Stephan Linn
Impact in
-
- Particle Detector Development and Performance
- Particle physics theoretical and experimental studies
- Dark Matter and Cosmic Phenomena
-
- Neural Networks and Applications
Papers in
-
- Computational Physics and Python Applications 2
- Neural Networks and Applications 1
-
- Image and Signal Denoising Methods 1
- Co-authors
- B. Denby (1 shared paper)
- Journals
- Computer Physics Communications (1 paper)Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (1 paper)
- Partner nations
- United States
In The Last Decade
Stephan Linn
2 papers receiving 11 citations
Peers
Comparison fields: 5 of 15
- Nuclear and High Energy Physics 3
- Artificial Intelligence 6
- Radiation 1
- Computer Vision and Pattern Recognition 2
- Signal Processing 1
Countries citing papers authored by Stephan Linn
This map shows the geographic impact of Stephan Linn'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 Stephan Linn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Linn more than expected).
Fields of papers citing papers by Stephan Linn
This network shows the impact of papers produced by Stephan Linn. 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 Stephan Linn. The network helps show where Stephan Linn may publish in the future.
Co-authors
The 1 scholars most cited alongside Stephan Linn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
About Stephan Linn
Stephan Linn is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Nuclear and High Energy Physics, Infectious Diseases and Organic Chemistry, having authored 2 papers that have together received 11 indexed citations. Recurring topics across this work include Computational Physics and Python Applications (2 papers), Image and Signal Denoising Methods (1 paper), Astrophysics and Cosmic Phenomena (1 paper), Magnetic confinement fusion research (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (3 citations), Artificial Intelligence (6 citations), Radiation (1 citation), Computer Vision and Pattern Recognition (2 citations) and Signal Processing (1 citation). Stephan Linn has collaborated with scholars based in United States. Frequent co-authors include B. Denby. Their work appears in journals such as Computer Physics Communications and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.
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.