J. Schaarschmidt
Impact in
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- Radiation Detection and Scintillator Technologies
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- Particle Detector Development and Performance
- Dark Matter and Cosmic Phenomena
- Particle physics theoretical and experimental studies
Papers in
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- Particle Detector Development and Performance 3
- Particle physics theoretical and experimental studies 2
- Dark Matter and Cosmic Phenomena 1
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- Radiation Detection and Scintillator Technologies 2
- Co-authors
- M. Pitt (1 shared paper)J.M.F. dos Santos (1 shared paper)L. Arazi (1 shared paper)J.F.C.A. Veloso (1 shared paper)E. Oliveri (1 shared paper)L. Moleri (1 shared paper)F. D. Amaro (1 shared paper)C.D.R. Azevedo (1 shared paper)
- Journals
- Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (1 paper)SHILAP Revista de lepidopterología (2 papers)CERN Bulletin (1 paper)
- Partner nations
- United StatesSwitzerlandBelgium
In The Last Decade
J. Schaarschmidt
2 papers receiving 15 citations
Peers
Comparison fields: 4 of 4
- Radiation 12
- Nuclear and High Energy Physics 15
- Electrical and Electronic Engineering 10
- Biomedical Engineering 1
Countries citing papers authored by J. Schaarschmidt
This map shows the geographic impact of J. Schaarschmidt'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. Schaarschmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Schaarschmidt more than expected).
Fields of papers citing papers by J. Schaarschmidt
This network shows the impact of papers produced by J. Schaarschmidt. 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. Schaarschmidt. The network helps show where J. Schaarschmidt may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Schaarschmidt, 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 | 2016 | 14 | |
| 2 | 2024 | 1 | |
| 3 | 2020 | 0 | |
| 4 | New approaches using machine learning for fast shower simulation in ATLAS | 2018 | 0 |
About J. Schaarschmidt
J. Schaarschmidt is a scholar working on Nuclear and High Energy Physics, Radiation, Computer Networks and Communications, Hardware and Architecture and Radiology, Nuclear Medicine and Imaging, having authored 4 papers that have together received 15 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (3 papers), Radiation Detection and Scintillator Technologies (2 papers), Particle physics theoretical and experimental studies (2 papers), Dark Matter and Cosmic Phenomena (1 paper), Advanced Data Storage Technologies (1 paper), Parallel Computing and Optimization Techniques (1 paper), Medical Imaging Techniques and Applications (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Radiation (12 citations), Nuclear and High Energy Physics (15 citations), Electrical and Electronic Engineering (10 citations), Biomedical Engineering (1 citation) and Infectious Diseases (0 citations). J. Schaarschmidt has collaborated with scholars based in United States, Switzerland and Belgium. Frequent co-authors include M. Pitt, J.M.F. dos Santos, L. Arazi, J.F.C.A. Veloso, E. Oliveri, L. Moleri, F. D. Amaro, C.D.R. Azevedo, S. Bressler and K. Cranmer. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, SHILAP Revista de lepidopterología and CERN Bulletin.
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.