D. Regruto

1.1k citations
86 papers · 817 · h-index 17

Impact in

    • Control Systems and Identification
    • Fault Detection and Control Systems
    • Advanced Control Systems Optimization
    • Real-time simulation and control systems
    • Vehicle Dynamics and Control Systems
    • Autonomous Vehicle Technology and Safety

Papers in

D. Regruto

80 papers receiving 793 citations

Peers

D. Regruto
Comparison fields: 5 of 58
  • Control and Systems Engineering 671
  • Automotive Engineering 247
  • Statistics, Probability and Uncertainty 84
  • Civil and Structural Engineering 157
  • Numerical Analysis 23
Replace Kie Chung Cheung with:
Kie Chung Cheung Hong Kong
Emmanuel Prempain United Kingdom
Ningsu Luo Spain
Martin Herceg Slovakia
Bruce H. Wilson United States
Christoffer Sloth Denmark
Carlos E.T. Dórea Brazil
Miguel Ángel Naya Spain
A. Lecchini Belgium
Francisco González Spain
D. Regruto relative to Kie Chung Cheung Hong Kong Kie Chung Cheung's profile →
Citations per field
00.5×1.5×2.4×
Kie Chung Cheung · 1×
Citations per year

Countries citing papers authored by D. Regruto

Since Specialization
Citations

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

Fields of papers citing papers by D. Regruto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside D. Regruto, 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 D. Regruto Line = papers co-authored together D. Regruto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200899
2 201153
3 200342
4 200740
5 200235
6 201033
7 200930
8 200730
9 201027
10 201424
11 201124
12 201220
13 201119
14 201318
15 200618
16 200817
17 201716
18 202013
19 201313
20 200912

About D. Regruto

D. Regruto is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty, Automotive Engineering, Civil and Structural Engineering and Computational Mechanics, having authored 86 papers that have together received 817 indexed citations. Recurring topics across this work include Control Systems and Identification (55 papers), Fault Detection and Control Systems (41 papers), Advanced Control Systems Optimization (27 papers), Probabilistic and Robust Engineering Design (19 papers), Vehicle Dynamics and Control Systems (14 papers), Structural Health Monitoring Techniques (11 papers), Hydraulic and Pneumatic Systems (7 papers) and Real-time simulation and control systems (7 papers). The work is most often cited by research in Control and Systems Engineering (671 citations), Automotive Engineering (247 citations), Statistics, Probability and Uncertainty (84 citations), Civil and Structural Engineering (157 citations) and Numerical Analysis (23 citations). D. Regruto has collaborated with scholars based in Italy, Netherlands and Switzerland. Frequent co-authors include V. Cerone, Dario Piga, M. Milanese, Mario Milanese, Mats Larsson, Jean B. Lasserre, Sophie M. Fosson, S. Malan, Michele Taragna and Roland Tóth. Their work appears in journals such as Automatica, IEEE Transactions on Automatic Control, International Journal of Robust and Nonlinear Control, IEEE Transactions on Control Systems Technology and Systems & Control Letters.

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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