D.G. Meyer

803 citations
36 papers · 569 · h-index 11

Impact in

Papers in

D.G. Meyer

32 papers receiving 525 citations

Peers

D.G. Meyer
Comparison fields: 5 of 55
  • Numerical Analysis 112
  • Statistical and Nonlinear Physics 208
  • Control and Systems Engineering 364
  • Architecture 18
  • Statistics, Probability and Uncertainty 59
Replace Juing‐Huei Su with:
Juing‐Huei Su Taiwan
R. Gorez Belgium
Takao Fujii Japan
R. Betancourt Mexico
David A. Wilson United Kingdom
Zhuquan Zang Australia
João Maurício Rosário Brazil
Alok Kumar India
Salim Ibrir Saudi Arabia
Weehong Tan United States
D.G. Meyer relative to Juing‐Huei Su Taiwan Juing‐Huei Su's profile →
Citations per field
00.5×11.8×
Juing‐Huei Su · 1×
Citations per year

Countries citing papers authored by D.G. Meyer

Since Specialization
Citations

This map shows the geographic impact of D.G. Meyer'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 D.G. Meyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D.G. Meyer more than expected).

Fields of papers citing papers by D.G. Meyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.G. Meyer. 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 D.G. Meyer. The network helps show where D.G. Meyer may publish in the future.

Co-authors

The 12 scholars most cited alongside D.G. Meyer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D.G. Meyer Line = papers co-authored together D.G. Meyer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996107
2 199088
3 199068
4 199062
5 198752
6 200238
7 199232
8 200623
9 199816
10 198816
11 200214
12 20037
13 20025
14 20024
15 20024
16 20034
17 19904
18 20023
19 19983
20 19912

About D.G. Meyer

D.G. Meyer is a scholar working on Control and Systems Engineering, Statistical and Nonlinear Physics, Media Technology, Education and Computer Science Applications, having authored 36 papers that have together received 569 indexed citations. Recurring topics across this work include Experimental Learning in Engineering (7 papers), Model Reduction and Neural Networks (7 papers), Stability and Control of Uncertain Systems (7 papers), Control Systems and Identification (6 papers), Learning Styles and Cognitive Differences (4 papers), Advanced Control Systems Optimization (4 papers), Stability and Controllability of Differential Equations (3 papers) and Open Education and E-Learning (3 papers). The work is most often cited by research in Numerical Analysis (112 citations), Statistical and Nonlinear Physics (208 citations), Control and Systems Engineering (364 citations), Architecture (18 citations) and Statistics, Probability and Uncertainty (59 citations). D.G. Meyer has collaborated with scholars based in United States. Frequent co-authors include John Hauser, G.F. Franklin, Albert Reuther, Cornelia Niessen, H.N.G. Wadley, Munther A. Dahleh, V. Balakrishnan, Stephen A. Norman, Alexander Engelmann and Russel E. Caflisch. Their work appears in journals such as IEEE Transactions on Automatic Control, Journal of Parallel and Distributed Computing, IEEE Transactions on Robotics and Automation, IEEE Control Systems and IFAC Proceedings Volumes.

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.

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