Jonas Landman

521 total citations
7 papers, 132 citations indexed

About

Jonas Landman is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Jonas Landman has authored 7 papers receiving a total of 132 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Computational Theory and Mathematics and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Jonas Landman's work include Quantum Information and Cryptography (6 papers), Quantum Computing Algorithms and Architecture (6 papers) and Quantum-Dot Cellular Automata (3 papers). Jonas Landman is often cited by papers focused on Quantum Information and Cryptography (6 papers), Quantum Computing Algorithms and Architecture (6 papers) and Quantum-Dot Cellular Automata (3 papers). Jonas Landman collaborates with scholars based in France, United Kingdom and Switzerland. Jonas Landman's co-authors include Iordanis Kerenidis, Elham Kashefi, Alex B. Grilo, R. Kukla, Slimane Thabet and Nishant Jain and has published in prestigious journals such as Physical review. A, Quantum and Quantum Science and Technology.

In The Last Decade

Jonas Landman

7 papers receiving 125 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonas Landman France 5 109 37 17 11 8 7 132
Youwei Zhao China 6 97 0.9× 21 0.6× 57 3.4× 8 0.7× 3 0.4× 16 139
J. Lorenz Germany 7 87 0.8× 24 0.6× 7 0.4× 13 1.2× 3 0.4× 28 122
Elijah Pelofske United States 7 88 0.8× 29 0.8× 21 1.2× 15 1.4× 5 0.6× 18 100
Cenk Tüysüz Germany 6 84 0.8× 17 0.5× 26 1.5× 15 1.4× 3 0.4× 11 104
Carsten Blank South Korea 6 72 0.7× 23 0.6× 37 2.2× 8 0.7× 3 0.4× 9 112
Andreas Bärtschi United States 8 101 0.9× 25 0.7× 40 2.4× 15 1.4× 4 0.5× 24 130
Akinori Kawachi Japan 6 93 0.9× 34 0.9× 55 3.2× 6 0.5× 3 0.4× 24 126
Avraham Ben-Aroya Israel 7 72 0.7× 38 1.0× 18 1.1× 25 2.3× 5 0.6× 21 108
Shouvanik Chakrabarti United States 9 167 1.5× 39 1.1× 52 3.1× 12 1.1× 3 0.4× 19 191
Elies Gil-Fuster Germany 5 244 2.2× 43 1.2× 87 5.1× 16 1.5× 3 0.4× 6 272

Countries citing papers authored by Jonas Landman

Since Specialization
Citations

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

Fields of papers citing papers by Jonas Landman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonas Landman

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

All Works

7 of 7 papers shown
1.
Landman, Jonas, et al.. (2025). Subspace preserving quantum convolutional neural network architectures. Quantum Science and Technology. 10(2). 25050–25050. 3 indexed citations
2.
Thabet, Slimane, et al.. (2025). Constrained and Vanishing Expressivity of Quantum Fourier Models. Quantum. 9. 1847–1847. 4 indexed citations
3.
Landman, Jonas, et al.. (2025). Trainability and Expressivity of Hamming-Weight Preserving Quantum Circuits for Machine Learning. Quantum. 9. 1745–1745. 5 indexed citations
4.
Landman, Jonas, et al.. (2024). Quantum Vision Transformers. Quantum. 8. 1265–1265. 33 indexed citations
5.
Jain, Nishant, et al.. (2024). Quantum Fourier networks for solving parametric PDEs. Quantum Science and Technology. 9(3). 35026–35026. 2 indexed citations
6.
Landman, Jonas, et al.. (2022). Quantum Methods for Neural Networks and Application to Medical Image Classification. Quantum. 6. 881–881. 41 indexed citations
7.
Kerenidis, Iordanis & Jonas Landman. (2021). Quantum spectral clustering. Physical review. A. 103(4). 44 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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