K. Sobczyk

57 papers receiving 1.2k citations

Peers

K. Sobczyk
Comparison fields: 5 of 85
  • Statistics, Probability and Uncertainty 521
  • Civil and Structural Engineering 431
  • Mechanics of Materials 398
  • Modeling and Simulation 72
  • Statistical and Nonlinear Physics 165
Replace J. L. Bogdanoff with:
J. L. Bogdanoff United States
Hongzhe Dai China
Fai Ma United States
L. He United Kingdom
Yingjie Liang China
John Red-Horse United States
Sai Hung Cheung Singapore
Daniele Venturi United States
Ben Blackwell United States
K. Sobczyk relative to J. L. Bogdanoff United States J. L. Bogdanoff's profile →
Citations per field
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J. L. Bogdanoff · 1×
Citations per year

Countries citing papers authored by K. Sobczyk

Since Specialization
Citations

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

Fields of papers citing papers by K. Sobczyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Stochastic Differential Equations: With Applications to Physics and Engineering
1991209
2 1993199
3 1991128
4 198675
5 198751
6 199950
7 200141
8 199339
9 200431
10 197726
11 198624
12 199624
13 197623
14 201123
15 198123
16 198923
17 198922
18 199620
19 200018
20 200418

About K. Sobczyk

K. Sobczyk is a scholar working on Statistics, Probability and Uncertainty, Mechanics of Materials, Civil and Structural Engineering, Mechanical Engineering and Statistical and Nonlinear Physics, having authored 59 papers that have together received 1.3k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (28 papers), Fatigue and fracture mechanics (16 papers), Structural Health Monitoring Techniques (12 papers), Metallic Glasses and Amorphous Alloys (11 papers), Statistical Mechanics and Entropy (8 papers), Magnetic Properties of Alloys (7 papers), Structural Response to Dynamic Loads (4 papers) and Magnetic Properties and Applications (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (521 citations), Civil and Structural Engineering (431 citations), Mechanics of Materials (398 citations), Modeling and Simulation (72 citations) and Statistical and Nonlinear Physics (165 citations). K. Sobczyk has collaborated with scholars based in Poland, United States and United Kingdom. Frequent co-authors include B. F. Spencer, Steven R. Winterstein, David J. Kirkner, Zbigniew Kotulski, Costas Papadimitriou, Ove Ditlevsen, Arkadiusz Orłowski, J. Zbroszczyk, M. Nabiałek and W. Ciurzyńska. Their work appears in journals such as Probabilistic Engineering Mechanics, Engineering Fracture Mechanics, Journal of Sound and Vibration, Archives of Metallurgy and Materials and Journal of Magnetism and Magnetic Materials.

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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