M. Frank
- Nuclear and High Energy Physics top 10%
- Particle physics theoretical and experimental studies 31
- Particle Detector Development and Performance 31
- High-Energy Particle Collisions Research 3
- Radiation top 10%
- Radiation Detection and Scintillator Technologies 5
-
- Distributed and Parallel Computing Systems 28
- Advanced Data Storage Technologies 25
-
- Scientific Computing and Data Management 9
-
- Parallel Computing and Optimization Techniques 5
M. Frank
43 papers receiving 199 citations
Peers
Comparison fields: 5 of 31
- Nuclear and High Energy Physics 162
- Radiation 37
- Computer Networks and Communications 84
- Information Systems and Management 21
- Hardware and Architecture 16
Countries citing papers authored by M. Frank
This map shows the geographic impact of M. Frank'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. Frank with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Frank more than expected).
Fields of papers citing papers by M. Frank
This network shows the impact of papers produced by M. Frank. 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. Frank. The network helps show where M. Frank may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. Frank, 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 | 2023 | 2 | |
| 2 | 2023 | 0 | |
| 3 | 2020 | 2 | |
| 4 | 2019 | 1 | |
| 5 | 2018 | 0 | |
| 6 | 2017 | 5 | |
| 7 | 2017 | 10 | |
| 8 | Performance Prediction for Multicore Environments - A Experiment Report. | 2016 | 1 |
| 9 | 2015 | 1 | |
| 10 | 2014 | 2 | |
| 11 | The LHCb experiment control system : on the path to full automation | 2011 | 2 |
| 12 | 2010 | 2 | |
| 13 | 2010 | 3 | |
| 14 | 2009 | 1 | |
| 15 | 2008 | 1 | |
| 16 | 2008 | 0 | |
| 17 | 2007 | 2 | |
| 18 | 2005 | 6 | |
| 19 | Integration of Geant4 with the Gaudi Framework | 2001 | 5 |
| 20 | 2000 | 12 |
About M. Frank
M. Frank is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications, Information Systems and Management, Hardware and Architecture and Radiation, having authored 54 papers that have together received 210 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (31 papers), Particle Detector Development and Performance (31 papers), Distributed and Parallel Computing Systems (28 papers), Advanced Data Storage Technologies (25 papers), Scientific Computing and Data Management (9 papers), Parallel Computing and Optimization Techniques (5 papers), Radiation Detection and Scintillator Technologies (5 papers) and High-Energy Particle Collisions Research (3 papers). The work is most often cited by research in Nuclear and High Energy Physics (162 citations), Radiation (37 citations), Computer Networks and Communications (84 citations), Information Systems and Management (21 citations) and Hardware and Architecture (16 citations). M. Frank has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Frank Gaede, C. Grefe, Pere Mato, Niko Neufeld, B. Jost, C. Gaspar, I. Belyaev, P. Mató, N. Nikiforou and M. Petrič. Their work appears in journals such as IEEE Transactions on Nuclear Science, American Journal of Medical Genetics Part B Neuropsychiatric Genetics, Concurrency and Computation Practice and Experience, 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.