Dev Rajnarayan
Impact in
- Aerospace Engineering top 10%
- Guidance and Control Systems
- Robotics and Sensor-Based Localization
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- Robotic Path Planning Algorithms
Papers in
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- Computational Fluid Dynamics and Aerodynamics 4
- Fluid Dynamics and Turbulent Flows 3
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- Algorithms and Data Compression 2
- Machine Learning and Algorithms 2
- Metaheuristic Optimization Algorithms Research 2
- Co-authors
- Claire J. Tomlin (1 shared paper)Steven L. Waslander (1 shared paper)Gabriel Hoffmann (1 shared paper)Jung Soon Jang (1 shared paper)David H. Wolpert (7 shared papers)Ilan Kroo (4 shared papers)Peter Sturdza (3 shared papers)Charlie E. M. Strauss (1 shared paper)
- Journals
- Advances in Complex Systems (1 paper)Handbook of statistics (1 paper)29th AIAA Applied Aerodynamics Conference (1 paper)National Conference on Artificial Intelligence (1 paper)ScholarsArchive (Brigham Young University) (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Dev Rajnarayan
17 papers receiving 360 citations
Peers
Comparison fields: 5 of 53
- Aerospace Engineering 190
- Computer Vision and Pattern Recognition 123
- Control and Systems Engineering 130
- Statistics, Probability and Uncertainty 38
- Computational Theory and Mathematics 64
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-authors
The 12 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 | 2005 | 234 | |
| 2 | 2008 | 34 | |
| 3 | 2006 | 27 | |
| 4 | 2018 | 19 | |
| 5 | 2004 | 18 | |
| 6 | 2007 | 11 | |
| 7 | 2011 | 9 | |
| 8 | 2013 | 8 | |
| 9 | 2006 | 7 | |
| 10 | Multifidelity Analysis and Optimization for Supersonic Design | 2010 | 7 |
| 11 | 2013 | 5 | |
| 12 | 2019 | 5 | |
| 13 | Trading risk and performance for engineering design optimization using multifidelity analyses | 2009 | 4 |
| 14 | 2014 | 4 | |
| 15 | Using machine learning to improve stochastic optimization | 2013 | 3 |
| 16 | 2014 | 3 | |
| 17 | 2010 | 1 | |
| 18 | 2018 | 0 |
About Dev Rajnarayan
Dev Rajnarayan is a scholar working on Computational Mechanics, Artificial Intelligence, Aerospace Engineering, Computational Theory and Mathematics and Management Science and Operations Research, having authored 18 papers that have together received 399 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (4 papers), Computational Fluid Dynamics and Aerodynamics (4 papers), Probabilistic and Robust Engineering Design (3 papers), Fluid Dynamics and Turbulent Flows (3 papers), Air Traffic Management and Optimization (2 papers), Algorithms and Data Compression (2 papers), Machine Learning and Algorithms (2 papers) and Metaheuristic Optimization Algorithms Research (2 papers). The work is most often cited by research in Aerospace Engineering (190 citations), Computer Vision and Pattern Recognition (123 citations), Control and Systems Engineering (130 citations), Statistics, Probability and Uncertainty (38 citations) and Computational Theory and Mathematics (64 citations). Dev Rajnarayan has collaborated with scholars based in United States and India. Frequent co-authors include Claire J. Tomlin, Steven L. Waslander, Gabriel Hoffmann, Jung Soon Jang, David H. Wolpert, Ilan Kroo, Peter Sturdza, Charlie E. M. Strauss, Debasish Ghose and Andrew Ning. Their work appears in journals such as Advances in Complex Systems, Handbook of statistics, 29th AIAA Applied Aerodynamics Conference, National Conference on Artificial Intelligence and ScholarsArchive (Brigham Young University).
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.