Manuel Endres

11.6k total citations · 12 hit papers
52 papers, 7.7k citations indexed

About

Manuel Endres is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Condensed Matter Physics. According to data from OpenAlex, Manuel Endres has authored 52 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Atomic and Molecular Physics, and Optics, 21 papers in Artificial Intelligence and 8 papers in Condensed Matter Physics. Recurrent topics in Manuel Endres's work include Cold Atom Physics and Bose-Einstein Condensates (32 papers), Quantum many-body systems (25 papers) and Quantum Information and Cryptography (17 papers). Manuel Endres is often cited by papers focused on Cold Atom Physics and Bose-Einstein Condensates (32 papers), Quantum many-body systems (25 papers) and Quantum Information and Cryptography (17 papers). Manuel Endres collaborates with scholars based in United States, Germany and United Kingdom. Manuel Endres's co-authors include Immanuel Bloch, Marc Cheneau, Stefan Kuhr, Takeshi Fukuhara, Mikhail D. Lukin, Vladan Vuletić, Harry Levine, Markus Greiner, Alexander Keesling and Hannes Bernien and has published in prestigious journals such as Nature, Science and Physical Review Letters.

In The Last Decade

Manuel Endres

51 papers receiving 7.6k citations

Hit Papers

Probing many-body dynamics on a 51-atom quantum ... 2010 2026 2015 2020 2017 2010 2016 2012 2011 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manuel Endres United States 26 7.1k 2.9k 1.4k 1.0k 227 52 7.7k
Ana María Rey United States 49 8.7k 1.2× 2.6k 0.9× 1.7k 1.2× 920 0.9× 153 0.7× 222 9.1k
Philipp Hauke Germany 34 6.2k 0.9× 2.6k 0.9× 1.4k 1.0× 1.2k 1.2× 165 0.7× 104 7.0k
Stefan Kuhr Germany 28 5.6k 0.8× 2.5k 0.9× 940 0.7× 633 0.6× 146 0.6× 53 6.0k
Igor Lesanovsky United Kingdom 46 7.2k 1.0× 2.8k 1.0× 845 0.6× 1.9k 1.8× 232 1.0× 239 7.8k
Juan José García‐Ripoll Spain 42 7.3k 1.0× 4.4k 1.5× 684 0.5× 1.0k 1.0× 193 0.9× 165 7.9k
Luigi Amico Italy 26 5.8k 0.8× 3.3k 1.1× 1.2k 0.8× 1.0k 1.0× 104 0.5× 100 6.2k
Ahmed Omran United States 13 3.8k 0.5× 1.9k 0.7× 776 0.6× 561 0.5× 116 0.5× 27 4.3k
Harry Levine United States 11 3.8k 0.5× 2.2k 0.8× 582 0.4× 519 0.5× 120 0.5× 14 4.3k
Alexander Keesling United States 10 3.8k 0.5× 2.1k 0.7× 582 0.4× 518 0.5× 120 0.5× 13 4.2k
Sarang Gopalakrishnan United States 42 5.1k 0.7× 1.3k 0.5× 1.8k 1.3× 1.8k 1.8× 221 1.0× 145 5.5k

Countries citing papers authored by Manuel Endres

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Endres

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Endres

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Endres. A scholar is included among the top collaborators of Manuel Endres 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 Manuel Endres. Manuel Endres 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.
Shaw, Adam L., et al.. (2025). Erasure cooling, control, and hyperentanglement of motion in optical tweezers. Science. 388(6749). 845–849. 8 indexed citations
2.
Mok, Wai‐Keong, Tobias Haug, Adam L. Shaw, Manuel Endres, & John Preskill. (2025). Optimal Conversion from Classical to Quantum Randomness via Quantum Chaos. Physical Review Letters. 134(18). 180403–180403. 1 indexed citations
3.
Endres, Manuel, et al.. (2025). A tweezer array with 6,100 highly coherent atomic qubits. Nature. 647(8088). 60–67. 7 indexed citations
4.
Sun, X., et al.. (2025). Benchmarking and Fidelity Response Theory of High-Fidelity Rydberg Entangling Gates. PRX Quantum. 6(1). 19 indexed citations breakdown →
5.
Finkelstein, Ran, Xiangkai Sun, Pascal Scholl, et al.. (2024). Universal quantum operations and ancilla-based read-out for tweezer clocks. Nature. 634(8033). 321–327. 30 indexed citations
6.
Shaw, Adam L., Joonhee Choi, Daniel K. Mark, et al.. (2024). Benchmarking highly entangled states on a 60-atom analogue quantum simulator. Nature. 628(8006). 71–77. 25 indexed citations
7.
Shaw, Adam L., Ran Finkelstein, Pascal Scholl, et al.. (2024). Multi-ensemble metrology by programming local rotations with atom movements. Nature Physics. 20(2). 195–201. 29 indexed citations
8.
Scholl, Pascal, et al.. (2023). Erasure conversion in a high-fidelity Rydberg quantum simulator. Nature. 622(7982). 273–278. 81 indexed citations
9.
Rochman, Jake, et al.. (2023). Many-body cavity quantum electrodynamics with driven inhomogeneous emitters. Nature. 617(7960). 271–276. 32 indexed citations
10.
Mark, Daniel K., Joonhee Choi, Adam L. Shaw, Manuel Endres, & Soonwon Choi. (2023). Benchmarking Quantum Simulators Using Ergodic Quantum Dynamics. Physical Review Letters. 131(11). 23 indexed citations
11.
Choi, Joonhee, Adam L. Shaw, Ivaylo S. Madjarov, et al.. (2023). Preparing random states and benchmarking with many-body quantum chaos. Nature. 613(7944). 468–473. 97 indexed citations breakdown →
12.
Shaw, Adam L., et al.. (2023). Dark-State Enhanced Loading of an Optical Tweezer Array. Physical Review Letters. 130(19). 193402–193402. 17 indexed citations
13.
Maskara, Nishad, Michael Buchhold, Manuel Endres, & Evert van Nieuwenburg. (2022). Learning algorithm reflecting universal scaling behavior near phase transitions. Physical Review Research. 4(2). 5 indexed citations
14.
Shaw, Adam L., Joonhee Choi, Ivaylo S. Madjarov, et al.. (2021). Emergent Randomness and Benchmarking from Many-Body Quantum Chaos. Bulletin of the American Physical Society. 6 indexed citations
15.
Slagle, Kevin, David Aasen, Hannes Pichler, et al.. (2021). Microscopic characterization of Ising conformal field theory in Rydberg chains. Physical review. B.. 104(23). 21 indexed citations
16.
Madjarov, Ivaylo S., Jacob P. Covey, Adam L. Shaw, et al.. (2020). Author Correction: High-fidelity entanglement and detection of alkaline-earth Rydberg atoms. Nature Physics. 17(1). 144–144. 2 indexed citations
17.
Madjarov, Ivaylo S., Jacob P. Covey, Adam L. Shaw, et al.. (2020). High-Fidelity Control, Detection, and Entanglement of Alkaline-Earth Rydberg Atoms. CaltechAUTHORS (California Institute of Technology). 1 indexed citations
18.
Omran, Ahmed, Harry Levine, Alexander Keesling, et al.. (2019). Generation and manipulation of Schrödinger cat states in Rydberg atom arrays. Science. 365(6453). 570–574. 412 indexed citations breakdown →
19.
Keesling, Alexander, Ahmed Omran, Harry Levine, et al.. (2018). Probing quantum critical dynamics on a programmable Rydberg simulator. CaltechAUTHORS (California Institute of Technology). 1 indexed citations
20.
Schauß, Peter, Johannes Zeiher, Sebastian Hild, et al.. (2014). Dynamical crystallisation of a low-dimensional Rydberg gas. Bulletin of the American Physical Society. 1 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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