M. Zdybał

3.7k total citations
4 papers, 5 citations indexed

About

M. Zdybał is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, M. Zdybał has authored 4 papers receiving a total of 5 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Nuclear and High Energy Physics, 1 paper in Computer Networks and Communications and 1 paper in Pediatrics, Perinatology and Child Health. Recurrent topics in M. Zdybał's work include Particle physics theoretical and experimental studies (2 papers), Particle Detector Development and Performance (2 papers) and Distributed systems and fault tolerance (1 paper). M. Zdybał is often cited by papers focused on Particle physics theoretical and experimental studies (2 papers), Particle Detector Development and Performance (2 papers) and Distributed systems and fault tolerance (1 paper). M. Zdybał collaborates with scholars based in Poland, Switzerland and Italy. M. Zdybał's co-authors include M. Goncerz, A. Driutti, Zoltán Máthé, G. Abbiendi, P. Asenov, W. Krzemień, J. van Tilburg, M. W. Wolter, C. Matteuzzi and F. Stagni and has published in prestigious journals such as SHILAP Revista de lepidopterología, CERN Bulletin and EPJ Web of Conferences.

In The Last Decade

M. Zdybał

3 papers receiving 5 citations

Peers

M. Zdybał
B. Schlag Switzerland
S. Bjelogrlic Portugal
W. Redjeb Switzerland
Moloko Hlakola South Africa
M. Zdybał
Citations per year, relative to M. Zdybał M. Zdybał (= 1×) peers A. Giannini

Countries citing papers authored by M. Zdybał

Since Specialization
Citations

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

Fields of papers citing papers by M. Zdybał

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

4 of 4 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.
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
3.
Krzemień, W., F. Stagni, C. Haen, et al.. (2019). Addressing Scalability with Message Queues: Architecture and Use Cases for DIRAC Interware. SHILAP Revista de lepidopterología. 214. 3018–3018. 2 indexed citations
4.
Cian, M. De, V. V. Gligorov, J. van Tilburg, et al.. (2018). Status of HLT1 sequence and path towards 30 MHz. CERN Bulletin. 2 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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