M. Backes
Impact in
- Nuclear and High Energy Physics top 10%
- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Dark Matter and Cosmic Phenomena
- Quantum Chromodynamics and Particle Interactions
- Particle Detector Development and Performance
- Neutrino Physics Research
- Black Holes and Theoretical Physics
- Astronomy and Astrophysics top 10%
- Cosmology and Gravitation Theories
Papers in
-
- Particle physics theoretical and experimental studies 26
- High-Energy Particle Collisions Research 23
- Particle Detector Development and Performance 9
- Quantum Chromodynamics and Particle Interactions 9
- Dark Matter and Cosmic Phenomena 5
-
- Cosmology and Gravitation Theories 5
M. Backes
26 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 29
- Nuclear and High Energy Physics 1.5k
- Astronomy and Astrophysics 373
- Artificial Intelligence 82
- Computer Networks and Communications 24
- Statistical and Nonlinear Physics 12
Countries citing papers authored by M. Backes
This map shows the geographic impact of M. Backes'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. Backes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Backes more than expected).
Fields of papers citing papers by M. Backes
This network shows the impact of papers produced by M. Backes. 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. Backes. The network helps show where M. Backes may publish in the future.
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All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 295 | |
| 2 | 2017 | 221 | |
| 3 | 2020 | 148 | |
| 4 | 2012 | 107 | |
| 5 | 2016 | 59 | |
| 6 | 2018 | 58 | |
| 7 | 2020 | 57 | |
| 8 | 2019 | 51 | |
| 9 | 2012 | 42 | |
| 10 | 2018 | 41 | |
| 11 | 2011 | 41 | |
| 12 | 2011 | 41 | |
| 13 | 2018 | 40 | |
| 14 | 2018 | 39 | |
| 15 | 2020 | 37 | |
| 16 | 2019 | 35 | |
| 17 | 2020 | 34 | |
| 18 | 2017 | 33 | |
| 19 | 2020 | 32 | |
| 20 | 2016 | 27 |
About M. Backes
M. Backes 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 26 papers that have together received 1.5k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (26 papers), High-Energy Particle Collisions Research (23 papers), Particle Detector Development and Performance (9 papers), Quantum Chromodynamics and Particle Interactions (9 papers), Cosmology and Gravitation Theories (5 papers), Dark Matter and Cosmic Phenomena (5 papers) and Computational Physics and Python Applications (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (1.5k citations), Astronomy and Astrophysics (373 citations), Artificial Intelligence (82 citations), Computer Networks and Communications (24 citations) and Statistical and Nonlinear Physics (12 citations). M. Backes has collaborated with scholars based in France, United States and Switzerland. Their work appears in journals such as Physical review. D, Journal of High Energy Physics, The European Physical Journal C, Physics Letters B and Physical Review Letters.
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.