M. Steiert

534 citations
25 papers · 395 · h-index 12

Impact in

    • Particle physics theoretical and experimental studies
    • Quantum Chromodynamics and Particle Interactions
    • High-Energy Particle Collisions Research
    • Dark Matter and Cosmic Phenomena
    • Neutrino Physics Research
    • Black Holes and Theoretical Physics
    • Particle Detector Development and Performance
    • Cosmology and Gravitation Theories

Papers in

    • Particle physics theoretical and experimental studies 25
    • High-Energy Particle Collisions Research 20
    • Quantum Chromodynamics and Particle Interactions 20
    • Dark Matter and Cosmic Phenomena 3
    • Neutrino Physics Research 2
    • Particle Detector Development and Performance 1
    • Cosmology and Gravitation Theories 2

In The Last Decade

M. Steiert

24 papers receiving 371 citations

Peers

M. Steiert
Comparison fields: 5 of 15
  • Nuclear and High Energy Physics 388
  • Astronomy and Astrophysics 36
  • Statistics and Probability 5
  • Statistical and Nonlinear Physics 7
  • Artificial Intelligence 15
Replace G. Chen with:
G. Chen Italy
D. Radojicic France
An. Zalite Switzerland
M. Turala Switzerland
I. Strauch Germany
U. Behrens Austria
R. Sandstroem France
S. J. Wheeler-Ellis Switzerland
O. Kivernyk France
S. V. Morozov France
M. Steiert relative to G. Chen Italy G. Chen's profile →
Citations per field
00.5×1.7×
G. Chen · 1×
Citations per year

Countries citing papers authored by M. Steiert

Since Specialization
Citations

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

Fields of papers citing papers by M. Steiert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199667
2 199635
3 199632
4 199730
5 199627
6 199624
7 199719
8 199617
9 199615
10 199715
11 199615
12 199613
13 19969
14 19969
15 19979
16 19969
17 19979
18 19968
19 19978
20 19968

About M. Steiert

M. Steiert is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Artificial Intelligence, Insect Science and Renewable Energy, Sustainability and the Environment, having authored 25 papers that have together received 395 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (25 papers), High-Energy Particle Collisions Research (20 papers), Quantum Chromodynamics and Particle Interactions (20 papers), Dark Matter and Cosmic Phenomena (3 papers), Cosmology and Gravitation Theories (2 papers), Neutrino Physics Research (2 papers), Particle Detector Development and Performance (1 paper) and Computational Physics and Python Applications (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (388 citations), Astronomy and Astrophysics (36 citations), Statistics and Probability (5 citations), Statistical and Nonlinear Physics (7 citations) and Artificial Intelligence (15 citations). M. Steiert has collaborated with scholars based in Germany, Switzerland and United Kingdom. Their work appears in journals such as Physics Letters B, The European Physical Journal C and Zeitschrift für Physik C.

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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