M. Friedl

65.5k citations
50 papers · 583 · h-index 10

Impact in

Papers in

    • Particle Detector Development and Performance 35
    • Particle physics theoretical and experimental studies 13
    • Dark Matter and Cosmic Phenomena 2
    • Radiation Detection and Scintillator Technologies 25

M. Friedl

47 papers receiving 538 citations

Peers

M. Friedl
Comparison fields: 5 of 76
  • Energy Engineering and Power Technology 54
  • Radiation 113
  • Signal Processing 140
  • Nuclear and High Energy Physics 157
  • Artificial Intelligence 182
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Citations per field
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Citations per year

Countries citing papers authored by M. Friedl

Since Specialization
Citations

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

Fields of papers citing papers by M. Friedl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Friedl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Friedl Line = papers co-authored together M. Friedl links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003225
2 202059
3 201548
4 201847
5 200020
6 201920
7 202319
8 202011
9
An experimental study of starting plumes over area sources
19999
10 20139
11 20029
12 20136
13 20086
14 20126
15 20126
16 20165
17 20065
18 20065
19 20015
20 20095

About M. Friedl

M. Friedl is a scholar working on Nuclear and High Energy Physics, Radiation, Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence, having authored 50 papers that have together received 583 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (35 papers), Radiation Detection and Scintillator Technologies (25 papers), Particle physics theoretical and experimental studies (13 papers), CCD and CMOS Imaging Sensors (10 papers), Radiation Effects in Electronics (4 papers), Particle Accelerators and Free-Electron Lasers (2 papers), Carbon Dioxide Capture Technologies (2 papers) and Dark Matter and Cosmic Phenomena (2 papers). The work is most often cited by research in Energy Engineering and Power Technology (54 citations), Radiation (113 citations), Signal Processing (140 citations), Nuclear and High Energy Physics (157 citations) and Artificial Intelligence (182 citations). M. Friedl has collaborated with scholars based in Austria, Switzerland and Japan. Frequent co-authors include Peter Honeyman, Niels Provos, C. Irmler, M. Pernicka, T. K. Fanneløp, Elimar Frank, Xiang Li, François Maréchal, Theodoros Damartzis and Stefano Moret. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Journal of Instrumentation, Energy Technology, IEEE Transactions on Nuclear Science and Applied Ocean Research.

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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