Dev Rajnarayan
- Aerospace Engineering top 10%
- Turbomachinery Performance and Optimization 2
- Air Traffic Management and Optimization 2
- Control and Systems Engineering top 10%
- Real-time simulation and control systems 1
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- Probabilistic and Robust Engineering Design 3
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- Advanced Multi-Objective Optimization Algorithms 4
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- Computational Fluid Dynamics and Aerodynamics 4
- Fluid Dynamics and Turbulent Flows 3
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- Gaussian Processes and Bayesian Inference 2
- Co-authors
- Gabriel HoffmannClaire J. TomlinSteven L. WaslanderJung Soon JangIlan KrooDavid H. WolpertDebasish GhosePeter Sturdza
- Cited by
- Aerospace EngineeringControl and Systems EngineeringComputer Vision and Pattern Recognition
- Journals
- Advances in Complex Systems (1 paper)48th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference (1 paper)51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Dev Rajnarayan
14 papers receiving 318 citations
Peers
Comparison fields: 5 of 49
- Aerospace Engineering 177
- Control and Systems Engineering 121
- Computer Vision and Pattern Recognition 105
- Statistics, Probability and Uncertainty 35
- Computational Theory and Mathematics 57
Countries citing papers authored by Dev Rajnarayan
This map shows the geographic impact of Dev Rajnarayan'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 Dev Rajnarayan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dev Rajnarayan more than expected).
Fields of papers citing papers by Dev Rajnarayan
This network shows the impact of papers produced by Dev Rajnarayan. 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 Dev Rajnarayan. The network helps show where Dev Rajnarayan may publish in the future.
Co-authorship network
The 11 scholars most cited alongside Dev Rajnarayan, 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 | 2019 | 4 | |
| 2 | 2018 | 0 | |
| 3 | 2018 | 17 | |
| 4 | 2014 | 4 | |
| 5 | Using machine learning to improve stochastic optimization | 2013 | 3 |
| 6 | 2013 | 5 | |
| 7 | 2011 | 9 | |
| 8 | Multifidelity Analysis and Optimization for Supersonic Design | 2010 | 7 |
| 9 | Trading risk and performance for engineering design optimization using multifidelity analyses | 2009 | 4 |
| 10 | 2008 | 31 | |
| 11 | 2007 | 11 | |
| 12 | 2006 | 6 | |
| 13 | 2006 | 20 | |
| 14 | 2005 | 214 | |
| 15 | 2004 | 18 |
About Dev Rajnarayan
Dev Rajnarayan is a scholar working on Statistics, Probability and Uncertainty, Computational Mechanics, Computational Theory and Mathematics, Aerospace Engineering and Management Science and Operations Research, having authored 15 papers that have together received 353 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (4 papers), Computational Fluid Dynamics and Aerodynamics (4 papers), Fluid Dynamics and Turbulent Flows (3 papers), Probabilistic and Robust Engineering Design (3 papers), Turbomachinery Performance and Optimization (2 papers), Air Traffic Management and Optimization (2 papers), Gaussian Processes and Bayesian Inference (2 papers) and Real-time simulation and control systems (1 paper). The work is most often cited by research in Aerospace Engineering (177 citations), Control and Systems Engineering (121 citations), Computer Vision and Pattern Recognition (105 citations), Statistics, Probability and Uncertainty (35 citations) and Computational Theory and Mathematics (57 citations). Dev Rajnarayan has collaborated with scholars based in United States and India. Frequent co-authors include Gabriel Hoffmann, Claire J. Tomlin, Steven L. Waslander, Jung Soon Jang, Ilan Kroo, David H. Wolpert, Debasish Ghose, Peter Sturdza, Charlie E. M. Strauss and Andrew Ning. Their work appears in journals such as Advances in Complex Systems, 48th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition, ScholarsArchive (Brigham Young University) and 29th AIAA Applied Aerodynamics 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.