Faisal Muhammad Shah
- Neurology top 5%
- Artificial Intelligence top 2%
- Sentiment Analysis and Opinion Mining 12
- Topic Modeling 6
- Text and Document Classification Technologies 6
- Anomaly Detection Techniques and Applications 5
- Health Informatics top 10%
- Applied Psychology top 10%
- Signal Processing top 5%
- Advanced Malware Detection Techniques 8
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- Spam and Phishing Detection 12
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- Network Security and Intrusion Detection 6
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- Multimodal Machine Learning Applications 5
- Co-authors
- Tonmoy HossainMD Abdullah Al NasimKhan Md. HasibJubayer Al MahmudShakil AhmedObaidur RahmanSamir H. SadekMd. Hasanul Kabir
- Journals
- Neurocomputing (1 paper)International Journal of Advanced Computer Science and Applications (1 paper)SN Computer Science (3 papers)
- Partner nations
- BangladeshCanadaLebanon
In The Last Decade
Faisal Muhammad Shah
42 papers receiving 931 citations
Peers
Comparison fields: 5 of 100
- Neurology 162
- Artificial Intelligence 609
- Health Informatics 20
- Applied Psychology 62
- Signal Processing 108
Countries citing papers authored by Faisal Muhammad Shah
This map shows the geographic impact of Faisal Muhammad Shah'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 Faisal Muhammad Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Faisal Muhammad Shah more than expected).
Fields of papers citing papers by Faisal Muhammad Shah
This network shows the impact of papers produced by Faisal Muhammad Shah. 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 Faisal Muhammad Shah. The network helps show where Faisal Muhammad Shah may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Faisal Muhammad Shah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 0 | |
| 6 | 2021 | 7 | |
| 7 | 2021 | 24 | |
| 8 | 2021 | 52 | |
| 9 | 2021 | 5 | |
| 10 | 2020 | 25 | |
| 11 | 2020 | 57 | |
| 12 | 2020 | 8 | |
| 13 | 2020 | 3 | |
| 14 | 2019 | 150 | |
| 15 | 2019 | 5 | |
| 16 | 2019 | 7 | |
| 17 | 2019 | 2 | |
| 18 | 2016 | 13 | |
| 19 | 2015 | 4 | |
| 20 | 2015 | 31 |
About Faisal Muhammad Shah
Faisal Muhammad Shah is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 48 papers that have together received 1.0k indexed citations. Recurring topics across this work include Spam and Phishing Detection (12 papers), Sentiment Analysis and Opinion Mining (12 papers), Advanced Malware Detection Techniques (8 papers), Topic Modeling (6 papers), Network Security and Intrusion Detection (6 papers), Text and Document Classification Technologies (6 papers), Multimodal Machine Learning Applications (5 papers) and Anomaly Detection Techniques and Applications (5 papers). The work is most often cited by research in Neurology (162 citations), Artificial Intelligence (609 citations) and Health Informatics (20 citations). Faisal Muhammad Shah has collaborated with scholars based in Bangladesh, Canada and Lebanon. Frequent co-authors include Tonmoy Hossain, MD Abdullah Al Nasim, Khan Md. Hasib, Jubayer Al Mahmud, Shakil Ahmed, Obaidur Rahman, Samir H. Sadek, Md. Hasanul Kabir, Mostofa Ahsan and Sujan Sarker. Their work appears in journals such as Neurocomputing, International Journal of Advanced Computer Science and Applications and SN Computer Science.
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.