Leonard Ziemiański

731 total citations
39 papers, 471 citations indexed

About

Leonard Ziemiański is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Mechanical Engineering. According to data from OpenAlex, Leonard Ziemiański has authored 39 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Civil and Structural Engineering, 21 papers in Mechanics of Materials and 14 papers in Mechanical Engineering. Recurrent topics in Leonard Ziemiański's work include Structural Health Monitoring Techniques (24 papers), Ultrasonics and Acoustic Wave Propagation (14 papers) and Mechanical and Thermal Properties Analysis (6 papers). Leonard Ziemiański is often cited by papers focused on Structural Health Monitoring Techniques (24 papers), Ultrasonics and Acoustic Wave Propagation (14 papers) and Mechanical and Thermal Properties Analysis (6 papers). Leonard Ziemiański collaborates with scholars based in Poland, Greece and Germany. Leonard Ziemiański's co-authors include Zenon Waszczyszyn, Bartosz Miller, Georgios Ε. Stavroulakis, Charalampos Baniotopoulos and Tomasz Siwowski and has published in prestigious journals such as SHILAP Revista de lepidopterología, Materials and Engineering Structures.

In The Last Decade

Leonard Ziemiański

31 papers receiving 418 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Leonard Ziemiański Poland 10 306 216 142 41 39 39 471
Zenon Waszczyszyn Poland 13 406 1.3× 230 1.1× 176 1.2× 60 1.5× 52 1.3× 52 644
Shouyan Jiang China 16 301 1.0× 348 1.6× 80 0.6× 25 0.6× 23 0.6× 37 545
D. Dinh-Cong Vietnam 16 618 2.0× 241 1.1× 126 0.9× 43 1.0× 22 0.6× 27 725
Evandro Parente Brazil 14 289 0.9× 224 1.0× 81 0.6× 37 0.9× 74 1.9× 48 458
H. Dang-Trung Vietnam 15 503 1.6× 532 2.5× 94 0.7× 59 1.4× 30 0.8× 20 741
Seung-Seop Jin South Korea 13 340 1.1× 57 0.3× 87 0.6× 41 1.0× 53 1.4× 30 455
Bartłomiej Błachowski Poland 14 665 2.2× 200 0.9× 168 1.2× 68 1.7× 39 1.0× 42 758
Anna Kučerová Czechia 11 154 0.5× 132 0.6× 50 0.4× 36 0.9× 32 0.8× 32 354
Giacomo Frulla Italy 15 221 0.7× 264 1.2× 142 1.0× 110 2.7× 12 0.3× 106 816
Yuanxian Gu China 12 212 0.7× 187 0.9× 89 0.6× 48 1.2× 21 0.5× 37 475

Countries citing papers authored by Leonard Ziemiański

Since Specialization
Citations

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

Fields of papers citing papers by Leonard Ziemiański

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonard Ziemiański

This figure shows the co-authorship network connecting the top 25 collaborators of Leonard Ziemiański. A scholar is included among the top collaborators of Leonard Ziemiański based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Leonard Ziemiański. Leonard Ziemiański is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Miller, Bartosz & Leonard Ziemiański. (2024). Optimizing composite shell with neural network surrogate models and genetic algorithms: Balancing efficiency and fidelity. Advances in Engineering Software. 197. 103740–103740. 3 indexed citations
2.
Miller, Bartosz & Leonard Ziemiański. (2023). Multi-Objective Optimization of Thin-Walled Composite Axisymmetric Structures Using Neural Surrogate Models and Genetic Algorithms. Materials. 16(20). 6794–6794. 5 indexed citations
3.
Miller, Bartosz & Leonard Ziemiański. (2019). Maximization of Eigenfrequency Gaps in a Composite Cylindrical Shell Using Genetic Algorithms and Neural Networks. Applied Sciences. 9(13). 2754–2754. 18 indexed citations
4.
Ziemiański, Leonard, et al.. (2017). Application of artificial neural networks in the damage identification of structural elements. SHILAP Revista de lepidopterología. 18(3). 175–189. 13 indexed citations
5.
Ziemiański, Leonard, et al.. (2017). Anomaly detection in composite elements using Lamb waves and soft computing methods. Procedia Structural Integrity. 5. 131–138. 2 indexed citations
6.
Ziemiański, Leonard, et al.. (2015). NUMERICAL MODAL ANALYSIS OF THE FRP COMPOSITE BEAM. Journal of Civil Engineering Environment and Architecture. XXXII(4/2015). 281–293. 5 indexed citations
7.
Ziemiański, Leonard, et al.. (2012). Zastosowanie sztucznych sieci neuronowych do identyfikacji uszkodzenia w belkach – badania numeryczne i doświadczalne. RPK (Politechniki Krakowskiej).
8.
Miller, Bartosz & Leonard Ziemiański. (2010). Wykorzystanie zmian w charakterystykach dynamicznych do lokalizacji obciążenia wywołującego uplastycznienie belki. Czasopismo Techniczne. Budownictwo. 242(2). 143–151.
9.
Ziemiański, Leonard, et al.. (2009). Fale sprężyste w badaniach konstrukcji. Cz.1. Przetwarzanie sygnałów. 37–42.
10.
Ziemiański, Leonard, et al.. (2008). Ocena stanu konstrukcji belkowych na podstawie zmiany parametrów modalnych wywołanych dodatkową masą. 9–16. 1 indexed citations
11.
Ziemiański, Leonard, et al.. (2008). Wykrywanie uszkodzeń konstrukcji z wykorzystaniem fal sprężystych oraz sztucznych sieci neuronowych. 271–282. 2 indexed citations
12.
Ziemiański, Leonard, et al.. (2007). Nieniszczące badania konstrukcji: wykrywanie zmian w elementach konstrukcji z wykorzystaniem zjawiska fal sprężystych. 67–87. 1 indexed citations
13.
Ziemiański, Leonard, et al.. (2007). Identyfikacja zmian sztywności we wsporniku na podstawie zmian parametrów modelu modalnego. 25–35. 1 indexed citations
14.
Waszczyszyn, Zenon & Leonard Ziemiański. (2006). Neurocomputing in the analysis of selected inverse problems of mechanics of structures and materials. Computer Assisted Mechanics and Engineering Sciences. 125–159. 13 indexed citations
15.
Miller, Bartosz & Leonard Ziemiański. (2006). The identification of the load causing partial yielding on the basis of the dynamie characteristics. Computer Assisted Mechanics and Engineering Sciences. 627–631. 1 indexed citations
16.
Ziemiański, Leonard, et al.. (2005). Identyfikacja sztywności w układach belkowych na podstawie zmian parametrów modalnych wywołanych dodatkową masą. 19–24. 1 indexed citations
17.
Ziemiański, Leonard, et al.. (2004). Application of neurocomputing in the parametric identification using dynamic responses of structural elements – selected problems. Journal of Theoretical and Applied Mechanics/Mechanika Teoretyczna i Stosowana. 42(3). 667–693. 3 indexed citations
18.
Ziemiański, Leonard, et al.. (2000). Analysis of bolted steel connections by neural networks basing on dynamic response. Archives of Civil Engineering. 46. 325–335.
19.
Ziemiański, Leonard & Bartosz Miller. (2000). Dynamic model updating using neural networks. Computer Assisted Mechanics and Engineering Sciences. 781–793. 5 indexed citations
20.
Miller, Bartosz, et al.. (1999). Beam yielding load identification by neural networks. Computer Assisted Mechanics and Engineering Sciences. 449–467. 6 indexed citations

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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