P. Quast

746 citations
9 papers · 608 · h-index 7

Impact in

Papers in

P. Quast

9 papers receiving 559 citations

Peers

P. Quast
Comparison fields: 5 of 34
  • Civil and Structural Engineering 479
  • Control and Systems Engineering 220
  • Mechanical Engineering 225
  • Ocean Engineering 78
  • Statistics, Probability and Uncertainty 18
Replace José A. Inaudi with:
José A. Inaudi United States
Yasuki Ohtori Japan
F. Nucera Italy
Hiroto Kato Japan
J. Suhardjo United States
Menglin Lou China
Chloe Johnson United States
Sean A. Hubbard United States
Johan Der Hagopian France
La Duc Viet Vietnam
P. Quast relative to José A. Inaudi United States José A. Inaudi's profile →
Citations per field
00.5×1.5×2.4×
José A. Inaudi · 1×
Citations per year

Countries citing papers authored by P. Quast

Since Specialization
Citations

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

Fields of papers citing papers by P. Quast

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside P. Quast, 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. Quast Line = papers co-authored together P. Quast links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1995259
2 1996132
3 1996108
4
Experimental Verification of Acceleration Feedback Control Strategies for an Active Tendon System
199442
5 199529
6 199326
7 20059
8
Digital Signal Processing Techniques for Active Structural Control
19942
9
Experimental Study of an Active Mass Driver Using Acceleration Feedback Control Strategies
19951

About P. Quast

P. Quast is a scholar working on Civil and Structural Engineering, Control and Systems Engineering, Ocean Engineering, Mechanical Engineering and Computer Networks and Communications, having authored 9 papers that have together received 608 indexed citations. Recurring topics across this work include Structural Health Monitoring Techniques (5 papers), Seismic Performance and Analysis (3 papers), Hydraulic and Pneumatic Systems (2 papers), Real-time simulation and control systems (2 papers), Geophysics and Sensor Technology (2 papers), Numerical methods for differential equations (1 paper), Oil and Gas Production Techniques (1 paper) and Vehicle Dynamics and Control Systems (1 paper). The work is most often cited by research in Civil and Structural Engineering (479 citations), Control and Systems Engineering (220 citations), Mechanical Engineering (225 citations), Ocean Engineering (78 citations) and Statistics, Probability and Uncertainty (18 citations). P. Quast has collaborated with scholars based in United States. Frequent co-authors include M.K. Sain, Shirley J. Dyke, Billie F. Spencer, B. F. Spencer, T. T. Soong, Hong‐Liang Dai and M. K. Sain. Their work appears in journals such as Computer-Aided Civil and Infrastructure Engineering, Journal of Engineering Mechanics and Engineering Mechanics.

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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