Masoud Ghaffari
- Control and Systems Engineering top 1%
- Mechanical Engineering top 5%
- Safety, Risk, Reliability and Quality top 1%
- Mechanics of Materials top 5%
- Industrial and Manufacturing Engineering top 2%
- Co-authors
- Jay LeeLinxia LiaoWenyu ZhaoDavid SiegelErnest L. HallBalaji SethuramasamyrajaJaber SoltaniAsh Genaidy
- Topics
- Robotic Path Planning Algorithms (6 papers)Adaptive Control of Nonlinear Systems (3 papers)Reinforcement Learning in Robotics (3 papers)
- Cited by
- Medical Laboratory TechnologyControl and Systems EngineeringSafety, Risk, Reliability and Quality
- Partner nations
- United StatesJordanIran
In The Last Decade
Masoud Ghaffari
16 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Control and Systems Engineering 934
- Mechanical Engineering 431
- Safety, Risk, Reliability and Quality 309
- Mechanics of Materials 297
- Industrial and Manufacturing Engineering 174
Countries citing papers authored by Masoud Ghaffari
This map shows the geographic impact of Masoud Ghaffari'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 Masoud Ghaffari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masoud Ghaffari more than expected).
Fields of papers citing papers by Masoud Ghaffari
This network shows the impact of papers produced by Masoud Ghaffari. 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 Masoud Ghaffari. The network helps show where Masoud Ghaffari may publish in the future.
Co-authorship network of co-authors of Masoud Ghaffari
This figure shows the co-authorship network connecting the top 25 collaborators of Masoud Ghaffari. A scholar is included among the top collaborators of Masoud Ghaffari 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 Masoud Ghaffari. Masoud Ghaffari 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 | 3 | |
| 3 | Prognostics and health management design for rotary machinery systems—Reviews, methodology and applicationsbreakdown → | 1144 |
| 4 | 120 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | Perception-based control for intelligent systems | 1 |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 7 | |
| 13 | 9 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 5 | |
| 17 | 1 | |
| 18 | 6 |
About Masoud Ghaffari
Masoud Ghaffari is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Radiological and Ultrasound Technology, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (6 papers), Adaptive Control of Nonlinear Systems (3 papers) and Reinforcement Learning in Robotics (3 papers). The work is most often cited by research in Medical Laboratory Technology (120 citations), Control and Systems Engineering (934 citations) and Safety, Risk, Reliability and Quality (309 citations). Masoud Ghaffari has collaborated with scholars based in United States, Jordan and Iran. Frequent co-authors include Jay Lee, Linxia Liao, Wenyu Zhao, David Siegel, Ernest L. Hall, Balaji Sethuramasamyraja, Jaber Soltani, Ash Genaidy, Xiaolong Liao and Alireza Ghaffari. Their work appears in journals such as Mechanical Systems and Signal Processing, Annual Reviews in Control and Modern Applied Science.
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.