers
Comparison fields: 5 of 80
- Signal Processing 168
- Computer Networks and Communications 162
- Software 20
- Artificial Intelligence 169
- Information Systems 104
Countries citing papers authored by Mohammad Masum
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
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-authors
The 25 scholars most cited alongside Mohammad Masum, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 63 | |
| 2 | 2021 | 56 | |
| 3 | 2022 | 28 | |
| 4 | 2020 | 23 | |
| 5 | 2019 | 21 | |
| 6 | 2022 | 19 | |
| 7 | 2020 | 16 | |
| 8 | 2022 | 16 | |
| 9 | 2021 | 15 | |
| 10 | 2019 | 15 | |
| 11 | 2020 | 13 | |
| 12 | 2022 | 11 | |
| 13 | 2019 | 11 | |
| 14 | 2024 | 8 | |
| 15 | 2020 | 8 | |
| 16 | 2020 | 7 | |
| 17 | 2024 | 7 | |
| 18 | 2022 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2021 | 4 |
About Mohammad Masum
Mohammad Masum is a scholar working on Artificial Intelligence, Signal Processing, Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition, having authored 34 papers that have together received 372 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (8 papers), Network Security and Intrusion Detection (8 papers), Anomaly Detection Techniques and Applications (6 papers), COVID-19 diagnosis using AI (3 papers), Quantum Computing Algorithms and Architecture (3 papers), EEG and Brain-Computer Interfaces (3 papers), Spam and Phishing Detection (3 papers) and Image Retrieval and Classification Techniques (3 papers). The work is most often cited by research in Signal Processing (168 citations), Computer Networks and Communications (162 citations), Software (20 citations), Artificial Intelligence (169 citations) and Information Systems (104 citations). Mohammad Masum has collaborated with scholars based in United States, Italy and South Korea. Frequent co-authors include Hossain Shahriar, Md Jobair Hossain Faruk, Hisham M. Haddad, Kai Qian, Dan Lo, Fan Wu, Maria Valero, Alfredo Cuzzocrea, Mohammad Ashiqur Rahman and Akond Rahman. Their work appears in journals such as Electronics, Socio-Economic Planning Sciences, International Journal of Information Management Data Insights, PLoS ONE and 2022 IEEE International Conference on Big Data (Big Data).
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.