B. Schlag
Impact in
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- Particle physics theoretical and experimental studies
- Particle Detector Development and Performance
- Neutrino Physics Research
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- Computer Graphics and Visualization Techniques
Papers in
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- Computational Physics and Python Applications 1
- Natural Language Processing Techniques 1
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- Particle physics theoretical and experimental studies 2
- Particle Detector Development and Performance 1
- Co-authors
- N. Calace (1 shared paper)R. J. Langenberg (1 shared paper)Jin Zhang (1 shared paper)M. Kiehn (2 shared papers)X. Ai (2 shared papers)F. Klimpel (2 shared papers)C. Gumpert (1 shared paper)A. Salzburger (2 shared papers)
- Journals
- Zenodo (CERN European Organization for Nuclear Research) (1 paper)CERN Document Server (European Organization for Nuclear Research) (1 paper)EPJ Web of Conferences (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), Particle Detector Development and Performance (1 paper), Computational Physics and Python Applications (1 paper), Natural Language Processing Techniques (1 paper), Advanced Data Storage Technologies (1 paper) and Distributed and Parallel Computing Systems (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 N. Calace, R. J. Langenberg, Jin Zhang, M. Kiehn, R. J. Langenberg, X. Ai, F. Klimpel, C. Gumpert, A. Salzburger and H. M. Gray. Their work appears in journals such as Zenodo (CERN European Organization for Nuclear Research), CERN Document Server (European Organization for Nuclear Research) and EPJ Web of Conferences.
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.