Muhammad Umer
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Control and Systems Engineering top 10%
- Signal Processing top 10%
- Psychiatry and Mental health
- Co-authors
- Aditya P. MathurKhurum Nazir JunejoMuhammad Taha JilaniRobi PolikarStephen BrobstChristopher J. FredericksonSridhar AdepuSheina Emrani
- Topics
- Anomaly Detection Techniques and Applications (11 papers)Network Security and Intrusion Detection (6 papers)Smart Grid Security and Resilience (5 papers)
- Journals
- Journal of the International Neuropsychological SocietyComputers & SecurityInternational Journal of Critical Infrastructure Protection
- Partner nations
- PakistanSingaporeUnited States
In The Last Decade
Muhammad Umer
16 papers receiving 262 citations
Peers
Comparison fields: 5 of 68
- Artificial Intelligence 126
- Computer Networks and Communications 114
- Control and Systems Engineering 90
- Signal Processing 50
- Psychiatry and Mental health 43
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-authorship network of co-authors of Muhammad Umer
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Umer. A scholar is included among the top collaborators of Muhammad Umer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Muhammad Umer. Muhammad Umer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 81 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 55 | |
| 7 | 14 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 6 | |
| 12 | 12 | |
| 13 | 9 | |
| 14 | 14 | |
| 15 | 12 | |
| 16 | 22 | |
| 17 | Learning dynamics of pesticide abuse through data mining | 26 |
| 18 | The Case for an Agri Data Warehouse: Enabling Analytical Exploration of Integrated Agricultural Data. | 13 |
About Muhammad Umer
Muhammad Umer is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing, having authored 18 papers that have together received 285 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (11 papers), Network Security and Intrusion Detection (6 papers) and Smart Grid Security and Resilience (5 papers). The work is most often cited by research in Computer Networks and Communications (114 citations), Signal Processing (50 citations) and Artificial Intelligence (126 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, Stephen Brobst, Christopher J. Frederickson, Sridhar Adepu, Sheina Emrani, Sean McGuire and David J. Libon. Their work appears in journals such as Journal of the International Neuropsychological Society, Computers & Security and International Journal of Critical Infrastructure Protection.
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.