S. J. Lewandowski

1.0k total citations
105 papers, 826 citations indexed

About

S. J. Lewandowski is a scholar working on Condensed Matter Physics, Electronic, Optical and Magnetic Materials and Materials Chemistry. According to data from OpenAlex, S. J. Lewandowski has authored 105 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Condensed Matter Physics, 40 papers in Electronic, Optical and Magnetic Materials and 27 papers in Materials Chemistry. Recurrent topics in S. J. Lewandowski's work include Physics of Superconductivity and Magnetism (38 papers), Magnetic and transport properties of perovskites and related materials (32 papers) and Advanced Condensed Matter Physics (18 papers). S. J. Lewandowski is often cited by papers focused on Physics of Superconductivity and Magnetism (38 papers), Magnetic and transport properties of perovskites and related materials (32 papers) and Advanced Condensed Matter Physics (18 papers). S. J. Lewandowski collaborates with scholars based in Poland, Ukraine and Russia. S. J. Lewandowski's co-authors include P. Gierłowski, A. Abal’oshev, S. Barbanera, M. Kończykowski, M. V. Indenbom, C. J. van der Beek, Roman Sobolewski, A. V. Klimov, R. Szymczak and H. Szymczak and has published in prestigious journals such as Physical Review Letters, Physical review. B, Condensed matter and Applied Physics Letters.

In The Last Decade

S. J. Lewandowski

90 papers receiving 789 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. J. Lewandowski Poland 14 542 338 252 189 151 105 826
E.S. Otabe Japan 15 908 1.7× 443 1.3× 182 0.7× 169 0.9× 178 1.2× 157 1.1k
J. H. Smith Australia 15 261 0.5× 419 1.2× 261 1.0× 325 1.7× 64 0.4× 40 736
Ph. Lecoeur France 15 292 0.5× 433 1.3× 505 2.0× 133 0.7× 181 1.2× 47 898
Mun-Seog Kim South Korea 20 1.3k 2.3× 777 2.3× 241 1.0× 224 1.2× 263 1.7× 112 1.6k
SungBin Lee South Korea 20 746 1.4× 557 1.6× 521 2.1× 512 2.7× 122 0.8× 62 1.3k
Paul Dorsey United States 17 507 0.9× 898 2.7× 730 2.9× 426 2.3× 358 2.4× 61 1.4k
A. K. Majumdar India 16 497 0.9× 498 1.5× 218 0.9× 312 1.7× 86 0.6× 70 836
Н. Г. Бебенин Russia 18 521 1.0× 852 2.5× 357 1.4× 307 1.6× 197 1.3× 106 1.0k
Kenji Kawaguchi Japan 13 137 0.3× 265 0.8× 135 0.5× 344 1.8× 61 0.4× 35 603
T. Habisreuther Germany 22 860 1.6× 441 1.3× 291 1.2× 316 1.7× 493 3.3× 94 1.4k

Countries citing papers authored by S. J. Lewandowski

Since Specialization
Citations

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

Fields of papers citing papers by S. J. Lewandowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. J. Lewandowski. 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 S. J. Lewandowski. The network helps show where S. J. Lewandowski may publish in the future.

Co-authorship network of co-authors of S. J. Lewandowski

This figure shows the co-authorship network connecting the top 25 collaborators of S. J. Lewandowski. A scholar is included among the top collaborators of S. J. Lewandowski 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 S. J. Lewandowski. S. J. Lewandowski 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.
Lewandowski, S. J., et al.. (2012). Analysis of the Main Properties of Geotextiles Manufactured by Mechanical Two-Sided Needle Punching and by Two-Layered Needle Punching on the Fabric Underlay. Fibres and Textiles in Eastern Europe. 1 indexed citations
2.
Lewandowski, S. J., et al.. (2012). Dobór sztucznych sieci neuronowych do produkcji wybranych właściwości wytrzymałościowych połączeń końców przędz wełnianych czesankowych Sirospun. Cz. II. 32–33. 1 indexed citations
3.
Broda, Jan, et al.. (2012). Selection of Optimal Formation Parameters of Polypropylene Fibrillated Fibres Designed for Concrete Reinforcement. Fibres and Textiles in Eastern Europe. 1 indexed citations
4.
Lewandowski, S. J.. (2011). Neural network classification of the unknotted joints of yarn ends. Fibres and Textiles in Eastern Europe. 37–43. 2 indexed citations
5.
Lewandowski, S. J., et al.. (2010). Ocena oddziaływania długości łączonych odcinków nitek na właściwości fizyczne połączeń bezwęzłowych. 34–38.
6.
Lewandowski, S. J., et al.. (2010). Ekspercka ocena wyglądu zaplatanych połączeń końców przędz. Cz. II. 31–33.
7.
Lewandowski, S. J., et al.. (2010). Oczyszczanie i eliminacja błędów przędzy w trakcie procesu przewijania za pomocą nowoczesnych technik łączenia. Cz. II. 38–40.
8.
Lewandowski, S. J., et al.. (2010). Zasady pracy pneumatycznych urządzeń zaplatających. 58–61.
9.
Lewandowski, S. J., et al.. (2010). Ocena jakości włókien, półproduktów przędzenia oraz przędz za pośrednictwem nomogramów jakościowych USTER STATISTICS oraz narzędzia USTERŽ QUALIPROFILE™. 34–36.
10.
Lewandowski, S. J.. (2009). Podstawowe elementy sztucznej inteligencji i przykłady ich zastosowań we włókiennictwie Część II. Przykłady zastosowań. 41–45.
11.
Lewandowski, S. J., et al.. (2009). Nowe rodzaje przędz kompaktowych wytwarzanych na przędzarkach kompaktowych Comfor-Spin K45 i kierunki ich zastosowań. 57–60.
12.
Lewandowski, S. J.. (2008). Podstawowe elementy sztucznej inteligencji i przykłady ich zastosowań we włókiennictwie. Część 1a: Rodzaje i charakterystyka elementów sztucznej inteligencji. 33–35.
13.
Lewandowski, S. J., et al.. (2008). Prediction of Properties of Unknotted Spliced Ends of Yarns Using Multiple Regression and Artificial Neural Networks. Part 2, Verification of Regression Models. Fibres and Textiles in Eastern Europe. 3 indexed citations
14.
Lewandowski, S. J., et al.. (2008). Prediction of Properties of Unknotted Spliced Ends of Yarns Using Multiple Regression and ArtificialNeural Networks.Part 1, Identification of Spliced Joints of Combed Wool Yarn by Artificial Neural Networks and Multiple Regression. Fibres and Textiles in Eastern Europe. 7 indexed citations
15.
Włochowicz, A., et al.. (2007). Fatigue Curves Elaborated for Selected Worsted Wool Yarns. Fibres and Textiles in Eastern Europe. 4 indexed citations
16.
Lewandowski, S. J.. (2006). Benchmarking jako narzędzie doskonalenia jakości w przędzalnictwie. 32–34. 1 indexed citations
17.
Lewandowski, S. J. & Tomasz Stańczyk. (2005). Identification and Classification of Spliced Wool Combed Yarn Joints by Artificial Neural Networks. Part 1, Developing an Artificial Neural Network Model. Fibres and Textiles in Eastern Europe. 7 indexed citations
18.
Lewandowski, S. J. & Tomasz Stańczyk. (2005). Identification and Classification of Spliced Wool Combed Yarn Joints by Artificial Neural Networks. Part 2, Interpretation of Identification and Classification Results of the Unknotted Spliced Yarns Joints. Fibres and Textiles in Eastern Europe. 3 indexed citations
19.
Lewandowski, S. J., et al.. (2004). Strength and Geometric Sizes of Pneumatically Spliced Combed Wool Ring Spun Yarns. Fibres and Textiles in Eastern Europe. 11 indexed citations
20.
Счастливцев, В. М., В. В. Устинов, Д. П. Родионов, et al.. (2004). Nickel alloy substrates with a sharp cube texture for high-Tc superconducting tapes. Doklady Physics. 49(3). 167–170. 3 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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