Muhammad Umer
Impact in
- Signal Processing top 10%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
Papers in
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- Anomaly Detection Techniques and Applications 14
- Data Stream Mining Techniques 3
- Adversarial Robustness in Machine Learning 2
- Domain Adaptation and Few-Shot Learning 2
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- Network Security and Intrusion Detection 7
- Co-authors
- Aditya P. Mathur (5 shared papers)Khurum Nazir Junejo (5 shared papers)Muhammad Taha Jilani (7 shared papers)Robi Polikar (5 shared papers)Sridhar Adepu (2 shared papers)Stephen Brobst (2 shared papers)Christopher J. Frederickson (4 shared papers)Sean McGuire (1 shared paper)
- Journals
- International Journal of Critical Infrastructure Protection (2 papers)Journal of the International Neuropsychological Society (1 paper)Computers & Security (1 paper)Studies in computational intelligence (3 papers)Studies in big data (1 paper)
- Partner nations
- PakistanSingaporeUnited States
In The Last Decade
Muhammad Umer
19 papers receiving 335 citations
Peers
Comparison fields: 5 of 70
- Signal Processing 74
- Computer Networks and Communications 153
- Control and Systems Engineering 109
- Artificial Intelligence 156
- Health Informatics 4
Countries citing papers authored by Muhammad Umer
This map shows the geographic impact of Muhammad Umer'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 Muhammad Umer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Umer more than expected).
Fields of papers citing papers by Muhammad Umer
This network shows the impact of papers produced by Muhammad Umer. 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 Muhammad Umer. The network helps show where Muhammad Umer may publish in the future.
Co-authors
The 23 scholars most cited alongside Muhammad Umer, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 101 | |
| 2 | 2020 | 60 | |
| 3 | Learning dynamics of pesticide abuse through data mining | 2004 | 29 |
| 4 | 2005 | 28 | |
| 5 | 2020 | 23 | |
| 6 | 2017 | 20 | |
| 7 | The Case for an Agri Data Warehouse: Enabling Analytical Exploration of Integrated Agricultural Data. | 2004 | 15 |
| 8 | 2016 | 14 | |
| 9 | 2017 | 13 | |
| 10 | 2020 | 13 | |
| 11 | 2017 | 11 | |
| 12 | 2021 | 10 | |
| 13 | 2017 | 6 | |
| 14 | 2022 | 6 | |
| 15 | 2019 | 3 | |
| 16 | 2018 | 3 | |
| 17 | 2021 | 3 | |
| 18 | 2019 | 2 | |
| 19 | 2021 | 1 | |
| 20 | 2021 | 0 |
About Muhammad Umer
Muhammad Umer is a scholar working on Artificial Intelligence, Computer Networks and Communications, Control and Systems Engineering, Computer Vision and Pattern Recognition and Signal Processing, having authored 23 papers that have together received 361 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (14 papers), Network Security and Intrusion Detection (7 papers), Smart Grid Security and Resilience (6 papers), Data Stream Mining Techniques (3 papers), Adversarial Robustness in Machine Learning (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Video Surveillance and Tracking Methods (2 papers) and Time Series Analysis and Forecasting (2 papers). The work is most often cited by research in Signal Processing (74 citations), Computer Networks and Communications (153 citations), Control and Systems Engineering (109 citations), Artificial Intelligence (156 citations) and Health Informatics (4 citations). Muhammad Umer has collaborated with scholars based in Pakistan, Singapore and United States. Frequent co-authors include Aditya P. Mathur, Khurum Nazir Junejo, Muhammad Taha Jilani, Robi Polikar, Sridhar Adepu, Stephen Brobst, Christopher J. Frederickson, Sean McGuire, David J. Libon and Sheina Emrani. Their work appears in journals such as International Journal of Critical Infrastructure Protection, Journal of the International Neuropsychological Society, Computers & Security, Studies in computational intelligence and Studies in 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.