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 4
- Computer Science and Engineering 3
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- Advanced Neural Network Applications 3
- Co-authors
- Andreas Dengel (15 shared papers)Sheraz Ahmed (15 shared papers)Shoaib Ahmed Siddiqui (6 shared papers)Dominique Mercier (3 shared papers)Abdul Hannan Khan (1 shared paper)Ludger van Elst (2 shared papers)Christoffer Edlund (4 shared papers)Rickard Sjögren (4 shared papers)
In The Last Decade
Mohsin Munir
22 papers receiving 714 citations
Mohsin Munir's Hit Papers
Peers
Comparison fields: 5 of 87
- Signal Processing 277
- Artificial Intelligence 531
- Computer Networks and Communications 264
- Control and Systems Engineering 111
- Computer Vision and Pattern Recognition 96
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 18 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
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series Hit paper breakdown → | 2018 | 447 |
| 2 | 2019 | 69 | |
| 3 | 2019 | 69 | |
| 4 | 2019 | 38 | |
| 5 | 2022 | 21 | |
| 6 | 2017 | 17 | |
| 7 | 2020 | 16 | |
| 8 | 2021 | 12 | |
| 9 | 2021 | 9 | |
| 10 | 2022 | 7 | |
| 11 | 2021 | 6 | |
| 12 | 2020 | 6 | |
| 13 | 2018 | 5 | |
| 14 | MICROFACIES ANALYSIS OF THE MIDDLE EOCENE KOHAT FORMATION, SHEKHAN NALA, KOHAT BASIN, PAKISTAN | 2007 | 3 |
| 15 | 2022 | 3 | |
| 16 | 2022 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2021 | 1 | |
| 19 | 2018 | 1 | |
| 20 | 2020 | 1 |
About Mohsin Munir
Mohsin Munir is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Signal Processing and Biophysics, having authored 22 papers that have together received 735 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (6 papers), Cell Image Analysis Techniques (4 papers), Data Stream Mining Techniques (4 papers), Time Series Analysis and Forecasting (4 papers), Image Processing Techniques and Applications (3 papers), Advanced Neural Network Applications (3 papers), Data Mining and Machine Learning Applications (3 papers) and Computer Science and Engineering (3 papers). The work is most often cited by research in Signal Processing (277 citations), Artificial Intelligence (531 citations), Computer Networks and Communications (264 citations), Control and Systems Engineering (111 citations) and Computer Vision and Pattern Recognition (96 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, Abdul Hannan Khan, Ludger van Elst, Christoffer Edlund, Rickard Sjögren, Timothy R. Jackson and Muhammad Imran Malik. Their work appears in journals such as IEEE Access, Sensors, Applied Sciences, The Journal of the Royal College of Physicians of Edinburgh and IEEE Transactions on Industrial Informatics.
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.