David A. Neal
- Aerospace Engineering top 5%
- Atomic and Molecular Physics, and Optics
- Control and Systems Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Co-authors
- Daniel R. NealDaniel J. InmanChristopher O. JohnstonWilliam H. MasonHarry RobertshawT. Michael SeiglerCraig A. KlueverDaniel Inman
- Topics
- Aerospace and Aviation Technology (6 papers)Aeroelasticity and Vibration Control (5 papers)Computational Fluid Dynamics and Aerodynamics (4 papers)
- Cited by
- Aerospace EngineeringControl and Systems EngineeringComputer Vision and Pattern Recognition
- Journals
- Journal of Guidance Control and DynamicsJournal of AircraftDigital Commons - USU (Utah State University)
- Partner nations
- United StatesSouth Korea
In The Last Decade
David A. Neal
17 papers receiving 470 citations
Peers
Comparison fields: 5 of 46
- Aerospace Engineering 294
- Atomic and Molecular Physics, and Optics 125
- Control and Systems Engineering 121
- Computer Vision and Pattern Recognition 89
- Electrical and Electronic Engineering 83
Countries citing papers authored by David A. Neal
This map shows the geographic impact of David A. Neal'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 A. Neal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Neal more than expected).
Fields of papers citing papers by David A. Neal
This network shows the impact of papers produced by David A. Neal. 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 A. Neal. The network helps show where David A. Neal may publish in the future.
Co-authorship network of co-authors of David A. Neal
This figure shows the co-authorship network connecting the top 25 collaborators of David A. Neal. A scholar is included among the top collaborators of David A. Neal 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 A. Neal. David A. Neal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 29 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 8 | |
| 11 | 33 | |
| 12 | 115 | |
| 13 | 14 | |
| 14 | 14 | |
| 15 | 70 | |
| 16 | 30 | |
| 17 | 9 | |
| 18 | 33 | |
| 19 | 3 | |
| 20 | 127 |
About David A. Neal
David A. Neal is a scholar working on Aerospace Engineering, Media Technology and Control and Systems Engineering, having authored 20 papers that have together received 504 indexed citations. Recurring topics across this work include Aerospace and Aviation Technology (6 papers), Aeroelasticity and Vibration Control (5 papers) and Computational Fluid Dynamics and Aerodynamics (4 papers). The work is most often cited by research in Aerospace Engineering (294 citations), Control and Systems Engineering (121 citations) and Computer Vision and Pattern Recognition (89 citations). David A. Neal has collaborated with scholars based in United States and South Korea. Frequent co-authors include Daniel R. Neal, Daniel J. Inman, Christopher O. Johnston, William H. Mason, Harry Robertshaw, T. Michael Seigler, Craig A. Kluever, Daniel Inman, Justin Farmer and John Schierman. Their work appears in journals such as Journal of Guidance Control and Dynamics, Journal of Aircraft and Digital Commons - USU (Utah State 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.