H. Elliott
- Control and Systems Engineering top 1%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Computational Mechanics top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- W. WolovichR. CristiGraham C. GoodwinM. DasPanos J. AntsaklisE.K. TeohMadhumita DasLouis L. Scharf
- Topics
- Control Systems and Identification (15 papers)Adaptive Control of Nonlinear Systems (11 papers)Advanced Control Systems Optimization (9 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionComputational Mechanics
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
H. Elliott
36 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 76
- Control and Systems Engineering 898
- Computer Vision and Pattern Recognition 211
- Artificial Intelligence 138
- Computational Mechanics 124
- Computational Theory and Mathematics 88
Countries citing papers authored by H. Elliott
This map shows the geographic impact of H. Elliott'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 H. Elliott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Elliott more than expected).
Fields of papers citing papers by H. Elliott
This network shows the impact of papers produced by H. Elliott. 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 H. Elliott. The network helps show where H. Elliott may publish in the future.
Co-authorship network of co-authors of H. Elliott
This figure shows the co-authorship network connecting the top 25 collaborators of H. Elliott. A scholar is included among the top collaborators of H. Elliott 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 H. Elliott. H. Elliott is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 6 | |
| 3 | 6 | |
| 4 | 115 | |
| 5 | 215 | |
| 6 | 41 | |
| 7 | 2 | |
| 8 | 20 | |
| 9 | 0 | |
| 10 | 35 | |
| 11 | 53 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | Image segmentation using simple Markov, field models | 1 |
| 16 | 6 | |
| 17 | 42 | |
| 18 | 2 | |
| 19 | 42 | |
| 20 | 1 |
About H. Elliott
H. Elliott is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Numerical Analysis, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include Control Systems and Identification (15 papers), Adaptive Control of Nonlinear Systems (11 papers) and Advanced Control Systems Optimization (9 papers). The work is most often cited by research in Control and Systems Engineering (898 citations), Computer Vision and Pattern Recognition (211 citations) and Computational Mechanics (124 citations). H. Elliott has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include W. Wolovich, R. Cristi, Graham C. Goodwin, M. Das, Panos J. Antsaklis, E.K. Teoh, Madhumita Das, Louis L. Scharf, David B. Cooper and Fernand S. Cohen. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica and International Journal of Control.
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.