Marcel Rothering

587 citations
6 papers · 208 · h-index 4

Impact in

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

Papers in

Marcel Rothering

6 papers receiving 208 citations

Peers

Marcel Rothering
Comparison fields: 5 of 11
  • Nuclear and High Energy Physics 206
  • Astronomy and Astrophysics 50
  • Artificial Intelligence 24
  • Computer Networks and Communications 9
  • Industrial and Manufacturing Engineering 2
Replace David R. Lamprea with:
David R. Lamprea Germany
T. Weber Germany
Raquel Gómez-Ambrosio Italy
L. V. Kalinovskaya Russia
Lorena Rothen Germany
Irene Niessen Netherlands
T. You Switzerland
Florian Goertz Switzerland
Silja Brensing Germany
Federico Demartin Belgium
Marcel Rothering relative to David R. Lamprea Germany David R. Lamprea's profile →
Citations per field
00.5×1.5×
David R. Lamprea · 1×
Citations per year

Countries citing papers authored by Marcel Rothering

Since Specialization
Citations

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

Fields of papers citing papers by Marcel Rothering

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 3 scholars most cited alongside Marcel Rothering, 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 Marcel Rothering Line = papers co-authored together Marcel Rothering links everyone, so they are left out of the graph.

All Works

About Marcel Rothering

Marcel Rothering is a scholar working on Nuclear and High Energy Physics, Computer Vision and Pattern Recognition, Computational Mechanics, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 6 papers that have together received 208 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (5 papers), High-Energy Particle Collisions Research (5 papers), Quantum Chromodynamics and Particle Interactions (3 papers), Particle Detector Development and Performance (1 paper), Surface Roughness and Optical Measurements (1 paper), Industrial Vision Systems and Defect Detection (1 paper), Image and Object Detection Techniques (1 paper) and Computational Physics and Python Applications (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (206 citations), Astronomy and Astrophysics (50 citations), Artificial Intelligence (24 citations), Computer Networks and Communications (9 citations) and Industrial and Manufacturing Engineering (2 citations). Marcel Rothering has collaborated with scholars based in Germany, France and Switzerland. Frequent co-authors include Michael Klasen, Benjamin Fuks and David R. Lamprea. Their work appears in journals such as Journal of High Energy Physics, The European Physical Journal C, Data in Brief and Nuclear and Particle Physics Proceedings.

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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