Karl Jansen

8.2k total citations · 2 hit papers
190 papers, 5.3k citations indexed

About

Karl Jansen is a scholar working on Nuclear and High Energy Physics, Atomic and Molecular Physics, and Optics and Condensed Matter Physics. According to data from OpenAlex, Karl Jansen has authored 190 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Nuclear and High Energy Physics, 51 papers in Atomic and Molecular Physics, and Optics and 44 papers in Condensed Matter Physics. Recurrent topics in Karl Jansen's work include Quantum Chromodynamics and Particle Interactions (53 papers), Particle physics theoretical and experimental studies (38 papers) and Quantum many-body systems (32 papers). Karl Jansen is often cited by papers focused on Quantum Chromodynamics and Particle Interactions (53 papers), Particle physics theoretical and experimental studies (38 papers) and Quantum many-body systems (32 papers). Karl Jansen collaborates with scholars based in Germany, Cyprus and United States. Karl Jansen's co-authors include Richard L. M. Faull, Mike Dragunow, Krzysztof Cichy, Mari Carmen Bañuls, Carsten Urbach, Stefan Kühn, J. I. Cirac, Constantia Alexandrou, Michael Dragunow and Lena Funcke and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and Neurology.

In The Last Decade

Karl Jansen

180 papers receiving 5.2k citations

Hit Papers

Simulating lattice gauge theories within quantum technolo... 2019 2026 2021 2023 2019 2023 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Karl Jansen Germany 42 1.9k 1.2k 1.2k 783 615 190 5.3k
Pisin Chen United States 41 3.1k 1.7× 934 0.8× 1.2k 1.0× 1.7k 2.1× 66 0.1× 362 8.3k
Henning B. Nielsen Denmark 43 807 0.4× 369 0.3× 742 0.6× 641 0.8× 277 0.5× 153 6.7k
Gregory J. Moore United States 49 487 0.3× 1.7k 1.3× 174 0.1× 816 1.0× 59 0.1× 113 8.0k
J. Candy United States 57 7.2k 3.8× 997 0.8× 376 0.3× 1.2k 1.5× 128 0.2× 238 10.8k
Jeff H. Duyn United States 66 528 0.3× 1.1k 0.9× 1.3k 1.1× 819 1.0× 14 0.0× 185 18.0k
Karl Young United States 21 428 0.2× 315 0.3× 274 0.2× 562 0.7× 59 0.1× 44 3.6k
Herbert Spohn Germany 59 397 0.2× 163 0.1× 3.8k 3.2× 369 0.5× 5.0k 8.2× 264 13.6k
David M. Doddrell Australia 46 1.6k 0.9× 234 0.2× 730 0.6× 2.0k 2.5× 38 0.1× 235 9.6k
K. Hepp Switzerland 38 405 0.2× 357 0.3× 1.6k 1.4× 646 0.8× 197 0.3× 119 5.5k
Matthew J. Brookes United Kingdom 56 108 0.1× 925 0.7× 3.2k 2.7× 243 0.3× 60 0.1× 167 11.6k

Countries citing papers authored by Karl Jansen

Since Specialization
Citations

This map shows the geographic impact of Karl Jansen'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 Karl Jansen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karl Jansen more than expected).

Fields of papers citing papers by Karl Jansen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karl Jansen. 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 Karl Jansen. The network helps show where Karl Jansen may publish in the future.

Co-authorship network of co-authors of Karl Jansen

This figure shows the co-authorship network connecting the top 25 collaborators of Karl Jansen. A scholar is included among the top collaborators of Karl Jansen 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 Karl Jansen. Karl Jansen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Jansen, Karl, et al.. (2025). Flow-Based Sampling for Entanglement Entropy and the Machine Learning of Defects. Physical Review Letters. 134(15). 151601–151601. 1 indexed citations
3.
Jansen, Karl, et al.. (2025). Meson thermalization with a hot medium in the open Schwinger model. Journal of High Energy Physics. 2025(4).
5.
Tüysüz, Cenk, et al.. (2024). Symmetry Breaking in Geometric Quantum Machine Learning in the Presence of Noise. PRX Quantum. 5(3). 9 indexed citations
6.
Hartung, Tobias, et al.. (2023). Determining the ability for universal quantum computing: Testing controllability via dimensional expressivity. Quantum. 7. 1214–1214. 1 indexed citations
7.
Sarkar, Mugdha, et al.. (2023). Study of SU(2) gauge theories with multiple Higgs fields in different representations. Proceedings of The 39th International Symposium on Lattice Field Theory — PoS(LATTICE2022). 388–388. 2 indexed citations
8.
Kühn, Stefan, F. Gerken, Lena Funcke, et al.. (2023). Quantum spin helices more stable than the ground state: Onset of helical protection. Physical review. B.. 107(21). 6 indexed citations
9.
Funcke, Lena, Karl Jansen, & Stefan Kühn. (2023). Exploring the CP-violating Dashen phase in the Schwinger model with tensor networks. Physical review. D. 108(1). 13 indexed citations
10.
Funcke, Lena, et al.. (2023). Computing the mass shift of Wilson and staggered fermions in the lattice Schwinger model with matrix product states. Physical review. D. 108(1). 13 indexed citations
11.
Funcke, Lena, et al.. (2022). Measurement error mitigation in quantum computers through classical bit-flip correction. Physical review. A. 105(6). 35 indexed citations
12.
Funcke, Lena, Stefan Kühn, Jinglei Zhang, et al.. (2022). 3+1D $\theta$-Term on the Lattice from the Hamiltonian Perspective. Proceedings of The 38th International Symposium on Lattice Field Theory — PoS(LATTICE2021). 112–112. 3 indexed citations
13.
Kuo, Frances Y., et al.. (2022). Lattice field computations via recursive numerical integration. Proceedings of The 38th International Symposium on Lattice Field Theory — PoS(LATTICE2021). 10–10. 1 indexed citations
14.
Funcke, Lena, Stefan Kühn, Jinglei Zhang, et al.. (2021). Investigating a (3+1)D topological θ-term in the Hamiltonian formulation of lattice gauge theories for quantum and classical simulations. Physical review. D. 104(3). 20 indexed citations
15.
Funcke, Lena, Karl Jansen, & Stefan Kühn. (2020). Topological vacuum structure of the Schwinger model with matrix product states. Physical review. D. 101(5). 56 indexed citations
16.
Bañuls, Mari Carmen, R. Blatt, Jacopo Catani, et al.. (2019). Simulating lattice gauge theories within quantum technologies. Apollo (University of Cambridge). 360 indexed citations breakdown →
17.
Alexandrou, Constantia, Simone Bacchio, Krzysztof Cichy, et al.. (2018). Computation of parton distributions from the quasi-PDF approach at the physical point. Springer Link (Chiba Institute of Technology). 16 indexed citations
18.
Alexandrou, Constantia, Krzysztof Cichy, Martha Constantinou, et al.. (2018). Progress in computing parton distribution functions from the quasi-PDF approach. Springer Link (Chiba Institute of Technology). 3 indexed citations
19.
Bañuls, Mari Carmen, Krzysztof Cichy, J. I. Cirac, et al.. (2017). Towards overcoming the Monte Carlo sign problem with tensor networks. Springer Link (Chiba Institute of Technology). 12 indexed citations
20.
Merlin, Mark, et al.. (1991). An Ethnomycological Review of Psychoactive Agarics in Australia and New Zealand. Journal of Psychoactive Drugs. 23(1). 39–69. 20 indexed citations

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.

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