Stefan Höche
- Nuclear and High Energy Physics top 0.5%
- Astronomy and Astrophysics top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Co-authors
- Frank KraussF. SiegertMarek SchönherrT. GleisbergS. SchumannStefan PrestelJan WinterYe Li
- Topics
- Particle physics theoretical and experimental studies (77 papers)High-Energy Particle Collisions Research (62 papers)Quantum Chromodynamics and Particle Interactions (51 papers)
- Cited by
- Nuclear and High Energy PhysicsAstronomy and AstrophysicsComputer Networks and Communications
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Stefan Höche
75 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Nuclear and High Energy Physics 3.4k
- Astronomy and Astrophysics 328
- Artificial Intelligence 172
- Computer Networks and Communications 170
- Electrical and Electronic Engineering 82
Countries citing papers authored by Stefan Höche
This map shows the geographic impact of Stefan Höche'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 Stefan Höche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Höche more than expected).
Fields of papers citing papers by Stefan Höche
This network shows the impact of papers produced by Stefan Höche. 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 Stefan Höche. The network helps show where Stefan Höche may publish in the future.
Co-authorship network of co-authors of Stefan Höche
This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Höche. A scholar is included among the top collaborators of Stefan Höche 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 Stefan Höche. Stefan Höche is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 6 | |
| 4 | 7 | |
| 5 | 29 | |
| 6 | 5 | |
| 7 | 14 | |
| 8 | 11 | |
| 9 | 11 | |
| 10 | 4 | |
| 11 | 12 | |
| 12 | 21 | |
| 13 | 18 | |
| 14 | 12 | |
| 15 | 24 | |
| 16 | 19 | |
| 17 | 33 | |
| 18 | 33 | |
| 19 | 67 | |
| 20 | Effective Rule Induction from Molecular Structures Represented by Labeled Graphs | 0 |
About Stefan Höche
Stefan Höche is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Artificial Intelligence, having authored 78 papers that have together received 3.5k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (77 papers), High-Energy Particle Collisions Research (62 papers) and Quantum Chromodynamics and Particle Interactions (51 papers). The work is most often cited by research in Nuclear and High Energy Physics (3.4k citations), Astronomy and Astrophysics (328 citations) and Computer Networks and Communications (170 citations). Stefan Höche has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Frank Krauss, F. Siegert, Marek Schönherr, T. Gleisberg, S. Schumann, Stefan Prestel, Jan Winter, Ye Li, Fabio Maltoni and F. Febres Cordero. Their work appears in journals such as Physical Review Letters, Physics Letters B and Computer Physics Communications.
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.