M. Šumbera
- Nuclear and High Energy Physics top 10%
- High-Energy Particle Collisions Research 18
- Particle physics theoretical and experimental studies 14
- Quantum Chromodynamics and Particle Interactions 11
- Nuclear physics research studies 2
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- Distributed and Parallel Computing Systems 7
- Distributed systems and fault tolerance 3
- Advanced Data Storage Technologies 2
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- Cloud Computing and Resource Management 2
- Co-authors
- Roman PasechnikV. ŠimákI. ZborovskýJ. NemchikV. P. GonçalvesR. S. SimonI. K. PotashnikovaM. Pachr
- Partner nations
- CzechiaUnited StatesSlovakia
In The Last Decade
M. Šumbera
18 papers receiving 242 citations
Peers
Comparison fields: 5 of 29
- Nuclear and High Energy Physics 216
- Astronomy and Astrophysics 38
- Statistical and Nonlinear Physics 26
- Condensed Matter Physics 12
- Atomic and Molecular Physics, and Optics 32
Countries citing papers authored by M. Šumbera
This map shows the geographic impact of M. Šumbera'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. Šumbera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Šumbera more than expected).
Fields of papers citing papers by M. Šumbera
This network shows the impact of papers produced by M. Šumbera. 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. Šumbera. The network helps show where M. Šumbera may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. Šumbera, 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 | 2020 | 14 | |
| 2 | 2017 | 78 | |
| 3 | 2016 | 0 | |
| 4 | 2016 | 0 | |
| 5 | 2016 | 1 | |
| 6 | 2016 | 22 | |
| 7 | Model for planning of distributed data production | 2015 | 2 |
| 8 | 2014 | 0 | |
| 9 | 2012 | 1 | |
| 10 | 2012 | 0 | |
| 11 | 2010 | 1 | |
| 12 | 2009 | 1 | |
| 13 | 2009 | 0 | |
| 14 | 2008 | 12 | |
| 15 | 2007 | 4 | |
| 16 | 1994 | 9 | |
| 17 | 1994 | 32 | |
| 18 | 1992 | 4 | |
| 19 | 1988 | 48 | |
| 20 | 1984 | 2 |
About M. Šumbera
M. Šumbera is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications, Mathematical Physics, Hardware and Architecture and Radiation, having authored 25 papers that have together received 249 indexed citations. Recurring topics across this work include High-Energy Particle Collisions Research (18 papers), Particle physics theoretical and experimental studies (14 papers), Quantum Chromodynamics and Particle Interactions (11 papers), Distributed and Parallel Computing Systems (7 papers), Distributed systems and fault tolerance (3 papers), Cloud Computing and Resource Management (2 papers), Advanced Data Storage Technologies (2 papers) and Nuclear physics research studies (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (216 citations), Astronomy and Astrophysics (38 citations), Statistical and Nonlinear Physics (26 citations), Condensed Matter Physics (12 citations) and Atomic and Molecular Physics, and Optics (32 citations). M. Šumbera has collaborated with scholars based in Czechia, United States and Slovakia. Frequent co-authors include Roman Pasechnik, V. Šimák, I. Zborovský, J. Nemchik, V. P. Gonçalves, R. S. Simon, I. K. Potashnikova, M. Pachr, V. Petráček and Róbert Lórencz. Their work appears in journals such as Physical review. D, Physics Letters B, Nuclear Physics A, The European Physical Journal A and Physical Review Letters.
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.