Sabine Kraml
- Nuclear and High Energy Physics top 0.5%
- Particle physics theoretical and experimental studies 84
- Dark Matter and Cosmic Phenomena 38
- Particle Detector Development and Performance 19
- Quantum Chromodynamics and Particle Interactions 17
- Black Holes and Theoretical Physics 16
- High-Energy Particle Collisions Research 15
- Neutrino Physics Research 7
- Astronomy and Astrophysics top 2%
- Cosmology and Gravitation Theories 32
- Artificial Intelligence top 10%
- Co-authors
- John F. GunionY. JiangG. BélangerBéranger DumontJérémy BernonHoward BaerUlrich EllwangerS. Sekmen
- Journals
- Physical Review Letters (1 paper)SHILAP Revista de lepidopterología (1 paper)Nuclear Physics B (1 paper)
- Partner nations
- FranceUnited StatesAustria
In The Last Decade
Sabine Kraml
86 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 29
- Nuclear and High Energy Physics 2.7k
- Astronomy and Astrophysics 1.2k
- Artificial Intelligence 141
- Computer Networks and Communications 55
- Statistical and Nonlinear Physics 20
Countries citing papers authored by Sabine Kraml
This map shows the geographic impact of Sabine Kraml'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 Sabine Kraml with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sabine Kraml more than expected).
Fields of papers citing papers by Sabine Kraml
This network shows the impact of papers produced by Sabine Kraml. 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 Sabine Kraml. The network helps show where Sabine Kraml may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sabine Kraml, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | micrOMEGAs 6.0: N-component dark matterbreakdown → | 2024 | 60 |
| 3 | 2024 | 1 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 5 | |
| 7 | 2020 | 35 | |
| 8 | 2019 | 34 | |
| 9 | 2018 | 13 | |
| 10 | 2018 | 31 | |
| 11 | The supersymmetric flavour problem in 5D GUTs and its consequences for LHC phenomenology | 2016 | 1 |
| 12 | 2016 | 13 | |
| 13 | 2013 | 41 | |
| 14 | 2013 | 34 | |
| 15 | 2011 | 32 | |
| 16 | 2007 | 23 | |
| 17 | 2006 | 4 | |
| 18 | 2006 | 1 | |
| 19 | 2003 | 20 | |
| 20 | Comparison of SUSY mass spectrum calculations | 2002 | 5 |
About Sabine Kraml
Sabine Kraml is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Computer Networks and Communications, having authored 86 papers that have together received 2.8k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (84 papers), Dark Matter and Cosmic Phenomena (38 papers), Cosmology and Gravitation Theories (32 papers), Particle Detector Development and Performance (19 papers), Quantum Chromodynamics and Particle Interactions (17 papers), Black Holes and Theoretical Physics (16 papers), High-Energy Particle Collisions Research (15 papers) and Neutrino Physics Research (7 papers). The work is most often cited by research in Nuclear and High Energy Physics (2.7k citations), Astronomy and Astrophysics (1.2k citations) and Artificial Intelligence (141 citations). Sabine Kraml has collaborated with scholars based in France, United States and Austria. Frequent co-authors include John F. Gunion, Y. Jiang, G. Bélanger, Béranger Dumont, Jérémy Bernon, Howard Baer, Ulrich Ellwanger, S. Sekmen, A. Pukhov and Suchita Kulkarni. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología 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.