Ton Backx

881 citations
35 papers · 683 · h-index 10

Impact in

Papers in

Ton Backx

29 papers receiving 650 citations

Peers

Ton Backx
Comparison fields: 5 of 57
  • Statistical and Nonlinear Physics 334
  • Statistics, Probability and Uncertainty 163
  • Numerical Analysis 87
  • Control and Systems Engineering 293
  • Computational Mechanics 168
Replace Tudor C. Ionescu with:
Tudor C. Ionescu Romania
Pawan Goyal Germany
Deepak Kumar India
E. Jan W. ter Maten Netherlands
Béchir Mokdad France
Rubén Ibáñez France
Nicole Marheineke Germany
Pierre‐Alain Boucard France
Kevin J. Dowding United States
Zhicheng Wang China
Ton Backx relative to Tudor C. Ionescu Romania Tudor C. Ionescu's profile →
Citations per field
00.5×2×3×4×4.8×
Tudor C. Ionescu · 1×
Citations per year

Countries citing papers authored by Ton Backx

Since Specialization
Citations

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

Fields of papers citing papers by Ton Backx

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ton Backx, 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 Ton Backx Line = papers co-authored together Ton Backx links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008333
2 200196
3 200438
4 200236
5 200033
6 200214
7 201114
8 200013
9 200513
10 199212
11 20099
12 20019
13 20129
14 20046
15 20085
16 20015
17 20165
18 19994
19 20004
20 20084

About Ton Backx

Ton Backx is a scholar working on Control and Systems Engineering, Statistical and Nonlinear Physics, Statistics, Probability and Uncertainty, Fluid Flow and Transfer Processes and Catalysis, having authored 35 papers that have together received 683 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (15 papers), Advanced Control Systems Optimization (15 papers), Control Systems and Identification (11 papers), Model Reduction and Neural Networks (7 papers), Probabilistic and Robust Engineering Design (5 papers), Process Optimization and Integration (4 papers), Catalytic Processes in Materials Science (3 papers) and Iterative Learning Control Systems (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (334 citations), Statistics, Probability and Uncertainty (163 citations), Numerical Analysis (87 citations), Control and Systems Engineering (293 citations) and Computational Mechanics (168 citations). Ton Backx has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Siep Weiland, Karen E. Willcox, Patricia Astrid, H.H.J. Bloemen, Vincent Verdult, Chun Tung Chou, Ton van den Boom, Okko H. Bosgra, Wolfgang Marquardt and Leyla Özkan. Their work appears in journals such as Control Engineering Practice, IEEE Transactions on Automatic Control, Journal of Process Control, Annual Reviews in Control and SAE technical papers on CD-ROM/SAE technical paper series.

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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