Mohsin Munir
Impact in
- Signal Processing top 5%
- Time Series Analysis and Forecasting
- Advanced Malware Detection Techniques
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications
- Data Stream Mining Techniques
Papers in
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- Anomaly Detection Techniques and Applications 6
- Data Stream Mining Techniques 3
- Computer Science and Engineering 3
- Adversarial Robustness in Machine Learning 2
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- Data Mining and Machine Learning Applications 3
- Co-authors
- Andreas Dengel (12 shared papers)Sheraz Ahmed (12 shared papers)Shoaib Ahmed Siddiqui (5 shared papers)Dominique Mercier (3 shared papers)Ludger van Elst (1 shared paper)Abdul Hannan Khan (1 shared paper)Muhammad Imran Malik (2 shared papers)Paul Lukowicz (1 shared paper)
In The Last Decade
Mohsin Munir
17 papers receiving 615 citations
Mohsin Munir's Hit Papers
Peers
Comparison fields: 5 of 84
- Signal Processing 233
- Artificial Intelligence 463
- Computer Networks and Communications 242
- Control and Systems Engineering 103
- Computer Vision and Pattern Recognition 70
Countries citing papers authored by Mohsin Munir
This map shows the geographic impact of Mohsin Munir'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 Mohsin Munir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohsin Munir more than expected).
Fields of papers citing papers by Mohsin Munir
This network shows the impact of papers produced by Mohsin Munir. 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 Mohsin Munir. The network helps show where Mohsin Munir may publish in the future.
Co-authors
The 17 scholars most cited alongside Mohsin Munir, 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 | DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series Hit paper breakdown → | 2018 | 411 |
| 2 | 2019 | 61 | |
| 3 | 2019 | 55 | |
| 4 | 2019 | 31 | |
| 5 | 2022 | 18 | |
| 6 | 2020 | 14 | |
| 7 | 2021 | 12 | |
| 8 | 2017 | 12 | |
| 9 | 2020 | 6 | |
| 10 | 2021 | 5 | |
| 11 | MICROFACIES ANALYSIS OF THE MIDDLE EOCENE KOHAT FORMATION, SHEKHAN NALA, KOHAT BASIN, PAKISTAN | 2007 | 3 |
| 12 | 2021 | 2 | |
| 13 | 2022 | 1 | |
| 14 | 2022 | 1 | |
| 15 | 2018 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2021 | 0 | |
| 19 | 2022 | 0 |
About Mohsin Munir
Mohsin Munir is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Signal Processing and Biophysics, having authored 19 papers that have together received 635 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (6 papers), Cell Image Analysis Techniques (3 papers), Data Stream Mining Techniques (3 papers), Time Series Analysis and Forecasting (3 papers), Data Mining and Machine Learning Applications (3 papers), Computer Science and Engineering (3 papers), Digital Imaging for Blood Diseases (2 papers) and Adversarial Robustness in Machine Learning (2 papers). The work is most often cited by research in Signal Processing (233 citations), Artificial Intelligence (463 citations), Computer Networks and Communications (242 citations), Control and Systems Engineering (103 citations) and Computer Vision and Pattern Recognition (70 citations). Mohsin Munir has collaborated with scholars based in Germany, Pakistan and Indonesia. Frequent co-authors include Andreas Dengel, Sheraz Ahmed, Shoaib Ahmed Siddiqui, Dominique Mercier, Ludger van Elst, Abdul Hannan Khan, Muhammad Imran Malik, Paul Lukowicz, Faisal Shafait and Nabeel Khalid. Their work appears in journals such as IEEE Access, IEEE Transactions on Industrial Informatics, Applied Sciences, Sensors and The Journal of the Royal College of Physicians of Edinburgh.
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.