Maximilian Russ

2.8k total citations · 3 hit papers
32 papers, 1.7k citations indexed

About

Maximilian Russ is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Maximilian Russ has authored 32 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Atomic and Molecular Physics, and Optics, 18 papers in Artificial Intelligence and 16 papers in Electrical and Electronic Engineering. Recurrent topics in Maximilian Russ's work include Quantum and electron transport phenomena (29 papers), Advancements in Semiconductor Devices and Circuit Design (14 papers) and Quantum Computing Algorithms and Architecture (13 papers). Maximilian Russ is often cited by papers focused on Quantum and electron transport phenomena (29 papers), Advancements in Semiconductor Devices and Circuit Design (14 papers) and Quantum Computing Algorithms and Architecture (13 papers). Maximilian Russ collaborates with scholars based in Netherlands, Germany and United States. Maximilian Russ's co-authors include Guido Burkard, Lieven M. K. Vandersypen, Giordano Scappucci, Amir Sammak, J. R. Petta, Menno Veldhorst, William I. L. Lawrie, Jacob M. Taylor, A. J. Sigillito and D. M. Zajac and has published in prestigious journals such as Nature, Science and Physical Review Letters.

In The Last Decade

Maximilian Russ

28 papers receiving 1.7k citations

Hit Papers

Resonantly driven CNOT ga... 2017 2026 2020 2023 2017 2022 2022 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Maximilian Russ 1.5k 927 790 127 108 32 1.7k
J. C. C. Hwang 1.6k 1.1× 822 0.9× 994 1.3× 131 1.0× 92 0.9× 17 1.8k
Stephan G. J. Philips 865 0.6× 483 0.5× 542 0.7× 92 0.7× 69 0.6× 10 1.0k
Jun Yoneda 1.3k 0.9× 606 0.7× 762 1.0× 107 0.8× 73 0.7× 44 1.4k
D. M. Zajac 1.1k 0.8× 658 0.7× 554 0.7× 83 0.7× 49 0.5× 12 1.2k
Erika Kawakami 935 0.6× 451 0.5× 578 0.7× 83 0.7× 43 0.4× 16 1.1k
Thomas F. Watson 1000 0.7× 492 0.5× 673 0.9× 120 0.9× 64 0.6× 27 1.2k
André Saraiva 1.1k 0.8× 408 0.4× 741 0.9× 179 1.4× 37 0.3× 64 1.3k
Nodar Samkharadze 995 0.7× 514 0.6× 420 0.5× 105 0.8× 56 0.5× 18 1.1k
Matthieu R. Delbecq 1.3k 0.9× 649 0.7× 601 0.8× 115 0.9× 54 0.5× 29 1.4k
Pasquale Scarlino 1.7k 1.1× 931 1.0× 743 0.9× 116 0.9× 57 0.5× 39 1.9k

Countries citing papers authored by Maximilian Russ

Since Specialization
Citations

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

Fields of papers citing papers by Maximilian Russ

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maximilian Russ

This figure shows the co-authorship network connecting the top 25 collaborators of Maximilian Russ. A scholar is included among the top collaborators of Maximilian Russ 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 Maximilian Russ. Maximilian Russ 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.
Russ, Maximilian, et al.. (2025). Transformer models for quantum gate set tomography. Quantum Machine Intelligence. 7(1).
2.
Russ, Maximilian, et al.. (2025). Quantum geometric protocols for fast high-fidelity adiabatic state transfer. EPJ Quantum Technology. 12(1).
3.
Kukučka, Josip, Daniel Chrastina, Giovanni Isella, et al.. (2025). Exchange anisotropies in microwave-driven singlet-triplet qubits. Nature Communications. 16(1). 3862–3862. 5 indexed citations
4.
Oosterhout, Stefan D., Giordano Scappucci, Maximilian Russ, et al.. (2025). Robust and localised control of a 10-spin qubit array in germanium. Nature Communications. 16(1). 10560–10560. 1 indexed citations
5.
Martí‐Sánchez, Sara, et al.. (2025). Engineering Ge Profiles in Si/SiGe Heterostructures for Increased Valley Splitting. Nano Letters. 25(34). 12892–12898.
6.
Riggelen, F. van, Chien-An Wang, Sander L. de Snoo, et al.. (2024). Coherent spin qubit shuttling through germanium quantum dots. Nature Communications. 15(1). 5716–5716. 26 indexed citations
7.
Wang, Chien-An, et al.. (2024). Modeling of planar germanium hole qubits in electric and magnetic fields. npj Quantum Information. 10(1). 102–102. 3 indexed citations
8.
Xue, Xiao, Maximilian Russ, Sander L. de Snoo, et al.. (2024). Cavity-mediated iSWAP oscillations between distant spins. Nature Physics. 21(1). 168–174. 18 indexed citations
9.
Zhang, Xin, Maximilian Russ, Tzu-Kan Hsiao, et al.. (2024). Universal control of four singlet–triplet qubits. Nature Nanotechnology. 20(2). 209–215. 28 indexed citations
10.
Amitonov, Sergey V., Sander L. de Snoo, Mateusz Mądzik, et al.. (2023). Shuttling an Electron Spin through a Silicon Quantum Dot Array. PRX Quantum. 4(3). 33 indexed citations
11.
Undseth, Brennan, Xiao Xue, Maximilian Russ, et al.. (2023). Nonlinear Response and Crosstalk of Electrically Driven Silicon Spin Qubits. Physical Review Applied. 19(4). 21 indexed citations
12.
Wuetz, Brian Paquelet, Sergey V. Amitonov, Marc Botifoll, et al.. (2023). Reducing charge noise in quantum dots by using thin silicon quantum wells. Nature Communications. 14(1). 1385–1385. 46 indexed citations
13.
Russ, Maximilian, Stephan G. J. Philips, Xiao Xue, & Lieven M. K. Vandersypen. (2023). Simple framework for systematic high-fidelity gate operations. Quantum Science and Technology. 8(4). 45025–45025. 15 indexed citations
14.
Lawrie, William I. L., Maximilian Russ, F. van Riggelen, et al.. (2023). Simultaneous single-qubit driving of semiconductor spin qubits at the fault-tolerant threshold. Nature Communications. 14(1). 3617–3617. 48 indexed citations
15.
Philips, Stephan G. J., Mateusz Mądzik, Sergey V. Amitonov, et al.. (2022). Universal control of a six-qubit quantum processor in silicon. Nature. 609(7929). 919–924. 254 indexed citations breakdown →
16.
Russ, Maximilian, Stephan G. J. Philips, & Lieven M. K. Vandersypen. (2021). The path to high fidelity multi-qubit gates for quantum dot spin qubits. Bulletin of the American Physical Society. 1 indexed citations
17.
Petit, Luca, H. G. J. Eenink, Maximilian Russ, et al.. (2020). Universal quantum logic in hot silicon qubits. Nature. 580(7803). 355–359. 213 indexed citations
18.
Russ, Maximilian, J. R. Petta, & Guido Burkard. (2018). Quadrupolar Exchange-Only Spin Qubit. Physical Review Letters. 121(17). 177701–177701. 24 indexed citations
19.
Zajac, D. M., A. J. Sigillito, Maximilian Russ, et al.. (2017). Resonantly driven CNOT gate for electron spins. Science. 359(6374). 439–442. 337 indexed citations breakdown →
20.
Russ, Maximilian, et al.. (2014). Hybrid Spin and Valley Quantum Computing with Singlet-Triplet Qubits. Physical Review Letters. 113(17). 176801–176801. 25 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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