M. Rieger

44.9k citations
15 papers · 58 · h-index 4

Impact in

    • Particle physics theoretical and experimental studies
    • Particle Detector Development and Performance
    • High-Energy Particle Collisions Research
    • Quantum Chromodynamics and Particle Interactions
    • Dark Matter and Cosmic Phenomena
    • Scientific Computing and Data Management

Papers in

M. Rieger

9 papers receiving 58 citations

Peers

M. Rieger
Comparison fields: 5 of 22
  • Nuclear and High Energy Physics 44
  • Information Systems and Management 8
  • Artificial Intelligence 23
  • Computer Networks and Communications 8
  • Hardware and Architecture 2
Replace G. Dezoort with:
G. Dezoort United States
C. Biscarat France
P. Musella Switzerland
N. V. Tran United States
Breno Orzari Switzerland
Michael Benjamin Andrews United States
G. Strong Italy
Matthias Wolf United States
G. Franzoni Switzerland
P. Wittich United States
M. Rieger relative to G. Dezoort United States G. Dezoort's profile →
Citations per field
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Citations per year

Countries citing papers authored by M. Rieger

Since Specialization
Citations

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

Fields of papers citing papers by M. Rieger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside M. Rieger, 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. Rieger Line = papers co-authored together M. Rieger links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201931
2 201711
3 20205
4 20173
5 20143
6 20152
7 20251
8 20161
9 20191
10 20240
11 20120
12 20210
13 20170
14 20140
15 20200

About M. Rieger

M. Rieger is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics, Information Systems and Management, Artificial Intelligence and Sociology and Political Science, having authored 15 papers that have together received 58 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (7 papers), Distributed and Parallel Computing Systems (7 papers), Scientific Computing and Data Management (6 papers), Advanced Data Storage Technologies (5 papers), Particle physics theoretical and experimental studies (5 papers), Computational Physics and Python Applications (2 papers), Quantum Chromodynamics and Particle Interactions (1 paper) and Advanced NMR Techniques and Applications (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (44 citations), Information Systems and Management (8 citations), Artificial Intelligence (23 citations), Computer Networks and Communications (8 citations) and Hardware and Architecture (2 citations). M. Rieger has collaborated with scholars based in Germany, Switzerland and Slovakia. Frequent co-authors include M. Erdmann, Elena Geiser, Y. Rath, S. Ghosh, Christian Gläser, G. Müller, Robert Fischer, D. Noll, Yannik Rath and Benjamin Fischer. Their work appears in journals such as Journal of Instrumentation, Archives of Physical Medicine and Rehabilitation, Nuclear and Particle Physics Proceedings, SHILAP Revista de lepidopterología and Journal of Physics Conference Series.

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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