David Japikse
- Mechanical Engineering top 5%
- Aerospace Engineering top 2%
- Computational Mechanics top 5%
- Mechanics of Materials top 10%
- Fluid Flow and Transfer Processes top 5%
- Co-authors
- O. E. BaljéNicholas C. BainesE. R. F. WinterMark R. AndersonJinhui ZhaoColin P. OsborneP. DewhurstDaniel Maynes
- Topics
- Turbomachinery Performance and Optimization (26 papers)Cavitation Phenomena in Pumps (9 papers)Fluid Dynamics and Turbulent Flows (8 papers)
- Journals
- International Journal of Heat and Mass TransferJournal of Media Literacy EducationSAE technical papers on CD-ROM/SAE technical paper series
- Partner nations
- United StatesCanadaGermany
In The Last Decade
David Japikse
49 papers receiving 943 citations
Peers
Comparison fields: 5 of 56
- Mechanical Engineering 683
- Aerospace Engineering 622
- Computational Mechanics 321
- Mechanics of Materials 187
- Fluid Flow and Transfer Processes 131
Countries citing papers authored by David Japikse
This map shows the geographic impact of David Japikse'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 Japikse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Japikse more than expected).
Fields of papers citing papers by David Japikse
This network shows the impact of papers produced by David Japikse. 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 Japikse. The network helps show where David Japikse may publish in the future.
Co-authorship network of co-authors of David Japikse
This figure shows the co-authorship network connecting the top 25 collaborators of David Japikse. A scholar is included among the top collaborators of David Japikse 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 Japikse. David Japikse is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 19 | |
| 3 | 11 | |
| 4 | Evaluation of neural networks for meanline model development | 1 |
| 5 | 10 | |
| 6 | Design Study of a Low-Cost LOX Turbopump | 1 |
| 7 | Overview of Industrial and Rocket Turbopump Inducer Design | 18 |
| 8 | 7 | |
| 9 | 8 | |
| 10 | 1 | |
| 11 | IGTC-73 Turbomachinery Design in the Age of Concurrent Engineering Total Agile Development(Session C-7 NEW DESIGN TECHNOLOGIES) | 1 |
| 12 | Agile engineering accelerates design | 5 |
| 13 | 18 | |
| 14 | 1 | |
| 15 | Advanced topics in turbomachinery technology | 7 |
| 16 | 6 | |
| 17 | 232 | |
| 18 | 4 | |
| 19 | 10 | |
| 20 | 17 |
About David Japikse
David Japikse is a scholar working on Aerospace Engineering, Discrete Mathematics and Combinatorics and Computational Mechanics, having authored 52 papers that have together received 1.0k indexed citations. Recurring topics across this work include Turbomachinery Performance and Optimization (26 papers), Cavitation Phenomena in Pumps (9 papers) and Fluid Dynamics and Turbulent Flows (8 papers). The work is most often cited by research in Aerospace Engineering (622 citations), Fluid Flow and Transfer Processes (131 citations) and Mechanical Engineering (683 citations). David Japikse has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include O. E. Baljé, Nicholas C. Baines, E. R. F. Winter, Mark R. Anderson, Jinhui Zhao, Colin P. Osborne, P. Dewhurst, Daniel Maynes, J. H. G. Howard and Mark Anderson. Their work appears in journals such as International Journal of Heat and Mass Transfer, Journal of Media Literacy Education and SAE technical papers on CD-ROM/SAE technical paper series.
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.