M. Pech
Impact in
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- Astrophysics and Cosmic Phenomena
- Dark Matter and Cosmic Phenomena
- Particle Detector Development and Performance
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- Gamma-ray bursts and supernovae
Papers in
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- Astrophysics and Cosmic Phenomena 12
- Dark Matter and Cosmic Phenomena 7
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- Calibration and Measurement Techniques 8
- Co-authors
- Dušan Mandát (23 shared papers)M. Palatka (14 shared papers)Petr Schovánek (14 shared papers)M. Hrabovský (13 shared papers)P. Trávnı́ček (12 shared papers)M. Prouza (7 shared papers)Toshihiro Fujii (6 shared papers)Jan Ebr (6 shared papers)
- Journals
- Optik (4 papers)Astroparticle Physics (2 papers)Journal of Instrumentation (2 papers)Measurement Science and Technology (1 paper)Advances in Space Research (1 paper)
- Partner nations
- CzechiaUnited StatesAustralia
In The Last Decade
M. Pech
26 papers receiving 98 citations
Peers
Comparison fields: 5 of 35
- Nuclear and High Energy Physics 51
- Astronomy and Astrophysics 25
- Hepatology 8
- Atmospheric Science 20
- Radiation 7
Countries citing papers authored by M. Pech
This map shows the geographic impact of M. Pech'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. Pech with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Pech more than expected).
Fields of papers citing papers by M. Pech
This network shows the impact of papers produced by M. Pech. 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. Pech. The network helps show where M. Pech may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Pech, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 19 | |
| 2 | 2002 | 10 | |
| 3 | 2016 | 9 | |
| 4 | 2015 | 6 | |
| 5 | 2017 | 6 | |
| 6 | 2021 | 5 | |
| 7 | 2019 | 5 | |
| 8 | 2020 | 5 | |
| 9 | 2011 | 4 | |
| 10 | 2017 | 4 | |
| 11 | 2016 | 3 | |
| 12 | 2017 | 3 | |
| 13 | 2019 | 3 | |
| 14 | 2022 | 3 | |
| 15 | 2021 | 2 | |
| 16 | New method for atmospheric calibration at the Pierre Auger Observatory using FRAM, a robotic astronomical telescope | 2007 | 2 |
| 17 | 2015 | 2 | |
| 18 | 2019 | 2 | |
| 19 | 2009 | 1 | |
| 20 | 2017 | 1 |
About M. Pech
M. Pech is a scholar working on Nuclear and High Energy Physics, Aerospace Engineering, Computational Mechanics, Astronomy and Astrophysics and Atmospheric Science, having authored 28 papers that have together received 101 indexed citations. Recurring topics across this work include Astrophysics and Cosmic Phenomena (12 papers), Calibration and Measurement Techniques (8 papers), Dark Matter and Cosmic Phenomena (7 papers), Atmospheric Ozone and Climate (6 papers), Optical measurement and interference techniques (5 papers), Surface Roughness and Optical Measurements (4 papers), Atmospheric aerosols and clouds (4 papers) and Gamma-ray bursts and supernovae (4 papers). The work is most often cited by research in Nuclear and High Energy Physics (51 citations), Astronomy and Astrophysics (25 citations), Hepatology (8 citations), Atmospheric Science (20 citations) and Radiation (7 citations). M. Pech has collaborated with scholars based in Czechia, United States and Australia. Frequent co-authors include Dušan Mandát, M. Palatka, Petr Schovánek, M. Hrabovský, P. Trávnı́ček, M. Prouza, Toshihiro Fujii, Jan Ebr, J. N. Matthews and M. Malacari. Their work appears in journals such as Optik, Astroparticle Physics, Journal of Instrumentation, Measurement Science and Technology and Advances in Space Research.
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.