Stefan F. Graebe

2.1k citations
22 papers · 1.6k indexed · 1 hit paper · h-index 11
Topics
Advanced Control Systems Optimization (18 papers)Fault Detection and Control Systems (11 papers)Control Systems and Identification (10 papers)
Partner nations
AustraliaSwedenAustria

In The Last Decade

Stefan F. Graebe

21 papers receiving 1.4k citations

Hit Papers

Control System Design200020262008201720002505007501000

Peers

Stefan F. Graebe
Comparison fields: 5 of 102
  • Control and Systems Engineering 1.2k
  • Electrical and Electronic Engineering 244
  • Mechanical Engineering 200
  • Artificial Intelligence 104
  • Biomedical Engineering 91
Replace Mario E. Salgado with:
Mario E. Salgado Chile
S.R. Liberty United States
R. Garrido Mexico
A. Sideris United States
Katsuhiko Ogata United States
Wolfgang Borutzky Germany
Vincent Verdult Netherlands
Isaac Horowitz Israel
Juan I. Yuz Chile
Edvaldo Assunção Brazil
Stefan F. Graebe relative to Mario E. Salgado Chile Mario E. Salgado's profile →
Citations per field
00.5×3.8×
Mario E. Salgado · 1×
Citations per year

Countries citing papers authored by Stefan F. Graebe

Since Specialization
Citations

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

Fields of papers citing papers by Stefan F. Graebe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefan F. Graebe. 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 Stefan F. Graebe. The network helps show where Stefan F. Graebe may publish in the future.

Co-authorship network of co-authors of Stefan F. Graebe

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 7
2 0
3 101
4 5
5
Control System Designbreakdown →
1033
6 94
7 75
8 15
9 19
10 40
11 76
12 22
13 1
14 4
15 7
16 6
17 5
18 4
19
Model Reduction for PID Control
4
20 5

About Stefan F. Graebe

Stefan F. Graebe is a scholar working on Control and Systems Engineering, Statistical and Nonlinear Physics and Computational Theory and Mathematics, having authored 22 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (18 papers), Fault Detection and Control Systems (11 papers) and Control Systems and Identification (10 papers). The work is most often cited by research in Control and Systems Engineering (1.2k citations), Statistics, Probability and Uncertainty (44 citations) and Mechanical Engineering (200 citations). Stefan F. Graebe has collaborated with scholars based in Australia, Sweden and Austria. Frequent co-authors include Graham C. Goodwin, Mario E. Salgado, Alf Isaksson, Torsten Bohlin, María M. Serón, Richard H. Middleton and Anders Åhlén. Their work appears in journals such as Automatica, IEEE Transactions on Control Systems Technology and IEEE Control Systems.

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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