J. Lorenz

5.6k total citations
28 papers, 122 citations indexed

About

J. Lorenz is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, J. Lorenz has authored 28 papers receiving a total of 122 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 5 papers in Electrical and Electronic Engineering and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in J. Lorenz's work include Quantum Computing Algorithms and Architecture (17 papers), Quantum Information and Cryptography (10 papers) and Particle Detector Development and Performance (4 papers). J. Lorenz is often cited by papers focused on Quantum Computing Algorithms and Architecture (17 papers), Quantum Information and Cryptography (10 papers) and Particle Detector Development and Performance (4 papers). J. Lorenz collaborates with scholars based in Germany, United States and Switzerland. J. Lorenz's co-authors include Balthasar Schachtner, Christian B. Mendl, A. Matic, M. A. Baak, A. Koutsman, G. J. Besjes, D. Côté, Robert Wille, Hans Ehm and Stephan Günnemann and has published in prestigious journals such as Physical review. A, Modern Physics Letters A and Journal of Physics Conference Series.

In The Last Decade

J. Lorenz

21 papers receiving 112 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. Lorenz Germany	7	87	24	18	13	9	28	122
Javier Orduz United States	7	51 0.6×	9 0.4×	39 2.2×	10 0.8×	6 0.7×	15	102
Jonas Landman France	5	109 1.3×	37 1.5×	3 0.2×	11 0.8×	4 0.4×	7	132
Panagiotis Spentzouris United States	3	54 0.6×	8 0.3×	27 1.5×	6 0.5×	4 0.4×	10	82
G. Cortiana Germany	5	31 0.4×	10 0.4×	13 0.7×	16 1.2×	2 0.2×	20	65
R. Di Sipio Italy	3	63 0.7×	4 0.2×	14 0.8×	12 0.9×	3 0.3×	4	87
R. Divià Switzerland	6	23 0.3×	13 0.5×	34 1.9×	6 0.5×	9 1.0×	25	80
Christopher J. Miller United States	5	42 0.5×	9 0.4×	13 0.7×	11 0.8×	1 0.1×	8	109
P. Albicocco Italy	6	16 0.2×	16 0.7×	40 2.2×	47 3.6×	17 1.9×	15	103
Shouvanik Chakrabarti United States	9	167 1.9×	39 1.6×	2 0.1×	12 0.9×	11 1.2×	19	191
Deborah Bard United States	6	30 0.3×	5 0.2×	7 0.4×	12 0.9×	14 1.6×	11	135

Countries citing papers authored by J. Lorenz

Since Specialization

Citations

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

Fields of papers citing papers by J. Lorenz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Lorenz

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

All Works

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20 of 20 papers shown

Schwabe, Mierk, Inés de Vega, Pierre Gentine, et al.. (2025). Opportunities and challenges of quantum computing for climate modeling. elib (German Aerospace Center). 4.

Roßkopf, Andreas, et al.. (2025). Benchmarking Quantum Reinforcement Learning. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 773–782.

Krauser, J., et al.. (2025). Quantum Multi-Agent Reinforcement Learning for Aerial Ad-Hoc Networks. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 731–741.

Lorenz, J., et al.. (2024). A hyperparameter study for quantum kernel methods. Quantum Machine Intelligence. 6(2). 8 indexed citations

Wille, Robert, et al.. (2024). Variational Quantum Circuit Design for Quantum Reinforcement Learning on Continuous Environments. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 393–400. 3 indexed citations

Lorenz, J., et al.. (2024). Discrete Randomized Smoothing Meets Quantum Computing. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1535–1546. 1 indexed citations

Lorenz, J., et al.. (2024). Predominant Aspects on Security for Quantum Machine Learning: Literature Review. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1467–1477. 4 indexed citations

Lorenz, J., et al.. (2024). Quantum neural networks under depolarization noise: exploring white-box attacks and defenses. Quantum Machine Intelligence. 6(2). 1 indexed citations

Lorenz, J., et al.. (2024). Certifiably Robust Encoding Schemes. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1571–1582. 1 indexed citations

10.

Ehm, Hans, et al.. (2024). Efficient Encodings of the Travelling Salesperson Problem for Variational Quantum Algorithms. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 81–87. 4 indexed citations

11.

Roßkopf, Andreas, et al.. (2024). Hamiltonian-Based Quantum Reinforcement Learning for Neural Combinatorial Optimization. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1617–1627.

12.

Lorenz, J., et al.. (2024). Hybrid Meta-Solving for Practical Quantum Computing. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 421–431. 1 indexed citations

13.

Lorenz, J., et al.. (2024). Identifying Bottlenecks of NISQ-Friendly HHL Algorithms. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 275–284. 1 indexed citations

14.

Schachtner, Balthasar, et al.. (2024). Understanding the Effects of Data Encoding on Quantum-Classical Convolutional Neural Networks. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1436–1446. 1 indexed citations

15.

Hagiwara, Yuki, et al.. (2024). AI-Driven Approaches for Glaucoma Detection -- A Comprehensive Review. arXiv (Cornell University).

16.

Ehm, Hans, et al.. (2023). Quantum-Assisted Solution Paths for the Capacitated Vehicle Routing Problem. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 648–658. 14 indexed citations

17.

Mendl, Christian B., et al.. (2023). Benchmarking the Variational Quantum Eigensolver using different quantum hardware. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 518–523. 5 indexed citations

18.

Matic, A., et al.. (2022). Quantum-classical convolutional neural networks in radiological image classification. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 56–66. 22 indexed citations

19.

Besjes, G. J., M. A. Baak, D. Côté, et al.. (2015). HistFitter: a flexible framework for statistical data analysis. Journal of Physics Conference Series. 664(7). 72004–72004.

20.

Baak, M. A., G. J. Besjes, D. Côté, A. Koutsman, & J. Lorenz. (2014). HistFitter software framework for statistical data analysis. 15 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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