Ken Butts

721 citations
23 papers · 390 · h-index 11

Impact in

Papers in

Ken Butts

23 papers receiving 385 citations

Peers

Ken Butts
Comparison fields: 5 of 35
  • Fluid Flow and Transfer Processes 128
  • Software 61
  • Control and Systems Engineering 239
  • Automotive Engineering 100
  • Computational Theory and Mathematics 93
Replace Kenneth Butts with:
Kenneth Butts United States
Tarek Ould‐Bachir Canada
Bastian Schürmann Germany
Stefan Almér Switzerland
Johann Bals Germany
M.K. Liubakka United States
Lars Mikelsons Germany
Ridha Ben Abdennour Tunisia
Joachim Gerlach Germany
H. Hüseyin Sayan Türkiye
Ken Butts relative to Kenneth Butts United States Kenneth Butts's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ken Butts

Since Specialization
Citations

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

Fields of papers citing papers by Ken Butts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Ken Butts, 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 Ken Butts Line = papers co-authored together Ken Butts links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201487
2 201556
3 201642
4 200728
5 201027
6 202023
7 201317
8 201315
9 201413
10 201712
11 201711
12 201510
13 200610
14 20189
15 20096
16 20065
17 20165
18
Equation-Based Model Data Structure for High Level Physical Modelling; Model Simplification and Modelica-Export
20114
19 20153
20 20103

About Ken Butts

Ken Butts is a scholar working on Control and Systems Engineering, Fluid Flow and Transfer Processes, Mechanical Engineering, Automotive Engineering and Computational Theory and Mathematics, having authored 23 papers that have together received 390 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (16 papers), Advanced Combustion Engine Technologies (11 papers), Real-time simulation and control systems (7 papers), Control Systems and Identification (5 papers), Fault Detection and Control Systems (4 papers), Hydraulic and Pneumatic Systems (3 papers), Iterative Learning Control Systems (3 papers) and Formal Methods in Verification (2 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (128 citations), Software (61 citations), Control and Systems Engineering (239 citations), Automotive Engineering (100 citations) and Computational Theory and Mathematics (93 citations). Ken Butts has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include Ilya Kolmanovsky, Mike Huang, Chris Vermillion, Jing Sun, Hayato Nakada, Jyotirmoy V. Deshmukh, Xiaoqing Jin, James Kapinski, Dominic Liao‐McPherson and Luan Viet Nguyen. Their work appears in journals such as IEEE Transactions on Control Systems Technology, International Journal of Robust and Nonlinear Control, IFAC-PapersOnLine, IFAC Proceedings Volumes and 2017 IEEE Conference on Control Technology and Applications (CCTA).

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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