W. Korcari
Impact in
- Nuclear and High Energy Physics top 10%
- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Particle Detector Development and Performance
- Quantum Chromodynamics and Particle Interactions
- Dark Matter and Cosmic Phenomena
Papers in
-
- Particle physics theoretical and experimental studies 7
- High-Energy Particle Collisions Research 6
- Particle Detector Development and Performance 3
- Dark Matter and Cosmic Phenomena 1
-
- Computational Physics and Python Applications 3
- Co-authors
- Erik Buhmann (6 shared papers)K. Krüger (5 shared papers)Frank Gaede (6 shared papers)Sascha Diefenbacher (4 shared papers)Gregor Kasieczka (5 shared papers)Engin Eren (4 shared papers)L. Rustige (3 shared papers)Kai Zhou (1 shared paper)
- Journals
- Journal of Instrumentation (2 papers)Machine Learning Science and Technology (1 paper)SHILAP Revista de lepidopterología (1 paper)arXiv (Cornell University) (1 paper)Proceedings of 41st International Conference on High Energy physics — PoS(ICHEP2022) (1 paper)
- Partner nations
- GermanyUkraineUnited States
In The Last Decade
W. Korcari
7 papers receiving 119 citations
Peers
Comparison fields: 5 of 20
- Nuclear and High Energy Physics 91
- Radiation 10
- Artificial Intelligence 33
- Computer Vision and Pattern Recognition 19
- Statistical and Nonlinear Physics 10
Countries citing papers authored by W. Korcari
This map shows the geographic impact of W. Korcari'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 W. Korcari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. Korcari more than expected).
Fields of papers citing papers by W. Korcari
This network shows the impact of papers produced by W. Korcari. 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 W. Korcari. The network helps show where W. Korcari may publish in the future.
Co-authors
The 20 scholars most cited alongside W. Korcari, 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 | 2022 | 43 | |
| 2 | 2023 | 36 | |
| 3 | 2024 | 17 | |
| 4 | 2022 | 10 | |
| 5 | 2021 | 10 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 1 |
About W. Korcari
W. Korcari is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence, Computational Mechanics, Infectious Diseases and Organic Chemistry, having authored 7 papers that have together received 119 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (7 papers), High-Energy Particle Collisions Research (6 papers), Particle Detector Development and Performance (3 papers), Computational Physics and Python Applications (3 papers), Dark Matter and Cosmic Phenomena (1 paper) and Granular flow and fluidized beds (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (91 citations), Radiation (10 citations), Artificial Intelligence (33 citations), Computer Vision and Pattern Recognition (19 citations) and Statistical and Nonlinear Physics (10 citations). W. Korcari has collaborated with scholars based in Germany, Ukraine and United States. Frequent co-authors include Erik Buhmann, K. Krüger, Frank Gaede, Sascha Diefenbacher, Gregor Kasieczka, Engin Eren, L. Rustige, Kai Zhou, T. Kuhr and P. Fackeldey. Their work appears in journals such as Journal of Instrumentation, Machine Learning Science and Technology, SHILAP Revista de lepidopterología, arXiv (Cornell University) and Proceedings of 41st International Conference on High Energy physics — PoS(ICHEP2022).
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.