P. Astrid

17 papers receiving 584 citations

Peers

P. Astrid
Comparison fields: 5 of 44
  • Statistical and Nonlinear Physics 415
  • Statistics, Probability and Uncertainty 186
  • Numerical Analysis 106
  • Computational Mechanics 187
  • Computational Mathematics 5
Replace Charbel Bou‐Mosleh with:
Charbel Bou‐Mosleh Lebanon
Cyrille Allery France
David J. Lucia United States
Stefania Fresca Italy
Kivanc Ekici United States
Marcus Meyer Germany
D. V. Iourtchenko United States
Elizabeth Qian United States
Paul G. A. Cizmas United States
Mathieu Couplet France
P. Astrid relative to Charbel Bou‐Mosleh Lebanon Charbel Bou‐Mosleh's profile →
Citations per field
00.5×
Charbel Bou‐Mosleh · 1×
Citations per year

Countries citing papers authored by P. Astrid

Since Specialization
Citations

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

Fields of papers citing papers by P. Astrid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside P. Astrid, 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 P. Astrid Line = papers co-authored together P. Astrid links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2008296
2 200493
3 201747
4 201736
5 200433
6 200423
7 201521
8 200313
9
Application of least squares MPE technique in the reduced order modeling of electrical circuits
200612
10 201111
11 20039
12 20148
13 20068
14 20035
15 20072
16
On the Acceleration of a POD-based Model Reduction Technique
20041
17
Observer-based output-feedback control to eliminate torsional drill-string vibrations
20141

About P. Astrid

P. Astrid is a scholar working on Statistical and Nonlinear Physics, Control and Systems Engineering, Ocean Engineering, Statistics, Probability and Uncertainty and Civil and Structural Engineering, having authored 17 papers that have together received 619 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (9 papers), Probabilistic and Robust Engineering Design (6 papers), Drilling and Well Engineering (5 papers), Control Systems and Identification (5 papers), Tunneling and Rock Mechanics (5 papers), Hydraulic Fracturing and Reservoir Analysis (4 papers), Numerical methods for differential equations (3 papers) and Advanced Control Systems Optimization (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (415 citations), Statistics, Probability and Uncertainty (186 citations), Numerical Analysis (106 citations), Computational Mechanics (187 citations) and Computational Mathematics (5 citations). P. Astrid has collaborated with scholars based in Netherlands, United States and Czechia. Frequent co-authors include S. Weiland, Karen Willcox, Ton Backx, Henk Nijmeijer, Nathan van de Wouw, Tom Oomen, J. D. Jansen, Γεώργιος Παπαϊωάννου, Jeroen C. Vink and T. T. Voss. Their work appears in journals such as Distributed Computing, IEEE Transactions on Control Systems Technology, International Journal of Robust and Nonlinear Control, IEEE Transactions on Automatic Control and IFAC-PapersOnLine.

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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