M. Nagl

791 total citations
10 papers, 42 citations indexed

About

M. Nagl is a scholar working on Radiation, Electrical and Electronic Engineering and Finance. According to data from OpenAlex, M. Nagl has authored 10 papers receiving a total of 42 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Radiation, 3 papers in Electrical and Electronic Engineering and 2 papers in Finance. Recurrent topics in M. Nagl's work include Particle Accelerators and Free-Electron Lasers (3 papers), Particle accelerators and beam dynamics (2 papers) and Nuclear Physics and Applications (2 papers). M. Nagl is often cited by papers focused on Particle Accelerators and Free-Electron Lasers (3 papers), Particle accelerators and beam dynamics (2 papers) and Nuclear Physics and Applications (2 papers). M. Nagl collaborates with scholars based in Germany, Russia and Switzerland. M. Nagl's co-authors include U. Vetter, H. Hofsäß, M. Uhrmacher, J. G. Correia, Daniel Rösch, J. Mestnik‐Filho, Michel W. Barsoum, Christoph Brüsewitz, Dagmar Jürgens and Joerg Rossbach and has published in prestigious journals such as Journal of Physics Condensed Matter, Review of Scientific Instruments and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

M. Nagl

6 papers receiving 39 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Nagl Germany	4	18	11	10	10	7	10	42
F. Raffaelli Italy	5	10 0.6×	11 1.0×	6 0.6×	20 2.0×	8 1.1×	15	64
Christopher Passow Germany	6	13 0.7×	7 0.6×	21 2.1×	14 1.4×	4 0.6×	8	61
T. Matsubara Japan	2	29 1.6×	8 0.7×	14 1.4×	11 1.1×	28 4.0×	3	59
Song Jianming China	5	28 1.6×	7 0.6×	9 0.9×	8 0.8×	20 2.9×	10	65
Shukui Wu Japan	4	7 0.4×	16 1.5×	8 0.8×	14 1.4×	7 1.0×	5	37
Jennifer Rebellato France	3	8 0.4×	10 0.9×	13 1.3×	12 1.2×	3 0.4×	4	35
G. F. Xu China	3	10 0.6×	8 0.7×	13 1.3×	18 1.8×	3 0.4×	6	39
Grant Riley United States	3	11 0.6×	17 1.5×	22 2.2×	16 1.6×	9 1.3×	7	48
S. Kitamura Japan	3	29 1.6×	5 0.5×	16 1.6×	8 0.8×	28 4.0×	9	65
A.S. Romanyuk Ukraine	5	32 1.8×	34 3.1×	14 1.4×	13 1.3×	3 0.4×	13	62

Countries citing papers authored by M. Nagl

Since Specialization

Citations

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

Fields of papers citing papers by M. Nagl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Nagl, M., et al.. (2024). Non-linearity and the distribution of market-based loss rates. OR Spectrum. 47(3). 933–967.

2.

Nagl, M., et al.. (2022). Quantifying uncertainty of machine learning methods for loss given default. Frontiers in Applied Mathematics and Statistics. 8. 3 indexed citations

3.

Nagl, M., et al.. (2013). A new tool for the search of nuclides with properties suitable for nuclear solid state physics based on the Evaluated Nuclear Structure Data Files. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 726. 17–30. 11 indexed citations

4.

Jürgens, Dagmar, M. Uhrmacher, M. Nagl, et al.. (2011). Electric field gradients at¹¹¹In/¹¹¹Cd probe atoms on A-sites in 211-MAX phases. Journal of Physics Condensed Matter. 23(50). 505501–505501. 6 indexed citations

5.

Nagl, M., et al.. (2011). First results ofab initiosimulations of scintillation detector characteristics. Journal of Physics Conference Series. 262. 12033–12033. 1 indexed citations

6.

Nagl, M., U. Vetter, M. Uhrmacher, & H. Hofsäß. (2010). A new all-digital time differential γ-γ angular correlation spectrometer. Review of Scientific Instruments. 81(7). 73501–73501. 15 indexed citations

7.

Grimm, O., Lars Fröhlich, K. Klose, et al.. (2005). LONGITUDINAL BUNCH SHAPE DIAGNOSTICS WITH COHERENT RADIATION AND A TRANSVERSE DEFLECTING CAVITY AT TTF2. University of North Texas Digital Library (University of North Texas). 5 indexed citations

8.

Ostroumov, P. N., et al.. (2002). Bunch Shape Monitors for the DESY H/sup -/ linac. Proceedings of the 1997 Particle Accelerator Conference (Cat. No.97CH36167). 2. 2078–2080.

9.

Кравчук, Л. В., et al.. (1996). DESY Linac-III Upgrade Study. CERN Document Server (European Organization for Nuclear Research). 190–192.

10.

Hartwig, H., et al.. (1981). The Radiofrequency-Systems of PIA. IEEE Transactions on Nuclear Science. 28(3). 2898–2900. 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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