M. Gajdus
Impact in
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- Astrophysics and Cosmic Phenomena
- Particle Detector Development and Performance
- Dark Matter and Cosmic Phenomena
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- Gamma-ray bursts and supernovae
Papers in
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- Astrophysics and Cosmic Phenomena 3
- Dark Matter and Cosmic Phenomena 1
- Neutrino Physics Research 1
- Particle physics theoretical and experimental studies 1
- Particle Detector Development and Performance 1
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- Pulsars and Gravitational Waves Research 1
- Gamma-ray bursts and supernovae 1
- Co-authors
- S. Schlenker (1 shared paper)A. Balzer (2 shared papers)D. Göring (2 shared papers)M. de Naurois (2 shared papers)R. D. Parsons (1 shared paper)A. Lopatin (2 shared papers)C. Stegmann (2 shared papers)M. Füßling (2 shared papers)
- Journals
- Astroparticle Physics (1 paper)Journal of Physics Conference Series (1 paper)Proceedings of The 34th International Cosmic Ray Conference — PoS(ICRC2015) (1 paper)Proceedings of The 34th International Cosmic Ray Conference — PoS(ICRC2015) (1 paper)
- Partner nations
- GermanyFranceSwitzerland
In The Last Decade
M. Gajdus
4 papers receiving 15 citations
Peers
Comparison fields: 5 of 10
- Nuclear and High Energy Physics 11
- Astronomy and Astrophysics 9
- Instrumentation 1
- Computer Networks and Communications 3
- Media Technology 1
Countries citing papers authored by M. Gajdus
This map shows the geographic impact of M. Gajdus'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. Gajdus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Gajdus more than expected).
Fields of papers citing papers by M. Gajdus
This network shows the impact of papers produced by M. Gajdus. 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. Gajdus. The network helps show where M. Gajdus may publish in the future.
Co-authors
The 18 scholars most cited alongside M. Gajdus, 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 | 2013 | 11 | |
| 2 | 2016 | 2 | |
| 3 | 2016 | 1 | |
| 4 | 2014 | 1 |
About M. Gajdus
M. Gajdus is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Oceanography, Computer Vision and Pattern Recognition and Infectious Diseases, having authored 4 papers that have together received 15 indexed citations. Recurring topics across this work include Astrophysics and Cosmic Phenomena (3 papers), Advanced Data Compression Techniques (1 paper), Dark Matter and Cosmic Phenomena (1 paper), Neutrino Physics Research (1 paper), Particle physics theoretical and experimental studies (1 paper), Particle Detector Development and Performance (1 paper), Pulsars and Gravitational Waves Research (1 paper) and Gamma-ray bursts and supernovae (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (11 citations), Astronomy and Astrophysics (9 citations), Instrumentation (1 citation), Computer Networks and Communications (3 citations) and Media Technology (1 citation). M. Gajdus has collaborated with scholars based in Germany, France and Switzerland. Frequent co-authors include S. Schlenker, A. Balzer, D. Göring, M. de Naurois, R. D. Parsons, A. Lopatin, C. Stegmann, M. Füßling, T. Murach and U. Schwanke. Their work appears in journals such as Astroparticle Physics, Journal of Physics Conference Series, Proceedings of The 34th International Cosmic Ray Conference — PoS(ICRC2015) and Proceedings of The 34th International Cosmic Ray Conference — PoS(ICRC2015).
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.