Κ.J. Åström

2.4k citations
15 papers · 1.7k indexed · 2 hit papers · h-index 12
Topics
Advanced Control Systems Optimization (8 papers)Advanced Control Systems Design (5 papers)Iterative Learning Control Systems (4 papers)
Partner nations
SwedenAustraliaSpain

In The Last Decade

Κ.J. Åström

14 papers receiving 1.6k citations

Hit Papers

Revisiting the Ziegler–Nichols st...197020261988200720041970250500750

Peers

Κ.J. Åström
Comparison fields: 5 of 140
  • Control and Systems Engineering 1.2k
  • Electrical and Electronic Engineering 163
  • Molecular Biology 156
  • Artificial Intelligence 120
  • Mechanical Engineering 117
Replace Shyam Krishna Nagar with:
Shyam Krishna Nagar India
Evanghelos Zafiriou United States
H. Unbehauen Germany
Seddik M. Djouadi United States
N.K. Bose United States
Katalin M. Hangos Hungary
J.Β. Moore Australia
Torkel Glad Sweden
Alessandro D’Innocenzo Italy
Raúl Ordóñez United States
Κ.J. Åström relative to Shyam Krishna Nagar India Shyam Krishna Nagar's profile →
Citations per field
00.5×10×20×26×
Shyam Krishna Nagar · 1×
Citations per year

Countries citing papers authored by Κ.J. Åström

Since Specialization
Citations

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

Fields of papers citing papers by Κ.J. Åström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Κ.J. Åström. 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 Κ.J. Åström. The network helps show where Κ.J. Åström may publish in the future.

Co-authorship network of co-authors of Κ.J. Åström

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 17
2 13
3
Revisiting the Ziegler–Nichols step response method for PID controlbreakdown →
765
4 69
5 29
6 22
7 41
8 2
9 27
10 3
11 43
12 30
13 1
14 47
15
On structural identifiabilitybreakdown →
594

About Κ.J. Åström

Κ.J. Åström is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Media Technology, having authored 15 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (8 papers), Advanced Control Systems Design (5 papers) and Iterative Learning Control Systems (4 papers). The work is most often cited by research in Control and Systems Engineering (1.2k citations), Modeling and Simulation (44 citations) and Statistics, Probability and Uncertainty (66 citations). Κ.J. Åström has collaborated with scholars based in Sweden, Australia and Spain. Frequent co-authors include T. Hägglund, Richard Bellman, Tore Hägglund, O.A. Asbjørnsen, Riccardo Scattolini, Lalo Magni, Y. Piguet, Manuel Berenguel, S. Dormido and José Luís Guzmán. Their work appears in journals such as Automatica, Chemical Engineering Science and Mathematical Biosciences.

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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