C. Makkar
Impact in
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- Adaptive Control of Nonlinear Systems
- Iterative Learning Control Systems
- Dynamics and Control of Mechanical Systems
- Advanced Control Systems Optimization
- Stability and Control of Uncertain Systems
- Mechanical Engineering top 10%
- Hydraulic and Pneumatic Systems
- Control Systems in Engineering
Papers in
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- Dynamics and Control of Mechanical Systems 5
- Adaptive Control of Nonlinear Systems 5
- Advanced Control Systems Optimization 3
- Control and Stability of Dynamical Systems 2
- Iterative Learning Control Systems 2
- Stability and Control of Uncertain Systems 1
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- Hydraulic and Pneumatic Systems 5
- Co-authors
- Warren E. Dixon (7 shared papers)Guoqiang Hu (5 shared papers)W. Gregory Sawyer (3 shared papers)William MacKunis (3 shared papers)P. M. Patre (3 shared papers)
- Journals
- IEEE Transactions on Automatic Control (2 papers)IEEE Transactions on Control Systems Technology (1 paper)
- Partner nations
- United States
In The Last Decade
C. Makkar
9 papers receiving 694 citations
Peers
Comparison fields: 5 of 37
- Control and Systems Engineering 602
- Mechanical Engineering 272
- Automotive Engineering 45
- Aerospace Engineering 74
- Computer Networks and Communications 66
Countries citing papers authored by C. Makkar
This map shows the geographic impact of C. Makkar'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 C. Makkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Makkar more than expected).
Fields of papers citing papers by C. Makkar
This network shows the impact of papers produced by C. Makkar. 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 C. Makkar. The network helps show where C. Makkar may publish in the future.
Co-authors
The 5 scholars most cited alongside C. Makkar, 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 | 2007 | 222 | |
| 2 | 2006 | 179 | |
| 3 | 2008 | 172 | |
| 4 | 2007 | 55 | |
| 5 | 2006 | 50 | |
| 6 | 2005 | 36 | |
| 7 | 2006 | 10 | |
| 8 | NONLINEAR MODELING, IDENTIFICATION, AND COMPENSATION FOR FRICTIONAL DISTURBANCES | 2006 | 4 |
| 9 | Asymptotic Tracking forSystems withStructured andUnstructured Uncertainties | 2006 | 1 |
About C. Makkar
C. Makkar is a scholar working on Control and Systems Engineering, Mechanical Engineering, Automotive Engineering, Biomedical Engineering and Infectious Diseases, having authored 9 papers that have together received 729 indexed citations. Recurring topics across this work include Dynamics and Control of Mechanical Systems (5 papers), Hydraulic and Pneumatic Systems (5 papers), Adaptive Control of Nonlinear Systems (5 papers), Advanced Control Systems Optimization (3 papers), Control and Stability of Dynamical Systems (2 papers), Iterative Learning Control Systems (2 papers), Brake Systems and Friction Analysis (1 paper) and Stability and Control of Uncertain Systems (1 paper). The work is most often cited by research in Control and Systems Engineering (602 citations), Mechanical Engineering (272 citations), Automotive Engineering (45 citations), Aerospace Engineering (74 citations) and Computer Networks and Communications (66 citations). C. Makkar has collaborated with scholars based in United States. Frequent co-authors include Warren E. Dixon, Guoqiang Hu, W. Gregory Sawyer, William MacKunis and P. M. Patre. Their work appears in journals such as IEEE Transactions on Automatic Control and IEEE Transactions on Control Systems Technology.
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.