Daniel Jaeggi
Impact in
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- Advanced Multi-Objective Optimization Algorithms
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- Probabilistic and Robust Engineering Design
Papers in
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- Advanced Multi-Objective Optimization Algorithms 7
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- Turbomachinery Performance and Optimization 3
- Co-authors
- P. John Clarkson (5 shared papers)Timoleon Kipouros (4 shared papers)GT Parks (2 shared papers)Ramón Aragüés (1 shared paper)Baldo Oliva (1 shared paper)Geoffrey T. Parks (3 shared papers)William N. Dawes (3 shared papers)Mark Savill (3 shared papers)
- Journals
- Engineering Optimization (1 paper)Bioinformatics (1 paper)European Journal of Operational Research (1 paper)AIAA Journal (1 paper)Computer Modeling in Engineering & Sciences (1 paper)
- Partner nations
- United KingdomSpainSouth Sudan
In The Last Decade
Daniel Jaeggi
9 papers receiving 272 citations
Peers
Comparison fields: 5 of 72
- Computational Theory and Mathematics 118
- Statistics, Probability and Uncertainty 43
- Computer Graphics and Computer-Aided Design 18
- Aerospace Engineering 73
- Industrial and Manufacturing Engineering 29
Countries citing papers authored by Daniel Jaeggi
This map shows the geographic impact of Daniel Jaeggi'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 Daniel Jaeggi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Jaeggi more than expected).
Fields of papers citing papers by Daniel Jaeggi
This network shows the impact of papers produced by Daniel Jaeggi. 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 Daniel Jaeggi. The network helps show where Daniel Jaeggi may publish in the future.
Co-authors
The 14 scholars most cited alongside Daniel Jaeggi, 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 | 2006 | 115 | |
| 2 | 2006 | 51 | |
| 3 | 2008 | 50 | |
| 4 | 2009 | 25 | |
| 5 | 2010 | 18 | |
| 6 | 2008 | 14 | |
| 7 | 2005 | 11 | |
| 8 | 2008 | 6 | |
| 9 | 2005 | 2 |
About Daniel Jaeggi
Daniel Jaeggi is a scholar working on Computational Theory and Mathematics, Aerospace Engineering, Mechanical Engineering, Global and Planetary Change and Statistics, Probability and Uncertainty, having authored 9 papers that have together received 292 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (7 papers), Turbomachinery Performance and Optimization (3 papers), Advanced Aircraft Design and Technologies (2 papers), Probabilistic and Robust Engineering Design (2 papers), Heat Transfer and Optimization (1 paper), Silicon Carbide Semiconductor Technologies (1 paper), Wind and Air Flow Studies (1 paper) and Induction Heating and Inverter Technology (1 paper). The work is most often cited by research in Computational Theory and Mathematics (118 citations), Statistics, Probability and Uncertainty (43 citations), Computer Graphics and Computer-Aided Design (18 citations), Aerospace Engineering (73 citations) and Industrial and Manufacturing Engineering (29 citations). Daniel Jaeggi has collaborated with scholars based in United Kingdom, Spain and South Sudan. Frequent co-authors include P. John Clarkson, Timoleon Kipouros, GT Parks, Ramón Aragüés, Baldo Oliva, Geoffrey T. Parks, William N. Dawes, Mark Savill, Jerome P. Jarrett and Tiziano Ghisu. Their work appears in journals such as Engineering Optimization, Bioinformatics, European Journal of Operational Research, AIAA Journal and Computer Modeling in Engineering & Sciences.
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.