G. Sidhu
Impact in
- Control and Systems Engineering top 10%
- Control Systems and Identification
- Fault Detection and Control Systems
- Advanced Control Systems Optimization
Papers in
-
- Target Tracking and Data Fusion in Sensor Networks 4
- Neural Networks and Applications 2
-
- Control Systems and Identification 5
- Advanced Control Systems Optimization 2
- Co-authors
- T. Kailath (3 shared papers)M. Morf (2 shared papers)U.B. Desai (1 shared paper)E. Essadiqi (5 shared papers)S.D. Bhole (5 shared papers)D.L. Chen (5 shared papers)Howard L. Weinert (2 shared papers)G. Bierman (1 shared paper)
- Journals
- IEEE Transactions on Automatic Control (4 papers)Scripta Materialia (2 papers)IEEE Transactions on Information Theory (2 papers)Computational Materials Science (1 paper)Journal of Materials Engineering and Performance (1 paper)
- Partner nations
- CanadaUnited StatesMexico
In The Last Decade
G. Sidhu
14 papers receiving 240 citations
Peers
Comparison fields: 5 of 54
- Metals and Alloys 13
- Control and Systems Engineering 90
- Artificial Intelligence 114
- Signal Processing 28
- Applied Mathematics 24
Countries citing papers authored by G. Sidhu
This map shows the geographic impact of G. Sidhu'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 G. Sidhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Sidhu more than expected).
Fields of papers citing papers by G. Sidhu
This network shows the impact of papers produced by G. Sidhu. 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 G. Sidhu. The network helps show where G. Sidhu may publish in the future.
Co-authors
The 13 scholars most cited alongside G. Sidhu, 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 | 1974 | 144 | |
| 2 | 1976 | 31 | |
| 3 | 2010 | 24 | |
| 4 | 2011 | 19 | |
| 5 | 1978 | 16 | |
| 6 | 1974 | 13 | |
| 7 | 2012 | 11 | |
| 8 | 1977 | 8 | |
| 9 | 2016 | 5 | |
| 10 | 1972 | 3 | |
| 11 | 2011 | 2 | |
| 12 | 2013 | 1 | |
| 13 | 1973 | 1 | |
| 14 | 1975 | 1 |
About G. Sidhu
G. Sidhu is a scholar working on Artificial Intelligence, Control and Systems Engineering, Mechanical Engineering, Materials Chemistry and Computational Mechanics, having authored 14 papers that have together received 279 indexed citations. Recurring topics across this work include Control Systems and Identification (5 papers), Microstructure and Mechanical Properties of Steels (5 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers), Metal Alloys Wear and Properties (3 papers), Metallurgical Processes and Thermodynamics (2 papers), Advanced machining processes and optimization (2 papers), Advanced Control Systems Optimization (2 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Metals and Alloys (13 citations), Control and Systems Engineering (90 citations), Artificial Intelligence (114 citations), Signal Processing (28 citations) and Applied Mathematics (24 citations). G. Sidhu has collaborated with scholars based in Canada, United States and Mexico. Frequent co-authors include T. Kailath, M. Morf, U.B. Desai, E. Essadiqi, S.D. Bhole, D.L. Chen, Howard L. Weinert, G. Bierman, G.F. Franklin and A.K. Pilkey. Their work appears in journals such as IEEE Transactions on Automatic Control, Scripta Materialia, IEEE Transactions on Information Theory, Computational Materials Science and Journal of Materials Engineering and Performance.
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.