David L. Doel
- Control and Systems Engineering top 5%
- Biomedical Engineering
- Statistics, Probability and Uncertainty top 2%
- Fluid Flow and Transfer Processes top 5%
- Aerospace Engineering
- Topics
- Advanced Sensor Technologies Research (8 papers)Scientific Measurement and Uncertainty Evaluation (7 papers)Turbomachinery Performance and Optimization (4 papers)
- Cited by
- Statistics, Probability and UncertaintyFluid Flow and Transfer ProcessesControl and Systems Engineering
- Journals
- Journal of Engineering for Gas Turbines and PowerSMARTech Repository (Georgia Institute of Technology)25th Joint Propulsion Conference
- Partner nations
- United States
In The Last Decade
David L. Doel
14 papers receiving 325 citations
Peers
Comparison fields: 5 of 34
- Control and Systems Engineering 180
- Biomedical Engineering 122
- Statistics, Probability and Uncertainty 107
- Fluid Flow and Transfer Processes 79
- Aerospace Engineering 77
Countries citing papers authored by David L. Doel
This map shows the geographic impact of David L. Doel'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 David L. Doel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David L. Doel more than expected).
Fields of papers citing papers by David L. Doel
This network shows the impact of papers produced by David L. Doel. 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 David L. Doel. The network helps show where David L. Doel may publish in the future.
Co-authorship network of co-authors of David L. Doel
This figure shows the co-authorship network connecting the top 25 collaborators of David L. Doel. A scholar is included among the top collaborators of David L. Doel 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 David L. Doel. David L. Doel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 21 | |
| 3 | 38 | |
| 4 | Estimation of Turbofan Engine Performance Model Accuracy and Confidence Bounds | 6 |
| 5 | 11 | |
| 6 | 76 | |
| 7 | 104 | |
| 8 | 9 | |
| 9 | 24 | |
| 10 | 16 | |
| 11 | 3 | |
| 12 | 4 | |
| 13 | 7 | |
| 14 | Analysis of moisture condensation in engine inlet ducts | 7 |
About David L. Doel
David L. Doel is a scholar working on Statistics, Probability and Uncertainty, General Materials Science and Discrete Mathematics and Combinatorics, having authored 14 papers that have together received 351 indexed citations. Recurring topics across this work include Advanced Sensor Technologies Research (8 papers), Scientific Measurement and Uncertainty Evaluation (7 papers) and Turbomachinery Performance and Optimization (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (107 citations), Fluid Flow and Transfer Processes (79 citations) and Control and Systems Engineering (180 citations). David L. Doel has collaborated with scholars based in United States. Frequent co-authors include Bryce Roth, Dimitri N. Mavris, Rosemary Dyson and R. D. Zerkle. Their work appears in journals such as Journal of Engineering for Gas Turbines and Power, SMARTech Repository (Georgia Institute of Technology) and 25th Joint Propulsion Conference.
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.