Markus Kunesch
Impact in
- Nuclear and High Energy Physics top 10%
- Black Holes and Theoretical Physics
- Particle physics theoretical and experimental studies
- Astronomy and Astrophysics top 10%
- Cosmology and Gravitation Theories
- Astrophysical Phenomena and Observations
- Pulsars and Gravitational Waves Research
- Galaxies: Formation, Evolution, Phenomena
- Advanced Differential Geometry Research
Papers in
-
- Cosmology and Gravitation Theories 3
- Pulsars and Gravitational Waves Research 3
- Astrophysical Phenomena and Observations 2
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- Black Holes and Theoretical Physics 5
- Co-authors
- Pau Figueras (5 shared papers)Saran Tunyasuvunakool (3 shared papers)Luis Lehner (1 shared paper)H. Bantilan (2 shared papers)Rodrigo Panosso Macedo (1 shared paper)Paul Romatschke (1 shared paper)William G. Cook (1 shared paper)Ulrich Sperhake (1 shared paper)
- Journals
- Physical Review Letters (3 papers)Physical review. D (1 paper)International Journal of Modern Physics D (1 paper)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Markus Kunesch
6 papers receiving 169 citations
Peers
Comparison fields: 5 of 18
- Nuclear and High Energy Physics 162
- Astronomy and Astrophysics 166
- Statistical and Nonlinear Physics 37
- Health Informatics 2
- Mathematical Physics 6
Countries citing papers authored by Markus Kunesch
This map shows the geographic impact of Markus Kunesch'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 Markus Kunesch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Kunesch more than expected).
Fields of papers citing papers by Markus Kunesch
This network shows the impact of papers produced by Markus Kunesch. 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 Markus Kunesch. The network helps show where Markus Kunesch may publish in the future.
Co-authors
The 14 scholars most cited alongside Markus Kunesch, 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 | 2016 | 75 | |
| 2 | 2017 | 54 | |
| 3 | 2019 | 18 | |
| 4 | 2016 | 14 | |
| 5 | 2023 | 10 | |
| 6 | 2017 | 10 |
About Markus Kunesch
Markus Kunesch is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics, Statistical and Nonlinear Physics, Artificial Intelligence and Safety Research, having authored 6 papers that have together received 181 indexed citations. Recurring topics across this work include Black Holes and Theoretical Physics (5 papers), Cosmology and Gravitation Theories (3 papers), Pulsars and Gravitational Waves Research (3 papers), Astrophysical Phenomena and Observations (2 papers), Noncommutative and Quantum Gravity Theories (1 paper), Reinforcement Learning in Robotics (1 paper), Ethics and Social Impacts of AI (1 paper) and Explainable Artificial Intelligence (XAI) (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (162 citations), Astronomy and Astrophysics (166 citations), Statistical and Nonlinear Physics (37 citations), Health Informatics (2 citations) and Mathematical Physics (6 citations). Markus Kunesch has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Pau Figueras, Saran Tunyasuvunakool, Luis Lehner, H. Bantilan, Rodrigo Panosso Macedo, Paul Romatschke, William G. Cook, Ulrich Sperhake, A. S. Bergman and Iason Gabriel. Their work appears in journals such as Physical Review Letters, Physical review. D and International Journal of Modern Physics D.
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.