Paweł Czaja

1.1k total citations
106 papers, 814 citations indexed

About

Paweł Czaja is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Mechanical Engineering. According to data from OpenAlex, Paweł Czaja has authored 106 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Materials Chemistry, 46 papers in Electronic, Optical and Magnetic Materials and 37 papers in Mechanical Engineering. Recurrent topics in Paweł Czaja's work include Shape Memory Alloy Transformations (44 papers), Magnetic and transport properties of perovskites and related materials (26 papers) and Magnetic Properties and Applications (12 papers). Paweł Czaja is often cited by papers focused on Shape Memory Alloy Transformations (44 papers), Magnetic and transport properties of perovskites and related materials (26 papers) and Magnetic Properties and Applications (12 papers). Paweł Czaja collaborates with scholars based in Poland, Spain and Germany. Paweł Czaja's co-authors include W. Maziarz, R. Chulist, J. Przewoźnik, M.J. Szczerba, J. Dutkiewicz, E. Cesari, Anna Wójcik, Magdalena Fitta, Antoni Żywczak and Y.I. Chumlyakov and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and Advanced Energy Materials.

In The Last Decade

Paweł Czaja

96 papers receiving 794 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paweł Czaja Poland 16 634 417 296 61 58 106 814
Huilong Hou China 11 861 1.4× 312 0.7× 386 1.3× 27 0.4× 72 1.2× 32 1.0k
Wanyuan Gui China 13 484 0.8× 316 0.8× 284 1.0× 72 1.2× 39 0.7× 30 637
Mingjiang Jin China 14 615 1.0× 189 0.5× 362 1.2× 56 0.9× 59 1.0× 46 729
Changlong Tan China 18 828 1.3× 437 1.0× 238 0.8× 30 0.5× 34 0.6× 90 923
Madangopal Krishnan India 17 690 1.1× 190 0.5× 426 1.4× 54 0.9× 115 2.0× 58 830
Robert Zarnetta Germany 13 736 1.2× 180 0.4× 262 0.9× 33 0.5× 119 2.1× 17 827
Makoto Nagasako Japan 22 1.3k 2.1× 740 1.8× 709 2.4× 73 1.2× 49 0.8× 63 1.6k
R.D. Noebe United States 14 1.5k 2.4× 259 0.6× 642 2.2× 35 0.6× 57 1.0× 27 1.6k
Hinnerk Oßmer Germany 17 1.1k 1.8× 521 1.2× 341 1.2× 15 0.2× 80 1.4× 25 1.2k
N. Scheerbaum Germany 20 1.3k 2.1× 821 2.0× 472 1.6× 114 1.9× 166 2.9× 34 1.4k

Countries citing papers authored by Paweł Czaja

Since Specialization
Citations

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

Fields of papers citing papers by Paweł Czaja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paweł Czaja

This figure shows the co-authorship network connecting the top 25 collaborators of Paweł Czaja. A scholar is included among the top collaborators of Paweł Czaja 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 Paweł Czaja. Paweł Czaja 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.
Moździerz, Maciej, Zijian Cai, Gi‐Hyeok Lee, et al.. (2025). Tuning Cation (Dis)Order in Cr‐Based Li‐Excess Oxide Cathode Materials to Improve Li+ Transport Properties. Advanced Energy Materials. 15(33). 2 indexed citations
2.
Zheng, X. R., Zhichen Xue, Hongchang Hao, et al.. (2025). Unravelling electro-chemo-mechanical interplay in layered oxide cathode degradation in solid-state batteries. Science Advances. 11(41). eady7189–eady7189. 2 indexed citations
3.
Pelton, Alan R., et al.. (2024). Development of High-Durability Nitinol for Heart Valve Frames. 84840. 50–51. 2 indexed citations
4.
Moździerz, Maciej, et al.. (2024). Electrochemically-induced amorphization in multicomponent spinel oxide Li-ion cell anodes: Non-equimolarity enables improved electrochemical performance. Chemical Engineering Journal. 504. 159046–159046. 1 indexed citations
6.
Hasani, Saeed, et al.. (2024). Investigating the structural properties of a novel soft magnetic Fe-based amorphous alloy by dynamic mechanical relaxation. Intermetallics. 166. 108208–108208. 2 indexed citations
7.
Boczkal, Sonia, Ewa Szymańska, Bogusław Augustyn, et al.. (2024). The Influence of Er and Zr on the Microstructure and Durability of the Mechanical Properties of an Al-Mg Alloy Containing 7 wt.% of Mg. Materials. 17(21). 5295–5295. 1 indexed citations
10.
Fraczek–Szczypta, Aneta, et al.. (2023). Exploring CVD Method for Synthesizing Carbon–Carbon Composites as Materials to Contact with Nerve Tissue. Journal of Functional Biomaterials. 14(9). 443–443. 3 indexed citations
11.
Czaja, Paweł, et al.. (2023). Phase Evolution at the Interface between Liquid Solder Sn-Zn-Ag and Cu Substrate Studied by In Situ Heating Scanning Transmission Electron Microscopy. Journal of Materials Engineering and Performance. 32(13). 5749–5755. 1 indexed citations
12.
Gancarz, Tomasz, Piotr Ozga, J. Pstruś, et al.. (2023). The Interfacial Phenomena Between Graphene on Cu Substrate Covered by Ni, Cu, or W Layer, with Liquid Ga-Sn-Zn Alloy. Journal of Materials Engineering and Performance. 32(13). 5703–5709. 1 indexed citations
13.
Żórawski, W., et al.. (2023). Influence of Surface Preparation on the Microstructure and Mechanical Properties of Cold-Sprayed Nickel Coatings on Al 7075 Alloy. Materials. 16(21). 7002–7002. 2 indexed citations
14.
Moździerz, Maciej, et al.. (2023). Understanding the electrochemical reaction mechanism to achieve excellent performance of the conversion-alloying Zn2SnO4 anode for Li-ion batteries. Journal of Materials Chemistry A. 11(38). 20686–20700. 5 indexed citations
15.
Maziarz, W., Aleksandra Kolano-Burian, Maciej Kowalczyk, et al.. (2023). TEM, HREM, L-TEM Studies of Fe-Based Soft Magnetic Melt-Spun Ribbons Subjected to Ultra-Rapid Annealing Process. SHILAP Revista de lepidopterología. 1165–1170.
16.
Stan-Głowińska, Katarzyna, Łukasz Rogal, Paweł Czaja, et al.. (2023). Microstructural characterization of rapidly solidified Al-13.5 at.% Cr and Al-13.5 at.% V alloys for catalytic applications. Journal of Materials Science. 58(33). 13422–13436.
17.
Markowski, Jarosław, Wojciech Smółka, Agnieszka Panek, et al.. (2022). Influence of Heat Treatment of Electrospun Carbon Nanofibers on Biological Response. International Journal of Molecular Sciences. 23(11). 6278–6278. 7 indexed citations
18.
Wójcik, Anna, W. Maziarz, Maciej Kowalczyk, et al.. (2020). Fe-Co-B Soft Magnetic Ribbons: Crystallization Process, Microstructure and Coercivity. Materials. 13(7). 1639–1639. 2 indexed citations
19.
Bramowicz, Mirosław, Sławomir Kulesza, Paweł Czaja, & W. Maziarz. (2014). Application of the Autocorrelation Function and Fractal Geometry Methods for Analysis of MFM Images. Archives of Metallurgy and Materials. 59(2). 451–457. 10 indexed citations
20.
Czaja, Paweł, et al.. (2012). Ocena stopnia aktywacji tworzyw sztucznych. PRZEGLĄD ELEKTROTECHNICZNY. 217–220.

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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