Divya Garg
- Aerospace Engineering top 1%
- Control and Systems Engineering top 5%
- Numerical Analysis top 5%
- Computer Vision and Pattern Recognition top 5%
- Astronomy and Astrophysics top 10%
- Co-authors
- Anil V. RaoWilliam W. HagerGeoffrey T. HuntingtonMichael PattersonDavid A. BensonChristopher L. DarbyCamila FrancolinJanakiram Vaitla
- Topics
- Spacecraft Dynamics and Control (8 papers)Aerospace Engineering and Control Systems (4 papers)Space Satellite Systems and Control (3 papers)
- Partner nations
- United StatesAustraliaIndia
In The Last Decade
Divya Garg
11 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Aerospace Engineering 849
- Control and Systems Engineering 314
- Numerical Analysis 176
- Computer Vision and Pattern Recognition 156
- Astronomy and Astrophysics 137
Countries citing papers authored by Divya Garg
This map shows the geographic impact of Divya Garg'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 Divya Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Divya Garg more than expected).
Fields of papers citing papers by Divya Garg
This network shows the impact of papers produced by Divya Garg. 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 Divya Garg. The network helps show where Divya Garg may publish in the future.
Co-authorship network of co-authors of Divya Garg
This figure shows the co-authorship network connecting the top 25 collaborators of Divya Garg. A scholar is included among the top collaborators of Divya Garg 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 Divya Garg. Divya Garg 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 | 20 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 248 | |
| 7 | 45 | |
| 8 | ADVANCES IN GLOBAL PSEUDOSPECTRAL METHODS FOR OPTIMAL CONTROL | 89 |
| 9 | 2 | |
| 10 | A unified framework for the numerical solution of optimal control problems using pseudospectral methodsbreakdown → | 521 |
| 11 | 12 | |
| 12 | Direct trajectory optimization and costate estimation of finite-horizon and infinite-horizon optimal control problems using a Radau pseudospectral methodbreakdown → | 288 |
| 13 | 35 |
About Divya Garg
Divya Garg is a scholar working on Numerical Analysis, Aerospace Engineering and Astronomy and Astrophysics, having authored 13 papers that have together received 1.3k indexed citations. Recurring topics across this work include Spacecraft Dynamics and Control (8 papers), Aerospace Engineering and Control Systems (4 papers) and Space Satellite Systems and Control (3 papers). The work is most often cited by research in Aerospace Engineering (849 citations), Numerical Analysis (176 citations) and Control and Systems Engineering (314 citations). Divya Garg has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Anil V. Rao, William W. Hager, Geoffrey T. Huntington, Michael Patterson, David A. Benson, Christopher L. Darby, Camila Francolin, Janakiram Vaitla, Michael Patterson and Nikhil Mehta. Their work appears in journals such as Automatica, Journal of Hepatology and Journal of Spacecraft and Rockets.
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.