Mario Krenn

7.9k total citations · 11 hit papers
83 papers, 4.7k citations indexed

About

Mario Krenn is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Mario Krenn has authored 83 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Artificial Intelligence, 44 papers in Atomic and Molecular Physics, and Optics and 7 papers in Computational Theory and Mathematics. Recurrent topics in Mario Krenn's work include Quantum Information and Cryptography (49 papers), Quantum Computing Algorithms and Architecture (27 papers) and Quantum Mechanics and Applications (27 papers). Mario Krenn is often cited by papers focused on Quantum Information and Cryptography (49 papers), Quantum Computing Algorithms and Architecture (27 papers) and Quantum Mechanics and Applications (27 papers). Mario Krenn collaborates with scholars based in Austria, Canada and Germany. Mario Krenn's co-authors include Anton Zeilinger, Robert Fickler, Alán Aspuru‐Guzik, Radek Łapkiewicz, Manuel Erhard, Sven Ramelow, AkshatKumar Nigam, William N. Plick, Mehul Malik and Pascal Friederich and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Mario Krenn

73 papers receiving 4.5k citations

Hit Papers

Quantum Entanglement of High Angular Momenta 2012 2026 2016 2021 2012 2020 2021 2016 2019 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Quantum Entanglement of High Angular Momenta
    2012 622 citations Robert Fickler, Radek Łapkiewicz et al. profile →
  2. Self-referencing embedded strings (SELFIES): A 100% robust molecular string representation
    2020 429 citations Mario Krenn, Florian Häse et al. profile →
  3. Data-Driven Strategies for Accelerated Materials Design
    2021 299 citations Robert Pollice, Mario Krenn et al. profile →
  4. Twisted light transmission over 143 km
    2016 290 citations Mario Krenn, Johannes Handsteiner et al. Proceedings of the National Academy of Sciences profile →
  5. Quantum Teleportation in High Dimensions
    2019 257 citations Yi-Han Luo, Han-Sen Zhong et al. Physical Review Letters profile →
  6. Multi-photon entanglement in high dimensions
    2016 246 citations Mehul Malik, Manuel Erhard et al. Nature Photonics profile →
  7. Generation and confirmation of a (100 × 100)-dimensional entangled quantum system
    2014 219 citations Mario Krenn, Marcus Huber et al. Proceedings of the National Academy of Sciences profile →
  8. On scientific understanding with artificial intelligence
    2022 186 citations Mario Krenn, Robert Pollice et al. profile →
  9. Active learning machine learns to create new quantum experiments
    2018 177 citations Mario Krenn, Anton Zeilinger et al. Proceedings of the National Academy of Sciences profile →
  10. Automated Search for new Quantum Experiments
    2016 153 citations Mario Krenn, Mehul Malik et al. Physical Review Letters profile →
  11. High-Dimensional Single-Photon Quantum Gates: Concepts and Experiments
    2017 152 citations Manuel Erhard, Mehul Malik et al. Physical Review Letters profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario Krenn Austria 32 2.7k 2.3k 783 770 693 83 4.7k
Zhiliang Yuan United Kingdom 45 4.7k 1.8× 4.2k 1.8× 2.2k 2.8× 768 1.0× 343 0.5× 158 6.9k
Peter L. McMahon United States 27 1.6k 0.6× 2.7k 1.2× 1.6k 2.0× 247 0.3× 141 0.2× 65 4.6k
M. R. James Australia 45 2.2k 0.8× 2.7k 1.2× 1.2k 1.5× 964 1.3× 458 0.7× 354 8.4k
Giuseppe Carleo Switzerland 30 3.1k 1.2× 2.1k 0.9× 312 0.4× 893 1.2× 138 0.2× 68 5.4k
Maria Schuld South Africa 20 1.5k 0.6× 4.3k 1.9× 700 0.9× 520 0.7× 148 0.2× 38 6.0k
Xiongfeng Ma China 44 7.1k 2.7× 7.8k 3.4× 830 1.1× 575 0.7× 160 0.2× 156 9.1k
Patrick Rebentrost United States 23 3.3k 1.2× 5.6k 2.4× 703 0.9× 413 0.5× 134 0.2× 45 7.5k
Xi Chen China 48 5.6k 2.1× 3.7k 1.6× 2.2k 2.8× 1.3k 1.7× 769 1.1× 307 8.7k
Simon C. Benjamin United Kingdom 40 4.2k 1.6× 5.1k 2.2× 686 0.9× 580 0.8× 106 0.2× 121 6.8k
Xiaoqi Zhou China 26 3.5k 1.3× 5.0k 2.2× 1.1k 1.4× 199 0.3× 177 0.3× 89 6.0k

Countries citing papers authored by Mario Krenn

Since Specialization
Citations

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

Fields of papers citing papers by Mario Krenn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Krenn

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Krenn. A scholar is included among the top collaborators of Mario Krenn 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 Mario Krenn. Mario Krenn 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
1.
Gu, Xuemei, et al.. (2025). Tutorial: Hong–Ou–Mandel interference with structured photons. PubMed. 14(23). 4163–4175.
2.
Krenn, Mario, et al.. (2025). Violation of Bell inequality with unentangled photons. Science Advances. 11(31). eadr1794–eadr1794.
3.
Gu, Xuemei, et al.. (2025). Discovering emergent connections in quantum physics research via dynamic word embeddings. Machine Learning Science and Technology. 6(1). 15029–15029. 1 indexed citations
4.
Gu, Xuemei & Mario Krenn. (2025). Forecasting high-impact research topics via machine learning on evolving knowledge graphs. Machine Learning Science and Technology. 6(2). 25041–25041. 1 indexed citations
5.
Bouchard, Frédéric, et al.. (2025). Predicting atmospheric turbulence for secure quantum communications in free space. Optics Express. 33(5). 10759–10759. 3 indexed citations
6.
Möckl, Leonhard, et al.. (2024). Automated discovery of experimental designs in super-resolution microscopy with XLuminA. Nature Communications. 15(1). 10658–10658. 4 indexed citations
7.
Karimi, Ebrahim, et al.. (2024). Deep quantum graph dreaming: deciphering neural network insights into quantum experiments. Machine Learning Science and Technology. 5(1). 15029–15029. 2 indexed citations
8.
Krenn, Mario, Lorenzo Buffoni, Bruno Coutinho, et al.. (2023). Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network. Nature Machine Intelligence. 5(11). 1326–1335. 36 indexed citations
9.
Krenn, Mario, et al.. (2023). Multiphoton non-local quantum interference controlled by an undetected photon. Nature Communications. 14(1). 1480–1480. 13 indexed citations
10.
Pollice, Robert, et al.. (2023). Recent advances in the self-referencing embedded strings (SELFIES) library. Digital Discovery. 2(4). 897–908. 12 indexed citations
11.
Petermann, J., et al.. (2023). Digital Discovery of 100 diverse Quantum Experiments with PyTheus. Quantum. 7. 1204–1204. 14 indexed citations
12.
Gu, Xuemei & Mario Krenn. (2022). Phase anomaly brings quantum implications. Nature Photonics. 16(12). 815–817.
13.
Nigam, AkshatKumar, Pascal Friederich, Mario Krenn, & Alán Aspuru‐Guzik. (2020). Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space. International Conference on Learning Representations. 10 indexed citations
14.
Gu, Xuemei & Mario Krenn. (2020). Compact Greenberger—Horne—Zeilinger state generation via frequency combs and graph theory. Frontiers of Physics. 15(6). 1 indexed citations
15.
Krenn, Mario. (2020). Physics Insights from Neural Networks. Physics. 13. 1 indexed citations
16.
Krenn, Mario, Florian Häse, AkshatKumar Nigam, Pascal Friederich, & Alán Aspuru‐Guzik. (2019). SELFIES: a robust representation of semantically constrained graphs with an example application in chemistry.. arXiv (Cornell University). 27 indexed citations
17.
Luo, Yi-Han, Han-Sen Zhong, Manuel Erhard, et al.. (2019). Quantum Teleportation in High Dimensions. Physical Review Letters. 123(7). 70505–70505. 257 indexed citations breakdown →
18.
Krenn, Mario, Johannes Handsteiner, Matthias Fink, et al.. (2016). Twisted light transmission over 143 km. Proceedings of the National Academy of Sciences. 113(48). 13648–13653. 290 indexed citations breakdown →
19.
Krenn, Mario, Marcus Huber, Robert Fickler, et al.. (2013). Studies of Quantum Entanglement in 100 Dimensions. arXiv (Cornell University). 1 indexed citations
20.
Krenn, Mario, Robert Fickler, William N. Plick, et al.. (2012). Entanglement of Ince-Gauss Modes of Photons. Bulletin of the American Physical Society. 2012.

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Zhiliang Yuan Breakdown of academic impact, for papers by Peter L. McMahon Breakdown of academic impact, for papers by M. R. James Breakdown of academic impact, for papers by Giuseppe Carleo Breakdown of academic impact, for papers by Maria Schuld Breakdown of academic impact, for papers by Xiongfeng Ma Breakdown of academic impact, for papers by Patrick Rebentrost Breakdown of academic impact, for papers by Xi Chen Breakdown of academic impact, for papers by Simon C. Benjamin Breakdown of academic impact, for papers by Xiaoqi Zhou
Rankless by CCL
2026