L. Gouskos
Impact in
- Nuclear and High Energy Physics top 10%
- Particle physics theoretical and experimental studies
- Particle Detector Development and Performance
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Dark Matter and Cosmic Phenomena
- Astrophysics and Cosmic Phenomena
-
- Computational Physics and Python Applications
Papers in
-
- Particle physics theoretical and experimental studies 5
- Particle Detector Development and Performance 5
- High-Energy Particle Collisions Research 2
- Astrophysics and Cosmic Phenomena 1
-
- Medical Imaging Techniques and Applications 2
- Co-authors
- H. Qu (2 shared papers)M. Selvaggi (2 shared papers)F. Bedeschi (1 shared paper)V. M. Mikuni (1 shared paper)Benedikt Maier (1 shared paper)S. P. Liechti (1 shared paper)F. Simon (1 shared paper)F. Iemmi (1 shared paper)
- Journals
- Physical review. D (2 papers)The European Physical Journal C (2 papers)The European Physical Journal Plus (1 paper)Indian Journal of Physics (1 paper)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
L. Gouskos
5 papers receiving 205 citations
Peers
Comparison fields: 5 of 31
- Nuclear and High Energy Physics 170
- Artificial Intelligence 60
- Information Systems and Management 10
- Radiology, Nuclear Medicine and Imaging 24
- Radiation 9
Countries citing papers authored by L. Gouskos
This map shows the geographic impact of L. Gouskos'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 L. Gouskos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Gouskos more than expected).
Fields of papers citing papers by L. Gouskos
This network shows the impact of papers produced by L. Gouskos. 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 L. Gouskos. The network helps show where L. Gouskos may publish in the future.
Co-authors
The 24 scholars most cited alongside L. Gouskos, 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 | 184 | |
| 2 | 2022 | 16 | |
| 3 | 2007 | 5 | |
| 4 | 2021 | 3 | |
| 5 | 2023 | 3 | |
| 6 | 2010 | 0 |
About L. Gouskos
L. Gouskos is a scholar working on Nuclear and High Energy Physics, Radiology, Nuclear Medicine and Imaging, Radiation, Artificial Intelligence and Infectious Diseases, having authored 6 papers that have together received 211 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (5 papers), Particle Detector Development and Performance (5 papers), Medical Imaging Techniques and Applications (2 papers), High-Energy Particle Collisions Research (2 papers), Gaussian Processes and Bayesian Inference (1 paper), Computational Physics and Python Applications (1 paper), Astrophysics and Cosmic Phenomena (1 paper) and Radiation Detection and Scintillator Technologies (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (170 citations), Artificial Intelligence (60 citations), Information Systems and Management (10 citations), Radiology, Nuclear Medicine and Imaging (24 citations) and Radiation (9 citations). L. Gouskos has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include H. Qu, M. Selvaggi, F. Bedeschi, V. M. Mikuni, Benedikt Maier, S. P. Liechti, F. Simon, F. Iemmi, P. Azzi and S. Başeğmez. Their work appears in journals such as Physical review. D, The European Physical Journal C, The European Physical Journal Plus and Indian Journal of Physics.
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.