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
- Particle Detector Development and Performance
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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
- Quantum Chromodynamics and Particle Interactions 1
- Dark Matter and Cosmic Phenomena 1
- Particle Detector Development and Performance 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)X. Dai (1 shared paper)S. Klaver (1 shared paper)X. Yang (1 shared paper)Y. Zhang (1 shared paper)Yiduo Shang (1 shared paper)S. Malde (1 shared paper)D. Popov (1 shared paper)
- Journals
- Science Bulletin (1 paper)Symmetry (1 paper)SHILAP Revista de lepidopterología (1 paper)Proceedings of 41st International Conference on High Energy physics — PoS(ICHEP2022) (1 paper)
- Partner nations
- ChinaGermanyNetherlands
In The Last Decade
M. Saur
3 papers receiving 14 citations
Peers
Comparison fields: 4 of 4
- Nuclear and High Energy Physics 15
- Information Systems and Management 1
- Computer Networks and Communications 1
- Radiology, Nuclear Medicine and Imaging 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 15 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (4 papers), Neutrino Physics Research (2 papers), Quantum Chromodynamics and Particle Interactions (1 paper), Dark Matter and Cosmic Phenomena (1 paper), Scientific Computing and Data Management (1 paper), Particle Detector Development and Performance (1 paper), Distributed and Parallel Computing Systems (1 paper) and High-Energy Particle Collisions Research (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (15 citations), Information Systems and Management (1 citation), Computer Networks and Communications (1 citation), Radiology, Nuclear Medicine and Imaging (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, X. Dai, S. Klaver, X. Yang, Y. Zhang, Yiduo Shang, S. Malde, D. Popov, R. Matev and Y. R. Hou. Their work appears in journals such as Science Bulletin, Symmetry, SHILAP Revista de lepidopterología and Proceedings of 41st International Conference on High Energy physics — PoS(ICHEP2022).
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.