N. Lehtomaki

738 citations
10 papers · 490 indexed · h-index 6
Topics
Control Systems and Identification (4 papers)Fault Detection and Control Systems (3 papers)Speech and Audio Processing (2 papers)
Journals
IEEE Transactions on Automatic ControlThe Journal of the Acoustical Society of AmericaDSpace@MIT (Massachusetts Institute of Technology)
Partner nations
United States

In The Last Decade

N. Lehtomaki

9 papers receiving 457 citations

Peers

N. Lehtomaki
Comparison fields: 5 of 45
  • Control and Systems Engineering 421
  • Aerospace Engineering 79
  • Statistics, Probability and Uncertainty 71
  • Statistical and Nonlinear Physics 58
  • Computational Theory and Mathematics 46
Replace Wei-Min Lu with:
Wei-Min Lu United States
Ching-An Lin Taiwan
R. Lane Dailey United States
D. Brett Ridgely United States
J.M. Krause United States
J.-F. Magni France
G. Ferreres France
Α. Gallo Italy
Sergey A. Nazin Russia
Murray Kerr United Kingdom
N. Lehtomaki relative to Wei-Min Lu United States Wei-Min Lu's profile →
Citations per field
00.5×3.7×
Wei-Min Lu · 1×
Citations per year

Countries citing papers authored by N. Lehtomaki

Since Specialization
Citations

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

Fields of papers citing papers by N. Lehtomaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. Lehtomaki. 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 N. Lehtomaki. The network helps show where N. Lehtomaki may publish in the future.

Co-authorship network of co-authors of N. Lehtomaki

This figure shows the co-authorship network connecting the top 25 collaborators of N. Lehtomaki. A scholar is included among the top collaborators of N. Lehtomaki 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 N. Lehtomaki. N. Lehtomaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 0
2 1
3 46
4 8
5 386
6 16
7
Practical robustness measures in multivariable control system analysis. Ph.D. Thesis
6
8
Robustness results in LQG based multivariable control designs
22
9 4
10
Iterative decomposition of the Lyapunov and Riccati equations
1

About N. Lehtomaki

N. Lehtomaki is a scholar working on Control and Systems Engineering, Signal Processing and Numerical Analysis, having authored 10 papers that have together received 490 indexed citations. Recurring topics across this work include Control Systems and Identification (4 papers), Fault Detection and Control Systems (3 papers) and Speech and Audio Processing (2 papers). The work is most often cited by research in Control and Systems Engineering (421 citations), Statistics, Probability and Uncertainty (71 citations) and Numerical Analysis (29 citations). N. Lehtomaki has collaborated with scholars based in United States. Frequent co-authors include Michael Athans, N. Sandell, David A. Castañón, Bernard C. Levy, G. Stein, Joseph E. Wall, G Stein, Steve Chan and John Davies. Their work appears in journals such as IEEE Transactions on Automatic Control, The Journal of the Acoustical Society of America and DSpace@MIT (Massachusetts Institute of Technology).

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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