Michael Brodski
Impact in
-
- Dark Matter and Cosmic Phenomena
- Astrophysics and Cosmic Phenomena
- Particle Detector Development and Performance
Papers in
-
- Computational Physics and Python Applications 5
-
- Particle physics theoretical and experimental studies 2
- Particle Detector Development and Performance 2
- Dark Matter and Cosmic Phenomena 1
- Co-authors
- A. L. Levshin (1 shared paper)G. Mueller (2 shared papers)T. Klimkovich (5 shared papers)D. Klingebiel (3 shared papers)A. Hinzmann (5 shared papers)Thomas Münzer (3 shared papers)M. Erdmann (5 shared papers)T. Winchen (5 shared papers)
- Journals
- Geophysical Journal International (1 paper)Journal of Physics Conference Series (2 papers)CERN Document Server (European Organization for Nuclear Research) (1 paper)The Florida AI Research Society (1 paper)RWTH Publications (RWTH Aachen) (1 paper)
In The Last Decade
Michael Brodski
8 papers receiving 26 citations
Peers
Comparison fields: 5 of 23
- Nuclear and High Energy Physics 13
- Software 2
- Astronomy and Astrophysics 8
- Geophysics 6
- Information Systems and Management 2
Countries citing papers authored by Michael Brodski
This map shows the geographic impact of Michael Brodski'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 Michael Brodski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Brodski more than expected).
Fields of papers citing papers by Michael Brodski
This network shows the impact of papers produced by Michael Brodski. 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 Michael Brodski. The network helps show where Michael Brodski may publish in the future.
Co-authors
The 21 scholars most cited alongside Michael Brodski, 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 | 1979 | 14 | |
| 2 | 2010 | 5 | |
| 3 | A development environment for visual physics analysis | 2016 | 4 |
| 4 | Visual Physics Analysis - Applications in High-Energy- and Astroparticle-Physics | 2010 | 4 |
| 5 | Modeling Specification and Verification of an Emergency Closing System | 2000 | 2 |
| 6 | 2010 | 2 | |
| 7 | Search for dark matter and unparticles produced in association with a Z boson in pp collisions at $\sqrt{s}$ = 8 TeV at CMS | 2016 | 1 |
| 8 | 2011 | 1 |
About Michael Brodski
Michael Brodski is a scholar working on Artificial Intelligence, Nuclear and High Energy Physics, Computer Networks and Communications, Information Systems and Management and Numerical Analysis, having authored 8 papers that have together received 33 indexed citations. Recurring topics across this work include Computational Physics and Python Applications (5 papers), Particle physics theoretical and experimental studies (2 papers), Particle Detector Development and Performance (2 papers), Distributed and Parallel Computing Systems (2 papers), Big Data Technologies and Applications (2 papers), Dark Matter and Cosmic Phenomena (1 paper), Model-Driven Software Engineering Techniques (1 paper) and Data Visualization and Analytics (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (13 citations), Software (2 citations), Astronomy and Astrophysics (8 citations), Geophysics (6 citations) and Information Systems and Management (2 citations). Michael Brodski has collaborated with scholars based in Germany and Russia. Frequent co-authors include A. L. Levshin, G. Mueller, T. Klimkovich, D. Klingebiel, A. Hinzmann, Thomas Münzer, M. Erdmann, T. Winchen, Stephan Werner and J. Steggemann. Their work appears in journals such as Geophysical Journal International, Journal of Physics Conference Series, CERN Document Server (European Organization for Nuclear Research), The Florida AI Research Society and RWTH Publications (RWTH Aachen).
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.