N. Madysa

22.5k total citations
3 papers, 9 citations indexed

About

N. Madysa is a scholar working on Nuclear and High Energy Physics, Radiation and Artificial Intelligence. According to data from OpenAlex, N. Madysa has authored 3 papers receiving a total of 9 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Nuclear and High Energy Physics, 1 paper in Radiation and 1 paper in Artificial Intelligence. Recurrent topics in N. Madysa's work include Particle Detector Development and Performance (3 papers), Particle physics theoretical and experimental studies (2 papers) and Computational Physics and Python Applications (1 paper). N. Madysa is often cited by papers focused on Particle Detector Development and Performance (3 papers), Particle physics theoretical and experimental studies (2 papers) and Computational Physics and Python Applications (1 paper). N. Madysa collaborates with scholars based in Germany, Switzerland and Greece. N. Madysa's co-authors include Verena Kain and Michael Schenk and has published in prestigious journals such as SHILAP Revista de lepidopterología, SoftwareX and CERN Bulletin.

In The Last Decade

N. Madysa

3 papers receiving 9 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
N. Madysa Germany	2	9	3	2	2	1	3	9
Johann Christoph Voigt Germany	2	9 1.0×	3 1.0×	2 1.0×		1 1.0×	2	11
P. Paganini Switzerland	3	10 1.1×	2 0.7×	2 1.0×	2 1.0×	2 2.0×	3	10
J.-G. Shiu Taiwan	3	10 1.1×	3 1.0×	3 1.5×	2 1.0×	2 2.0×	6	12
L. A. O. Laatu France	2	10 1.1×	2 0.7×	2 1.0×		2 2.0×	3	12
E. Fortin France	2	10 1.1×	2 0.7×	2 1.0×		2 2.0×	2	12
K. Buńkowski Poland	2	5 0.6×	3 1.0×	2 1.0×		1 1.0×	2	7
M. Perrin‐Terrin France	3	9 1.0×		2 1.0×	2 1.0×		7	12
A. M. Sirunyan Armenia	3	9 1.0×		2 1.0×	2 1.0×		5	11
M. Dupanloup Sweden	2	7 0.8×	2 0.7×	2 1.0×	5 2.5×		4	8
T. Novák Switzerland	2	7 0.8×		2 1.0×	2 1.0×		5	9

Countries citing papers authored by N. Madysa

Since Specialization

Citations

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

Fields of papers citing papers by N. Madysa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Madysa

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

All Works

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3 of 3 papers shown

1.

Madysa, N., et al.. (2025). Geoff: The generic optimization framework & frontend for particle accelerator controls. SoftwareX. 32. 102335–102335. 1 indexed citations

2.

Madysa, N.. (2019). AREUS: A Software Framework for ATLAS Readout Electronics Upgrade Simulation. SHILAP Revista de lepidopterología. 214. 2006–2006. 7 indexed citations

3.

Madysa, N.. (2016). Identification of Hadronic Tau Lepton Decays at the ATLAS Detector Using Artificial Neural Networks. CERN Bulletin. 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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