Michael Elgersma
- Control and Systems Engineering top 5%
- Aerospace Engineering top 10%
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Computational Mechanics
- Co-authors
- Dale EnnsPetros G. VoulgarisSonja GlavaškiBlaise MortonKevin A. WiseJoseph BrinkerAnthony CaliseG. Stein
- Topics
- Fault Detection and Control Systems (10 papers)Adaptive Control of Nonlinear Systems (6 papers)Advanced Control Systems Optimization (6 papers)
- Partner nations
- United StatesAustraliaItaly
In The Last Decade
Michael Elgersma
27 papers receiving 280 citations
Peers
Comparison fields: 5 of 45
- Control and Systems Engineering 240
- Aerospace Engineering 130
- Artificial Intelligence 24
- Computer Vision and Pattern Recognition 18
- Computational Mechanics 18
Countries citing papers authored by Michael Elgersma
This map shows the geographic impact of Michael Elgersma'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 Michael Elgersma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Elgersma more than expected).
Fields of papers citing papers by Michael Elgersma
This network shows the impact of papers produced by Michael Elgersma. 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 Michael Elgersma. The network helps show where Michael Elgersma may publish in the future.
Co-authorship network of co-authors of Michael Elgersma
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Elgersma. A scholar is included among the top collaborators of Michael Elgersma 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 Michael Elgersma. Michael Elgersma 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 | 1 | |
| 3 | Adaptive Multigrid Solution of Stokes' Equation on CELL Processor | 3 |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 10 | |
| 7 | 12 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 6 | |
| 12 | 4 | |
| 13 | 15 | |
| 14 | 64 | |
| 15 | 26 | |
| 16 | 3 | |
| 17 | 25 | |
| 18 | 1 | |
| 19 | 4 | |
| 20 | 54 |
About Michael Elgersma
Michael Elgersma is a scholar working on Theoretical Computer Science, Control and Systems Engineering and Aerospace Engineering, having authored 28 papers that have together received 299 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (10 papers), Adaptive Control of Nonlinear Systems (6 papers) and Advanced Control Systems Optimization (6 papers). The work is most often cited by research in Control and Systems Engineering (240 citations), Aerospace Engineering (130 citations) and Automotive Engineering (11 citations). Michael Elgersma has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Dale Enns, Petros G. Voulgaris, Sonja Glavaški, Blaise Morton, Kevin A. Wise, Joseph Brinker, Anthony Calise, G. Stein, Mike Jackson and Vivek Sharma. Their work appears in journals such as Journal of Guidance Control and Dynamics, IEEE Control Systems and Mechanism and Machine Theory.
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.