L. Socha

917 citations
59 papers · 657 · h-index 12

Impact in

Papers in

L. Socha

56 papers receiving 609 citations

Peers

L. Socha
Comparison fields: 5 of 61
  • Statistics, Probability and Uncertainty 251
  • Control and Systems Engineering 261
  • Civil and Structural Engineering 237
  • Statistical and Nonlinear Physics 126
  • Modeling and Simulation 34
Replace R. Iwankiewicz with:
R. Iwankiewicz Poland
D. V. Iourtchenko United States
John Red-Horse United States
Z.L. Huang China
Y. K. Lin United States
David J. Knezevic United States
M. Grigoriu United States
David J. Lucia United States
Jeroen Witteveen Netherlands
Guo‐Kang Er Macao
L. Socha relative to R. Iwankiewicz Poland R. Iwankiewicz's profile →
Citations per field
00.5×2.8×
R. Iwankiewicz · 1×
Citations per year

Countries citing papers authored by L. Socha

Since Specialization
Citations

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

Fields of papers citing papers by L. Socha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside L. Socha, 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 L. Socha Line = papers co-authored together L. Socha 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 2007129
2 199178
3 197763
4 200558
5 200544
6 200032
7 200031
8 198017
9 200316
10 200015
11 198614
12 200113
13 198611
14 199810
15
Statistical and equivalent linearization techniques with probability density criteria
19999
16 20179
17 19927
18 19906
19 20026
20 20005

About L. Socha

L. Socha is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty, Civil and Structural Engineering, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 59 papers that have together received 657 indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (21 papers), Control Systems and Identification (15 papers), Probabilistic and Robust Engineering Design (11 papers), Structural Health Monitoring Techniques (10 papers), Stability and Controllability of Differential Equations (9 papers), Mathematical Control Systems and Analysis (7 papers), Adaptive Control of Nonlinear Systems (6 papers) and Aerospace Engineering and Control Systems (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (251 citations), Control and Systems Engineering (261 citations), Civil and Structural Engineering (237 citations), Statistical and Nonlinear Physics (126 citations) and Modeling and Simulation (34 citations). L. Socha has collaborated with scholars based in Poland, Germany and United States. Frequent co-authors include T. T. Soong, Jerzy Klamka, Marian Błachuta, Quanxin Zhu, J.L. Willems, Carsten Proppe, Piotr Kaczyński and Karl Popp. Their work appears in journals such as IEEE Transactions on Automatic Control, International Journal of Systems Science, Journal of Sound and Vibration, Applied Mechanics Reviews and Probabilistic 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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