T. Kijewski

1.4k citations
16 papers · 1.1k · h-index 11

Impact in

Papers in

T. Kijewski

16 papers receiving 1.0k citations

Peers

T. Kijewski
Comparison fields: 5 of 79
  • Civil and Structural Engineering 738
  • Environmental Engineering 483
  • Computational Mechanics 297
  • Statistics, Probability and Uncertainty 64
  • Control and Systems Engineering 178
Replace Liang Hu with:
Liang Hu China
Tianyou Tao China
J.S. Owen United Kingdom
Aiqun Li China
Luisa Pagnini Italy
Wenjuan Lou China
Dae Kun Kwon United States
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Citations per field
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Citations per year

Countries citing papers authored by T. Kijewski

Since Specialization
Citations

This map shows the geographic impact of T. Kijewski'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 T. Kijewski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Kijewski more than expected).

Fields of papers citing papers by T. Kijewski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside T. Kijewski, 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 T. Kijewski Line = papers co-authored together T. Kijewski links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 1999342
2 2003252
3 2003101
4 200385
5 200276
6 200268
7 200263
8 199860
9 200234
10 199831
11
RELIABILITY OF RANDOM DECREMENT TECHNIQUE FOR ESTIMATES OF STRUCTURAL DAMPING
200010
12 199910
13 20015
14 20013
15 19963
16
Probabilistic and Statistical Approaches for Wind Effects: Time-Frequency Perspectives
20011

About T. Kijewski

T. Kijewski is a scholar working on Environmental Engineering, Civil and Structural Engineering, Computational Mechanics, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Wind and Air Flow Studies (8 papers), Structural Health Monitoring Techniques (4 papers), Image and Signal Denoising Methods (4 papers), Fluid Dynamics and Vibration Analysis (4 papers), Probabilistic and Robust Engineering Design (2 papers), Machine Fault Diagnosis Techniques (2 papers), Seismic and Structural Analysis of Tall Buildings (2 papers) and Scientific Research and Discoveries (2 papers). The work is most often cited by research in Civil and Structural Engineering (738 citations), Environmental Engineering (483 citations), Computational Mechanics (297 citations), Statistics, Probability and Uncertainty (64 citations) and Control and Systems Engineering (178 citations). T. Kijewski has collaborated with scholars based in United States, Brazil and Australia. Frequent co-authors include Ahsan Kareem, Yukio Tamura, Yin Zhou, Kurtis R. Gurley, Charles E. Smith, M. Asce, Giovanni Solari, CW Letchford, Anca Daniela Hansen and Ryuji Kimura. Their work appears in journals such as Wind and Structures, Journal of Wind Engineering and Industrial Aerodynamics, Journal of Structural Engineering, Structural Safety and Journal of Sound and Vibration.

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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