S. Margetis
Impact in
-
- High-Energy Particle Collisions Research
- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- Particle Detector Development and Performance
- Nuclear physics research studies
-
- Statistical Methods and Bayesian Inference
Papers in
-
- Particle physics theoretical and experimental studies 5
- High-Energy Particle Collisions Research 4
- Quantum Chromodynamics and Particle Interactions 3
- Particle Detector Development and Performance 2
-
- Particle Accelerators and Free-Electron Lasers 1
- Co-authors
- O. Villalobos Baillie (1 shared paper)Yifei Zhang (1 shared paper)X. Dong (2 shared papers)J. Bouchet (1 shared paper)H. G. Ritter (1 shared paper)J. Lauret (1 shared paper)I. Kotov (1 shared paper)R. Derradi de Souza (1 shared paper)
- Journals
- Annual Review of Nuclear and Particle Science (1 paper)Journal of Physics G Nuclear and Particle Physics (1 paper)Nuclear Science and Techniques (1 paper)SHILAP Revista de lepidopterología (1 paper)Journal of Physics Conference Series (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
S. Margetis
5 papers receiving 23 citations
Peers
Comparison fields: 5 of 7
- Nuclear and High Energy Physics 25
- Statistics and Probability 1
- Aerospace Engineering 2
- Astronomy and Astrophysics 1
- Computational Mechanics 1
Countries citing papers authored by S. Margetis
This map shows the geographic impact of S. Margetis'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 S. Margetis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Margetis more than expected).
Fields of papers citing papers by S. Margetis
This network shows the impact of papers produced by S. Margetis. 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 S. Margetis. The network helps show where S. Margetis may publish in the future.
Co-authors
The 21 scholars most cited alongside S. Margetis, 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 | 2000 | 12 | |
| 2 | 2014 | 4 | |
| 3 | 2008 | 4 | |
| 4 | 2023 | 3 | |
| 5 | 2021 | 2 |
About S. Margetis
S. Margetis is a scholar working on Nuclear and High Energy Physics, Electrical and Electronic Engineering, Infectious Diseases, Organic Chemistry and Surgery, having authored 5 papers that have together received 25 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (5 papers), High-Energy Particle Collisions Research (4 papers), Quantum Chromodynamics and Particle Interactions (3 papers), Particle Detector Development and Performance (2 papers) and Particle Accelerators and Free-Electron Lasers (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (25 citations), Statistics and Probability (1 citation), Aerospace Engineering (2 citations), Astronomy and Astrophysics (1 citation) and Computational Mechanics (1 citation). S. Margetis has collaborated with scholars based in United States, Germany and China. Frequent co-authors include O. Villalobos Baillie, Yifei Zhang, X. Dong, J. Bouchet, H. G. Ritter, J. Lauret, I. Kotov, R. Derradi de Souza, G. Van Buren and V. Perevoztchikov. Their work appears in journals such as Annual Review of Nuclear and Particle Science, Journal of Physics G Nuclear and Particle Physics, Nuclear Science and Techniques, SHILAP Revista de lepidopterología and Journal of Physics Conference Series.
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.