Nagi Gebraeel
Impact in
- Safety, Risk, Reliability and Quality top 0.02%
- Reliability and Maintenance Optimization
- Software top 0.5%
- Software Reliability and Analysis Research
Papers in
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- Reliability and Maintenance Optimization 49
- Power System Reliability and Maintenance 9
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- Risk and Safety Analysis 12
- Advanced Statistical Process Monitoring 5
Nagi Gebraeel
81 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Safety, Risk, Reliability and Quality 2.7k
- Software 570
- Medical Laboratory Technology 218
- Statistics, Probability and Uncertainty 801
- Control and Systems Engineering 2.3k
Countries citing papers authored by Nagi Gebraeel
This map shows the geographic impact of Nagi Gebraeel'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 Nagi Gebraeel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nagi Gebraeel more than expected).
Fields of papers citing papers by Nagi Gebraeel
This network shows the impact of papers produced by Nagi Gebraeel. 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 Nagi Gebraeel. The network helps show where Nagi Gebraeel may publish in the future.
Co-authors
The 25 scholars most cited alongside Nagi Gebraeel, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 11 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 63 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 2 | |
| 12 | 2022 | 14 | |
| 13 | 2021 | 14 | |
| 14 | 2020 | 45 | |
| 15 | 2020 | 13 | |
| 16 | 2020 | 57 | |
| 17 | 2019 | 12 | |
| 18 | 2014 | 26 | |
| 19 | A Stochastic Methodology for Prognostics Under Time-Varying Environmental Future Profiles. | 2011 | 2 |
| 20 | 2009 | 39 |
About Nagi Gebraeel
Nagi Gebraeel is a scholar working on Safety, Risk, Reliability and Quality, Statistics, Probability and Uncertainty, Software, Medical Laboratory Technology and Computational Mathematics, having authored 85 papers that have together received 4.6k indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (49 papers), Machine Fault Diagnosis Techniques (25 papers), Fault Detection and Control Systems (15 papers), Risk and Safety Analysis (12 papers), Statistical Distribution Estimation and Applications (11 papers), Software Reliability and Analysis Research (11 papers), Power System Reliability and Maintenance (9 papers) and Advanced Statistical Process Monitoring (5 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (2.7k citations), Software (570 citations), Medical Laboratory Technology (218 citations), Statistics, Probability and Uncertainty (801 citations) and Control and Systems Engineering (2.3k citations). Nagi Gebraeel has collaborated with scholars based in United States, China and Chile. Frequent co-authors include Mark Lawley, Alaa Elwany, Linkan Bian, Jennifer K. Ryan, Rong Li, Jing-Wen Pan, Runzi Liu, Jianjun Shi, Xiaolei Fang and Murat Yildirim. Their work appears in journals such as IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Power Systems, Reliability Engineering & System Safety, IISE Transactions and IEEE Transactions on Reliability.
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.