J. Mechnich
Impact in
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- Particle physics theoretical and experimental studies
- Particle Detector Development and Performance
- High-Energy Particle Collisions Research
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- Data Quality and Management
Papers in
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- Particle Detector Development and Performance 3
- Particle physics theoretical and experimental studies 3
- High-Energy Particle Collisions Research 1
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- Distributed and Parallel Computing Systems 2
- Co-authors
- A. Salzburger (2 shared papers)K. Edmonds (1 shared paper)S. Fleischmann (1 shared paper)C. Magass (1 shared paper)T. Lenz (1 shared paper)U. Husemann (1 shared paper)
- Journals
- Journal of Physics Conference Series (2 papers)MADOC (University of Mannheim) (1 paper)CERN Document Server (European Organization for Nuclear Research) (1 paper)
- Partner nations
- NetherlandsGermanySwitzerland
In The Last Decade
J. Mechnich
4 papers receiving 18 citations
Peers
Comparison fields: 5 of 8
- Nuclear and High Energy Physics 16
- Management Science and Operations Research 4
- Radiation 2
- Radiology, Nuclear Medicine and Imaging 4
- Artificial Intelligence 5
Countries citing papers authored by J. Mechnich
This map shows the geographic impact of J. Mechnich'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 J. Mechnich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Mechnich more than expected).
Fields of papers citing papers by J. Mechnich
This network shows the impact of papers produced by J. Mechnich. 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 J. Mechnich. The network helps show where J. Mechnich may publish in the future.
Co-authors
The 6 scholars most cited alongside J. Mechnich, 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 | The fast ATLAS track simulation (FATRAS) | 2008 | 11 |
| 2 | bbw: Matching CSV to Wikidata via Meta-lookup. | 2020 | 4 |
| 3 | 2011 | 3 | |
| 4 | 2010 | 2 |
About J. Mechnich
J. Mechnich is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications, Communication, Artificial Intelligence and Infectious Diseases, having authored 4 papers that have together received 20 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (3 papers), Particle physics theoretical and experimental studies (3 papers), Distributed and Parallel Computing Systems (2 papers), Wikis in Education and Collaboration (1 paper), Topic Modeling (1 paper), Natural Language Processing Techniques (1 paper) and High-Energy Particle Collisions Research (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (16 citations), Management Science and Operations Research (4 citations), Radiation (2 citations), Radiology, Nuclear Medicine and Imaging (4 citations) and Artificial Intelligence (5 citations). J. Mechnich has collaborated with scholars based in Netherlands, Germany and Switzerland. Frequent co-authors include A. Salzburger, K. Edmonds, S. Fleischmann, C. Magass, T. Lenz and U. Husemann. Their work appears in journals such as Journal of Physics Conference Series, MADOC (University of Mannheim) and CERN Document Server (European Organization for Nuclear 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.