K. Klimaszewski

30.5k total citations
2 papers, 8 citations indexed

About

K. Klimaszewski is a scholar working on Radiology, Nuclear Medicine and Imaging, Atomic and Molecular Physics, and Optics and Radiation. According to data from OpenAlex, K. Klimaszewski has authored 2 papers receiving a total of 8 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Radiology, Nuclear Medicine and Imaging, 1 paper in Atomic and Molecular Physics, and Optics and 1 paper in Radiation. Recurrent topics in K. Klimaszewski's work include AI in cancer detection (1 paper), COVID-19 diagnosis using AI (1 paper) and Anomaly Detection Techniques and Applications (1 paper). K. Klimaszewski is often cited by papers focused on AI in cancer detection (1 paper), COVID-19 diagnosis using AI (1 paper) and Anomaly Detection Techniques and Applications (1 paper). K. Klimaszewski collaborates with scholars based in Poland and Austria. K. Klimaszewski's co-authors include L. Raczyński, R. Y. Shopa, W. Krzemień, W. Wiślicki, K. Dulski, Jakub Baran and Beatrix C. Hiesmayr and has published in prestigious journals such as The European Physical Journal C and AIP conference proceedings.

In The Last Decade

K. Klimaszewski

1 paper receiving 7 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
K. Klimaszewski Poland	1	5	4	2	1	1	2	8
Mudit Jain India	3	6 1.2×	4 1.0×	3 1.5×		1 1.0×	4	8
N. Meinert Germany	1	6 1.2×	4 1.0×				2	14
X. Zhao China	2	4 0.8×	4 1.0×				2	10
Jonathan Mukiibi Uganda	2	5 1.0×	3 0.8×		1 1.0×		4	11
Eric Kolve United States	2	5 1.0×	5 1.3×				3	7
Valentin Gabeur France	2	4 0.8×	5 1.3×				2	9
F. Betti Switzerland	2	6 1.2×	3 0.8×				2	8
Kate Baumli United Kingdom	2	6 1.2×	3 0.8×		1 1.0×		2	8
Adrien Bardes Israel	2	4 0.8×	3 0.8×	1 0.5×			3	4
Casey Chu United States	3	6 1.2×	5 1.3×	1 0.5×			3	10

Countries citing papers authored by K. Klimaszewski

Since Specialization

Citations

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

Fields of papers citing papers by K. Klimaszewski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Klimaszewski

This figure shows the co-authorship network connecting the top 25 collaborators of K. Klimaszewski. A scholar is included among the top collaborators of K. Klimaszewski 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 K. Klimaszewski. K. Klimaszewski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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2 of 2 papers shown

1.

Krzemień, W., Beatrix C. Hiesmayr, Jakub Baran, et al.. (2025). Probing arbitrary polarized photon pairs undergoing double Compton scatterings by a dedicated MC simulator validated with experimental data. The European Physical Journal C. 85(10).

2.

Klimaszewski, K., et al.. (2024). Performance of GAN-based augmentation for deep learning COVID-19 image classification. AIP conference proceedings. 3061. 30001–30001. 8 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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