Karlene A. Hoo
- Control and Systems Engineering top 2%
- Mechanical Engineering top 10%
- Ocean Engineering top 5%
- Artificial Intelligence top 10%
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Jeffrey C. KantorMichael J. PiovosoGary M. GladyszYingying ChenPhillip D. SchnelleXi ZhangUzi MannArun V. Krishnan
- Topics
- Advanced Control Systems Optimization (23 papers)Fault Detection and Control Systems (20 papers)Model Reduction and Neural Networks (6 papers)
- Cited by
- Control and Systems EngineeringStatistics, Probability and UncertaintyStatistical and Nonlinear Physics
- Journals
- Journal of Materials ScienceIndustrial & Engineering Chemistry ResearchIEEE Transactions on Biomedical Engineering
- Partner nations
- United StatesChina
In The Last Decade
Karlene A. Hoo
61 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 130
- Control and Systems Engineering 651
- Mechanical Engineering 201
- Ocean Engineering 98
- Artificial Intelligence 97
- Statistical and Nonlinear Physics 91
Countries citing papers authored by Karlene A. Hoo
This map shows the geographic impact of Karlene A. Hoo'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 Karlene A. Hoo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karlene A. Hoo more than expected).
Fields of papers citing papers by Karlene A. Hoo
This network shows the impact of papers produced by Karlene A. Hoo. 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 Karlene A. Hoo. The network helps show where Karlene A. Hoo may publish in the future.
Co-authorship network of co-authors of Karlene A. Hoo
This figure shows the co-authorship network connecting the top 25 collaborators of Karlene A. Hoo. A scholar is included among the top collaborators of Karlene A. Hoo 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 Karlene A. Hoo. Karlene A. Hoo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 12 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | Optimal model-based reservoir management with model parameter uncertainty updates | 3 |
| 6 | 18 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 10 | |
| 10 | 8 | |
| 11 | 30 | |
| 12 | 1 | |
| 13 | 15 | |
| 14 | 4 | |
| 15 | 11 | |
| 16 | 23 | |
| 17 | 1 | |
| 18 | 6 | |
| 19 | 14 | |
| 20 | 16 |
About Karlene A. Hoo
Karlene A. Hoo is a scholar working on Control and Systems Engineering, Numerical Analysis and Architecture, having authored 64 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (23 papers), Fault Detection and Control Systems (20 papers) and Model Reduction and Neural Networks (6 papers). The work is most often cited by research in Control and Systems Engineering (651 citations), Statistics, Probability and Uncertainty (73 citations) and Statistical and Nonlinear Physics (91 citations). Karlene A. Hoo has collaborated with scholars based in United States and China. Frequent co-authors include Jeffrey C. Kantor, Michael J. Piovoso, Gary M. Gladysz, Yingying Chen, Phillip D. Schnelle, Xi Zhang, Uzi Mann, Yingying Chen, Arun V. Krishnan and H. F. Janssen. Their work appears in journals such as Journal of Materials Science, Industrial & Engineering Chemistry Research and IEEE Transactions on Biomedical Engineering.
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.