Farhad A. Goodarzi
- Control and Systems Engineering top 5%
- Aerospace Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Mechanical Engineering
- Co-authors
- Taeyoung LeeDaewon LeeArun K. BanerjeeMohammad Hamiruce MarhabanFakhrul Zaman RokhaniM. Iqbal Saripan
- Topics
- Adaptive Control of Nonlinear Systems (7 papers)Control and Dynamics of Mobile Robots (6 papers)Guidance and Control Systems (2 papers)
- Cited by
- Control and Systems EngineeringAerospace EngineeringComputer Vision and Pattern Recognition
- Journals
- Journal of Dynamic Systems Measurement and ControlJournal of Intelligent & Robotic SystemsThe Journal of the Astronautical Sciences
- Partner nations
- United StatesMalaysia
In The Last Decade
Farhad A. Goodarzi
10 papers receiving 349 citations
Peers
Comparison fields: 5 of 29
- Control and Systems Engineering 275
- Aerospace Engineering 161
- Computer Vision and Pattern Recognition 117
- Computer Networks and Communications 80
- Mechanical Engineering 26
Countries citing papers authored by Farhad A. Goodarzi
This map shows the geographic impact of Farhad A. Goodarzi'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 Farhad A. Goodarzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farhad A. Goodarzi more than expected).
Fields of papers citing papers by Farhad A. Goodarzi
This network shows the impact of papers produced by Farhad A. Goodarzi. 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 Farhad A. Goodarzi. The network helps show where Farhad A. Goodarzi may publish in the future.
Co-authorship network of co-authors of Farhad A. Goodarzi
This figure shows the co-authorship network connecting the top 25 collaborators of Farhad A. Goodarzi. A scholar is included among the top collaborators of Farhad A. Goodarzi 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 Farhad A. Goodarzi. Farhad A. Goodarzi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 2 | |
| 3 | 12 | |
| 4 | 1 | |
| 5 | 74 | |
| 6 | 39 | |
| 7 | 1 | |
| 8 | 82 | |
| 9 | 122 | |
| 10 | 8 |
About Farhad A. Goodarzi
Farhad A. Goodarzi is a scholar working on Control and Systems Engineering, Aerospace Engineering and Computer Vision and Pattern Recognition, having authored 10 papers that have together received 358 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (7 papers), Control and Dynamics of Mobile Robots (6 papers) and Guidance and Control Systems (2 papers). The work is most often cited by research in Control and Systems Engineering (275 citations), Aerospace Engineering (161 citations) and Computer Vision and Pattern Recognition (117 citations). Farhad A. Goodarzi has collaborated with scholars based in United States and Malaysia. Frequent co-authors include Taeyoung Lee, Daewon Lee, Arun K. Banerjee, Mohammad Hamiruce Marhaban, Fakhrul Zaman Rokhani and M. Iqbal Saripan. Their work appears in journals such as Journal of Dynamic Systems Measurement and Control, Journal of Intelligent & Robotic Systems and The Journal of the Astronautical 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.