Hassan K. Khalil
- Control and Systems Engineering top 0.02%
- Electrical and Electronic Engineering top 2%
- Computer Networks and Communications top 0.5%
- Aerospace Engineering top 0.5%
- Artificial Intelligence top 1%
- Co-authors
- P.V. KokotovićJ. O’ReillyF. EsfandiariA.N. AtassiSridhar SeshagiriAli SaberiFu-Chuang ChenLeonid B. Freidovich
- Topics
- Adaptive Control of Nonlinear Systems (137 papers)Advanced Control Systems Optimization (81 papers)Iterative Learning Control Systems (53 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Automatic ControlAutomatica
- Partner nations
- United StatesChinaFrance
In The Last Decade
Hassan K. Khalil
274 papers receiving 12.8k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Control and Systems Engineering 11.0k
- Electrical and Electronic Engineering 1.5k
- Computer Networks and Communications 1.5k
- Aerospace Engineering 1.3k
- Artificial Intelligence 1.1k
Countries citing papers authored by Hassan K. Khalil
This map shows the geographic impact of Hassan K. Khalil'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 Hassan K. Khalil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hassan K. Khalil more than expected).
Fields of papers citing papers by Hassan K. Khalil
This network shows the impact of papers produced by Hassan K. Khalil. 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 Hassan K. Khalil. The network helps show where Hassan K. Khalil may publish in the future.
Co-authorship network of co-authors of Hassan K. Khalil
This figure shows the co-authorship network connecting the top 25 collaborators of Hassan K. Khalil. A scholar is included among the top collaborators of Hassan K. Khalil 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 Hassan K. Khalil. Hassan K. Khalil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 26 | |
| 3 | 32 | |
| 4 | 27 | |
| 5 | 46 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | Output feedback control of nonlinear systems using RBF neural networksbreakdown → | 441 |
| 12 | 4 | |
| 13 | 9 | |
| 14 | 2 | |
| 15 | 4 | |
| 16 | Singular perturbations in systems and control | 131 |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 34 | |
| 20 | 8 |
About Hassan K. Khalil
Hassan K. Khalil is a scholar working on Control and Systems Engineering, Numerical Analysis and Statistical and Nonlinear Physics, having authored 280 papers that have together received 13.5k indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (137 papers), Advanced Control Systems Optimization (81 papers) and Iterative Learning Control Systems (53 papers). The work is most often cited by research in Control and Systems Engineering (11.0k citations), Numerical Analysis (940 citations) and Statistical and Nonlinear Physics (801 citations). Hassan K. Khalil has collaborated with scholars based in United States, China and France. Frequent co-authors include P.V. Kokotović, J. O’Reilly, F. Esfandiari, A.N. Atassi, Sridhar Seshagiri, Ali Saberi, Fu-Chuang Chen, Leonid B. Freidovich, Jeffrey H. Ahrens and A. M. Dabroom. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Automatica.
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.