M. Kucharczyk

45.9k total citations
13 papers, 42 citations indexed

About

M. Kucharczyk is a scholar working on Nuclear and High Energy Physics, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, M. Kucharczyk has authored 13 papers receiving a total of 42 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Nuclear and High Energy Physics, 3 papers in Cardiology and Cardiovascular Medicine and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in M. Kucharczyk's work include Particle physics theoretical and experimental studies (6 papers), High-Energy Particle Collisions Research (4 papers) and Particle Detector Development and Performance (4 papers). M. Kucharczyk is often cited by papers focused on Particle physics theoretical and experimental studies (6 papers), High-Energy Particle Collisions Research (4 papers) and Particle Detector Development and Performance (4 papers). M. Kucharczyk collaborates with scholars based in Poland, Italy and Switzerland. M. Kucharczyk's co-authors include Dana Stoian, J. Holtz, E. Bassenge, M. Witek, A. Białas, H. Pałka, K. Zalewski, M. Goncerz, M. W. Wolter and A. Driutti and has published in prestigious journals such as Journal of High Energy Physics, Pflügers Archiv - European Journal of Physiology and European Surgical Research.

In The Last Decade

M. Kucharczyk

9 papers receiving 41 citations

Peers

M. Kucharczyk

CCM

NHEP

CAM

PHYSI

RNMI

F.J. Barbosa United States

M. Larwill United States

M. T. Anthony United States

T. J. C. Bezerra Japan

Jade Williams United States

A. Koulouris Greece

Y. Hiranuma Japan

Jake Summers Australia

Tobias Hövelborn Germany

D. Nina Portugal

F.J. Barbosa United States

M. Kucharczyk

10 ×0.4

CCM

7 ×0.5

NHEP

0 ×0.0

CAM

3 ×0.4

PHYSI

4 ×1.0

RNMI

Citations per year, relative to M. Kucharczyk M. Kucharczyk (= 1×) peers F.J. Barbosa

Countries citing papers authored by M. Kucharczyk

Since Specialization

Citations

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

Fields of papers citing papers by M. Kucharczyk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Kucharczyk

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

All Works

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13 of 13 papers shown

1.

Zdybał, M., A. Driutti, M. Goncerz, et al.. (2025). Machine learning based event reconstruction for the MUonE experiment. EPJ Web of Conferences. 337. 1255–1255.

2.

Kucharczyk, M. & M. Goncerz. (2023). Search for exotic decays of the Higgs boson into long-lived particles with jet pairs in the final state at CLIC. Journal of High Energy Physics. 2023(3). 1 indexed citations

3.

Asenov, P., G. Abbiendi, M. Goncerz, et al.. (2022). A Geant4-based simulation study for a preliminary setup of the MUonE experiment. Proceedings of 41st International Conference on High Energy physics — PoS(ICHEP2022). 905–905. 1 indexed citations

4.

Kucharczyk, M.. (2019). Soft QCD and Central Exclusive Production at LHCb. CERN Document Server (European Organization for Nuclear Research). 57–57.

5.

Kucharczyk, M. & M. W. Wolter. (2019). Tracking with deep neural networks. 150. 268–268. 1 indexed citations

6.

Kucharczyk, M. & M. W. Wolter. (2019). Track Finding with Deep Neural Networks. Computer Science. 20(4). 1 indexed citations

7.

Kucharczyk, M., et al.. (2016). Modelowanie endoprotez – drukarki 3D i 5D w zastosowaniach medycznych. 22.

8.

Kucharczyk, M., et al.. (2014). Primary Vertex Reconstruction at LHCb. CERN Bulletin. 5 indexed citations

9.

Kucharczyk, M., et al.. (2013). Odrzut hamowany w obiekcie specjalnym kalibru 7,62 mm z tłumikiem magnetoreologicznym TR-1.0M. 69–86.

10.

Białas, A., M. Kucharczyk, H. Pałka, & K. Zalewski. (2000). Mass dependence of HBT correlations ine+e−annihilation. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 62(11). 6 indexed citations

11.

Bassenge, E., M. Kucharczyk, J. Holtz, & Dana Stoian. (1972). Treadmill exercise in dogs under ?-adrenergic blockade: Adaptation of coronary and systemic hemodynamics. Pflügers Archiv - European Journal of Physiology. 332(1). 40–55. 25 indexed citations

12.

Bassenge, E., J Holtz, M. Kucharczyk, & Dana Stoian. (1970). Effect of Prematurity of Stimulation on Coronary Flow under Sustained Postextrasystolic Potentiation in Conscious Dogs. European Surgical Research. 2(6). 450–459. 1 indexed citations

13.

Kucharczyk, M., J. Holtz, Dana Stoian, & E. Bassenge. (1970). [Coronary flow and and cardiac output of waking dogs during physical exertion under beta-receptor blockade].. PubMed. 266(4). 384–5. 1 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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