Umer Saeed
Impact in
- Control and Systems Engineering top 10%
- Fault Detection and Control Systems
- Machine Fault Diagnosis Techniques
-
- Energy Efficient Wireless Sensor Networks
Papers in
-
- Non-Invasive Vital Sign Monitoring 8
- Gait Recognition and Analysis 3
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- Indoor and Outdoor Localization Technologies 7
- Co-authors
- Insoo Koo (8 shared papers)Sana Ullah Jan (7 shared papers)Young-Doo Lee (3 shared papers)Syed Aziz Shah (13 shared papers)Qammer H. Abbasi (12 shared papers)Syed Yaseen Shah (5 shared papers)Abdullah Alhumaidi Alotaibi (5 shared papers)Turke Althobaiti (5 shared papers)
- Journals
- IEEE Sensors Journal (6 papers)Sensors (3 papers)Electronics (2 papers)Reliability Engineering & System Safety (1 paper)Expert Systems with Applications (1 paper)
- Partner nations
- United KingdomSouth KoreaSaudi Arabia
In The Last Decade
Umer Saeed
19 papers receiving 398 citations
Peers
Comparison fields: 5 of 89
- Control and Systems Engineering 107
- Computer Networks and Communications 83
- Biomedical Engineering 122
- Computer Vision and Pattern Recognition 54
- Artificial Intelligence 80
Countries citing papers authored by Umer Saeed
This map shows the geographic impact of Umer Saeed'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 Umer Saeed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Umer Saeed more than expected).
Fields of papers citing papers by Umer Saeed
This network shows the impact of papers produced by Umer Saeed. 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 Umer Saeed. The network helps show where Umer Saeed may publish in the future.
Co-authors
The 22 scholars most cited alongside Umer Saeed, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 163 | |
| 2 | 2021 | 45 | |
| 3 | 2021 | 36 | |
| 4 | 2021 | 33 | |
| 5 | 2021 | 28 | |
| 6 | 2020 | 16 | |
| 7 | 2022 | 14 | |
| 8 | 2022 | 12 | |
| 9 | 2024 | 10 | |
| 10 | 2023 | 9 | |
| 11 | 2022 | 9 | |
| 12 | 2024 | 8 | |
| 13 | 2022 | 6 | |
| 14 | 2020 | 6 | |
| 15 | 2023 | 3 | |
| 16 | 2025 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 0 |
About Umer Saeed
Umer Saeed is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Control and Systems Engineering, Artificial Intelligence and Signal Processing, having authored 21 papers that have together received 404 indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (8 papers), Indoor and Outdoor Localization Technologies (7 papers), Anomaly Detection Techniques and Applications (5 papers), Fault Detection and Control Systems (4 papers), Gait Recognition and Analysis (3 papers), Network Security and Intrusion Detection (3 papers), COVID-19 diagnosis using AI (2 papers) and Smart Grid Security and Resilience (2 papers). The work is most often cited by research in Control and Systems Engineering (107 citations), Computer Networks and Communications (83 citations), Biomedical Engineering (122 citations), Computer Vision and Pattern Recognition (54 citations) and Artificial Intelligence (80 citations). Umer Saeed has collaborated with scholars based in United Kingdom, South Korea and Saudi Arabia. Frequent co-authors include Insoo Koo, Sana Ullah Jan, Young-Doo Lee, Syed Aziz Shah, Qammer H. Abbasi, Syed Yaseen Shah, Abdullah Alhumaidi Alotaibi, Turke Althobaiti, Naeem Ramzan and Jawad Ahmad. Their work appears in journals such as IEEE Sensors Journal, Sensors, Electronics, Reliability Engineering & System Safety and Expert Systems with Applications.
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.