M. Schernau

3.3k citations
41 papers · 2.1k · h-index 28

Impact in

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

Papers in

    • Particle physics theoretical and experimental studies 41
    • High-Energy Particle Collisions Research 36
    • Quantum Chromodynamics and Particle Interactions 21
    • Particle Detector Development and Performance 10
    • Dark Matter and Cosmic Phenomena 5
    • Black Holes and Theoretical Physics 3
    • Cosmology and Gravitation Theories 7

M. Schernau

41 papers receiving 1.8k citations

Peers

M. Schernau
Comparison fields: 5 of 40
  • Nuclear and High Energy Physics 2.1k
  • Astronomy and Astrophysics 477
  • Artificial Intelligence 93
  • Computer Networks and Communications 37
  • Structural Biology 2
Replace I. Fisk with:
I. Fisk Austria
C. J. E. Suster France
P. Sinervo France
R. Di Sipio France
V. Azzolini Austria
P. O. Deviveiros France
R.D. Schamberger Australia
P. Steinberg France
L. J. Armitage France
M. P. Geisler France
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Citations per field
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Citations per year

Countries citing papers authored by M. Schernau

Since Specialization
Citations

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

Fields of papers citing papers by M. Schernau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017221
2 2015218
3 2015132
4 2014131
5 2015115
6 2017103
7 2018102
8 201388
9 201969
10 201961
11 201957
12 201356
13 201950
14 201747
15 201846
16 201344
17 201243
18 201843
19 201741
20 201738

About M. Schernau

M. Schernau is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Insect Science, Renewable Energy, Sustainability and the Environment and Obstetrics and Gynecology, having authored 41 papers that have together received 2.1k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (41 papers), High-Energy Particle Collisions Research (36 papers), Quantum Chromodynamics and Particle Interactions (21 papers), Particle Detector Development and Performance (10 papers), Cosmology and Gravitation Theories (7 papers), Dark Matter and Cosmic Phenomena (5 papers) and Black Holes and Theoretical Physics (3 papers). The work is most often cited by research in Nuclear and High Energy Physics (2.1k citations), Astronomy and Astrophysics (477 citations), Artificial Intelligence (93 citations), Computer Networks and Communications (37 citations) and Structural Biology (2 citations). M. Schernau has collaborated with scholars based in France, Switzerland and Germany. Their work appears in journals such as Journal of High Energy Physics, Physics Letters B, The European Physical Journal C, Physical Review Letters and Nuclear Physics B.

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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