M. Saur
Impact in
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- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- High-Energy Particle Collisions Research
- Dark Matter and Cosmic Phenomena
- Neutrino Physics Research
- Black Holes and Theoretical Physics
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- Scientific Computing and Data Management
Papers in
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- Particle physics theoretical and experimental studies 4
- Neutrino Physics Research 2
- Dark Matter and Cosmic Phenomena 1
- Particle Detector Development and Performance 1
- Quantum Chromodynamics and Particle Interactions 1
- High-Energy Particle Collisions Research 1
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- Distributed and Parallel Computing Systems 1
- Co-authors
- Fu-Sheng Yu (1 shared paper)Y. R. Hou (1 shared paper)Yiduo Shang (1 shared paper)Y. Zhang (1 shared paper)X. Dai (1 shared paper)S. Klaver (1 shared paper)X. Yang (1 shared paper)D. Popov (1 shared paper)
- Journals
- Symmetry (1 paper)Science Bulletin (1 paper)Proceedings of 41st International Conference on High Energy physics — PoS(ICHEP2022) (1 paper)EPJ Web of Conferences (1 paper)
- Partner nations
- ChinaGermanyNetherlands
In The Last Decade
M. Saur
3 papers receiving 13 citations
Peers
Comparison fields: 4 of 4
- Nuclear and High Energy Physics 13
- Information Systems and Management 1
- Radiology, Nuclear Medicine and Imaging 1
- Computer Networks and Communications 1
Countries citing papers authored by M. Saur
This map shows the geographic impact of M. Saur'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. Saur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Saur more than expected).
Fields of papers citing papers by M. Saur
This network shows the impact of papers produced by M. Saur. 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. Saur. The network helps show where M. Saur may publish in the future.
Co-authors
The 10 scholars most cited alongside M. Saur, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
About M. Saur
M. Saur is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications, Information Systems and Management, Infectious Diseases and Organic Chemistry, having authored 4 papers that have together received 13 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (4 papers), Neutrino Physics Research (2 papers), Scientific Computing and Data Management (1 paper), Dark Matter and Cosmic Phenomena (1 paper), Distributed and Parallel Computing Systems (1 paper), Particle Detector Development and Performance (1 paper), Quantum Chromodynamics and Particle Interactions (1 paper) and High-Energy Particle Collisions Research (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (13 citations), Information Systems and Management (1 citation), Radiology, Nuclear Medicine and Imaging (1 citation), Computer Networks and Communications (1 citation) and Infectious Diseases (0 citations). M. Saur has collaborated with scholars based in China, Germany and Netherlands. Frequent co-authors include Fu-Sheng Yu, Y. R. Hou, Yiduo Shang, Y. Zhang, X. Dai, S. Klaver, X. Yang, D. Popov, R. Matev and S. Malde. Their work appears in journals such as Symmetry, Science Bulletin, Proceedings of 41st International Conference on High Energy physics — PoS(ICHEP2022) and EPJ Web of Conferences.
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.