Raed Al Kontar
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Safety, Risk, Reliability and Quality top 5%
- Statistics, Probability and Uncertainty top 5%
- Mechanical Engineering
- Co-authors
- Shiyu ZhouXinyu DuYilu ZhangChaitanya SankavaramGarvesh RaskuttiMaher NouiehedDharmaraj VeeramaniEunshin Byon
- Topics
- Advanced Multi-Objective Optimization Algorithms (8 papers)Fault Detection and Control Systems (7 papers)Gaussian Processes and Bayesian Inference (7 papers)
- Cited by
- Health InformaticsStatistics, Probability and UncertaintySafety, Risk, Reliability and Quality
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceTechnometricsACS Applied Materials & Interfaces
- Partner nations
- United StatesLebanonChina
In The Last Decade
Raed Al Kontar
38 papers receiving 376 citations
Peers
Comparison fields: 5 of 71
- Artificial Intelligence 156
- Control and Systems Engineering 105
- Safety, Risk, Reliability and Quality 66
- Statistics, Probability and Uncertainty 52
- Mechanical Engineering 41
Countries citing papers authored by Raed Al Kontar
This map shows the geographic impact of Raed Al Kontar'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 Raed Al Kontar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raed Al Kontar more than expected).
Fields of papers citing papers by Raed Al Kontar
This network shows the impact of papers produced by Raed Al Kontar. 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 Raed Al Kontar. The network helps show where Raed Al Kontar may publish in the future.
Co-authorship network of co-authors of Raed Al Kontar
This figure shows the co-authorship network connecting the top 25 collaborators of Raed Al Kontar. A scholar is included among the top collaborators of Raed Al Kontar 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 Raed Al Kontar. Raed Al Kontar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 15 | |
| 10 | 6 | |
| 11 | 0 | |
| 12 | 5 | |
| 13 | 19 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 8 | |
| 17 | 4 | |
| 18 | 19 | |
| 19 | 12 | |
| 20 | 37 |
About Raed Al Kontar
Raed Al Kontar is a scholar working on Health Informatics, Health Information Management and Statistics, Probability and Uncertainty, having authored 42 papers that have together received 383 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (8 papers), Fault Detection and Control Systems (7 papers) and Gaussian Processes and Bayesian Inference (7 papers). The work is most often cited by research in Health Informatics (16 citations), Statistics, Probability and Uncertainty (52 citations) and Safety, Risk, Reliability and Quality (66 citations). Raed Al Kontar has collaborated with scholars based in United States, Lebanon and China. Frequent co-authors include Shiyu Zhou, Xinyu Du, Yilu Zhang, Chaitanya Sankavaram, Garvesh Raskutti, Maher Nouiehed, Dharmaraj Veeramani, Eunshin Byon, John A. Horst and Romesh Saigal. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Technometrics and ACS Applied Materials & Interfaces.
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.