B. Schlag
Impact in
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- Particle physics theoretical and experimental studies
- Particle Detector Development and Performance
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- Computer Graphics and Visualization Techniques
Papers in
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- Natural Language Processing Techniques 1
- Computational Physics and Python Applications 1
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- Particle physics theoretical and experimental studies 2
- Particle Detector Development and Performance 1
- Co-authors
- F. Klimpel (2 shared papers)R. J. Langenberg (1 shared paper)N. Calace (1 shared paper)C. Allaire (1 shared paper)A. Salzburger (2 shared papers)H. M. Gray (2 shared papers)M. Kiehn (2 shared papers)Jin Zhang (1 shared paper)
- Journals
- SHILAP Revista de lepidopterología (1 paper)CERN Bulletin (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)
- Partner nations
- SwitzerlandFranceGermany
In The Last Decade
B. Schlag
3 papers receiving 6 citations
Peers
Comparison fields: 5 of 8
- Nuclear and High Energy Physics 4
- Computer Graphics and Computer-Aided Design 1
- Geology 1
- Computer Networks and Communications 2
- Statistical and Nonlinear Physics 1
Countries citing papers authored by B. Schlag
This map shows the geographic impact of B. Schlag'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 B. Schlag with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. Schlag more than expected).
Fields of papers citing papers by B. Schlag
This network shows the impact of papers produced by B. Schlag. 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 B. Schlag. The network helps show where B. Schlag may publish in the future.
Co-authors
The 11 scholars most cited alongside B. Schlag, 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 | 2020 | 3 | |
| 2 | 2020 | 2 | |
| 3 | Jet Reconstruction in the ATLAS Level-1 Calorimeter Trigger with Deep Artificial Neural Networks | 2019 | 1 |
About B. Schlag
B. Schlag is a scholar working on Artificial Intelligence, Nuclear and High Energy Physics, Computer Networks and Communications, Infectious Diseases and Organic Chemistry, having authored 3 papers that have together received 6 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (2 papers), Distributed and Parallel Computing Systems (1 paper), Advanced Data Storage Technologies (1 paper), Natural Language Processing Techniques (1 paper), Particle Detector Development and Performance (1 paper) and Computational Physics and Python Applications (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (4 citations), Computer Graphics and Computer-Aided Design (1 citation), Geology (1 citation), Computer Networks and Communications (2 citations) and Statistical and Nonlinear Physics (1 citation). B. Schlag has collaborated with scholars based in Switzerland, France and Germany. Frequent co-authors include F. Klimpel, R. J. Langenberg, R. J. Langenberg, N. Calace, C. Allaire, A. Salzburger, H. M. Gray, M. Kiehn, Jin Zhang and X. Ai. Their work appears in journals such as SHILAP Revista de lepidopterología, CERN Bulletin and Zenodo (CERN 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.