F. Gaede
Impact in
-
- Particle physics theoretical and experimental studies
- Particle Detector Development and Performance
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
-
- Computational Physics and Python Applications
- Neural Networks and Applications
Papers in
-
- Particle Detector Development and Performance 4
- Particle physics theoretical and experimental studies 2
-
- Radiation Detection and Scintillator Technologies 3
- Nuclear Physics and Applications 1
- Co-authors
- M. Kolander (2 shared papers)J. Fent (2 shared papers)W. Haberer (1 shared paper)T. Krämerkämper (2 shared papers)C. Kiesling (2 shared papers)Jeffrey R. Mock (2 shared papers)A. Wegner (1 shared paper)T. Kobler (2 shared papers)
- Journals
- Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (1 paper)International Journal of Modern Physics C (1 paper)Journal of Physics Conference Series (2 papers)Proceedings Of Science (1 paper)
- Partner nations
- GermanySwitzerlandChina
In The Last Decade
F. Gaede
2 papers receiving 28 citations
Peers
Comparison fields: 5 of 17
- Nuclear and High Energy Physics 24
- Artificial Intelligence 14
- Hardware and Architecture 2
- Computer Networks and Communications 6
- Signal Processing 2
Countries citing papers authored by F. Gaede
This map shows the geographic impact of F. Gaede'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 F. Gaede with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Gaede more than expected).
Fields of papers citing papers by F. Gaede
This network shows the impact of papers produced by F. Gaede. 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 F. Gaede. The network helps show where F. Gaede may publish in the future.
Co-authors
The 25 scholars most cited alongside F. Gaede, 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 | 1997 | 26 | |
| 2 | 2017 | 5 | |
| 3 | 1995 | 1 | |
| 4 | 2023 | 0 | |
| 5 | 2025 | 0 |
About F. Gaede
F. Gaede is a scholar working on Nuclear and High Energy Physics, Radiation, Computer Networks and Communications, Radiology, Nuclear Medicine and Imaging and Industrial and Manufacturing Engineering, having authored 5 papers that have together received 32 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (4 papers), Radiation Detection and Scintillator Technologies (3 papers), Particle physics theoretical and experimental studies (2 papers), Nuclear Physics and Applications (1 paper), Manufacturing Process and Optimization (1 paper), Medical Imaging Techniques and Applications (1 paper), Digital Transformation in Industry (1 paper) and Advanced Data Storage Technologies (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (24 citations), Artificial Intelligence (14 citations), Hardware and Architecture (2 citations), Computer Networks and Communications (6 citations) and Signal Processing (2 citations). F. Gaede has collaborated with scholars based in Germany, Switzerland and China. Frequent co-authors include M. Kolander, J. Fent, W. Haberer, T. Krämerkämper, C. Kiesling, Jeffrey R. Mock, A. Wegner, T. Kobler, H. Kolanoski and D. Goldner. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, International Journal of Modern Physics C, Journal of Physics Conference Series and Proceedings Of Science.
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.