Léon van Riesen-Haupt
- Biomedical Engineering
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Statistical and Nonlinear Physics
- Artificial Intelligence
- Co-authors
- Jacqueline KeintzelT. RisseladaRogelio TomásW. PorodMichaël HoferFrank ZimmermannEliana Gianfelice-WendtTatiana Pieloni
- Topics
- Particle Accelerators and Free-Electron Lasers (5 papers)Particle Detector Development and Performance (4 papers)Superconducting Materials and Applications (4 papers)
- Journals
- Journal of Physics Conference SeriesCERN Document Server (European Organization for Nuclear Research)CERN Bulletin
- Partner nations
- SwitzerlandUnited KingdomJapan
In The Last Decade
Léon van Riesen-Haupt
4 papers receiving 6 citations
Peers
Comparison fields: 5 of 10
- Biomedical Engineering 5
- Electrical and Electronic Engineering 4
- Computer Networks and Communications 2
- Statistical and Nonlinear Physics 1
- Artificial Intelligence 1
Countries citing papers authored by Léon van Riesen-Haupt
This map shows the geographic impact of Léon van Riesen-Haupt'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 Léon van Riesen-Haupt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Léon van Riesen-Haupt more than expected).
Fields of papers citing papers by Léon van Riesen-Haupt
This network shows the impact of papers produced by Léon van Riesen-Haupt. 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 Léon van Riesen-Haupt. The network helps show where Léon van Riesen-Haupt may publish in the future.
Co-authorship network of co-authors of Léon van Riesen-Haupt
This figure shows the co-authorship network connecting the top 25 collaborators of Léon van Riesen-Haupt. A scholar is included among the top collaborators of Léon van Riesen-Haupt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Léon van Riesen-Haupt. Léon van Riesen-Haupt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 |
About Léon van Riesen-Haupt
Léon van Riesen-Haupt is a scholar working on Nuclear and High Energy Physics, Biomedical Engineering and Electrical and Electronic Engineering, having authored 7 papers that have together received 6 indexed citations. Recurring topics across this work include Particle Accelerators and Free-Electron Lasers (5 papers), Particle Detector Development and Performance (4 papers) and Superconducting Materials and Applications (4 papers). The work is most often cited by research in Catalysis (1 citation), Biomedical Engineering (5 citations) and Computer Networks and Communications (2 citations). Léon van Riesen-Haupt has collaborated with scholars based in Switzerland, United Kingdom and Japan. Frequent co-authors include Jacqueline Keintzel, T. Risselada, Rogelio Tomás, W. Porod, Michaël Hofer, Frank Zimmermann, Eliana Gianfelice-Wendt, Tatiana Pieloni, Demin Zhou and D. P. Barber. Their work appears in journals such as Journal of Physics Conference Series, CERN Document Server (European Organization for Nuclear Research) 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.