Shai Machnes

736 total citations
12 papers, 465 citations indexed

About

Shai Machnes is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Shai Machnes has authored 12 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Atomic and Molecular Physics, and Optics, 6 papers in Artificial Intelligence and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Shai Machnes's work include Quantum Information and Cryptography (6 papers), Advanced Thermodynamics and Statistical Mechanics (3 papers) and Quantum chaos and dynamical systems (3 papers). Shai Machnes is often cited by papers focused on Quantum Information and Cryptography (6 papers), Advanced Thermodynamics and Statistical Mechanics (3 papers) and Quantum chaos and dynamical systems (3 papers). Shai Machnes collaborates with scholars based in Israel, Germany and United Kingdom. Shai Machnes's co-authors include Elie Assémat, Frank K. Wilhelm, David J. Tannor, Thomas Schulte‐Herbrüggen, S. G. Schirmer, Steffen J. Glaser, Audrūnas Gruslys, Martin B. Plenio, Alex Retzker and Javier Cerrillo and has published in prestigious journals such as Physical Review Letters, Physical Review A and The Journal of Physical Chemistry A.

In The Last Decade

Shai Machnes

11 papers receiving 452 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shai Machnes Israel 7 380 323 65 59 36 12 465
Elie Assémat France 10 267 0.7× 189 0.6× 83 1.3× 61 1.0× 53 1.5× 19 363
Leigh Norris United States 10 369 1.0× 338 1.0× 32 0.5× 39 0.7× 19 0.5× 13 436
Guanru Feng China 13 561 1.5× 575 1.8× 50 0.8× 38 0.6× 37 1.0× 24 700
Jaw Shen Tsai Japan 2 477 1.3× 380 1.2× 48 0.7× 26 0.4× 24 0.7× 4 541
Jonas Söderholm Sweden 13 511 1.3× 454 1.4× 45 0.7× 40 0.7× 19 0.5× 29 554
Boyan T. Torosov Bulgaria 17 780 2.1× 457 1.4× 70 1.1× 84 1.4× 52 1.4× 32 813
Ran Finkelstein Israel 12 463 1.2× 287 0.9× 55 0.8× 32 0.5× 13 0.4× 19 532
Giuseppe Castagnoli Italy 9 846 2.2× 748 2.3× 50 0.8× 81 1.4× 36 1.0× 31 941
Hans-Rudolf Jauslin France 9 247 0.7× 126 0.4× 60 0.9× 40 0.7× 12 0.3× 13 302
Jair Botina United States 8 433 1.1× 136 0.4× 20 0.3× 112 1.9× 81 2.3× 15 497

Countries citing papers authored by Shai Machnes

Since Specialization
Citations

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

Fields of papers citing papers by Shai Machnes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shai Machnes

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

All Works

12 of 12 papers shown
2.
Machnes, Shai, Elie Assémat, David J. Tannor, & Frank K. Wilhelm. (2018). Tunable, Flexible, and Efficient Optimization of Control Pulses for Practical Qubits. Physical Review Letters. 120(15). 150401–150401. 106 indexed citations
3.
Assémat, Elie, et al.. (2018). Optimized cross-resonance gate for coupled transmon systems. Physical review. A. 97(4). 35 indexed citations
4.
Machnes, Shai, et al.. (2016). Gradient Optimization for Analytic conTrols - GOAT. Bulletin of the American Physical Society. 2016. 1 indexed citations
5.
Machnes, Shai, Elie Assémat, Henrik R. Larsson, & David J. Tannor. (2016). Quantum Dynamics in Phase Space using Projected von Neumann Bases. The Journal of Physical Chemistry A. 120(19). 3296–3308. 9 indexed citations
6.
Machnes, Shai, Javier Cerrillo, Markus Aspelmeyer, et al.. (2012). Pulsed Laser Cooling for Cavity Optomechanical Resonators. Physical Review Letters. 108(15). 153601–153601. 87 indexed citations
7.
Machnes, Shai, et al.. (2012). Continuous input nonlocal games. Natural Computing. 12(1). 5–8. 2 indexed citations
8.
Machnes, Shai, et al.. (2011). Comparing, optimizing, and benchmarking quantum-control algorithms in a unifying programming framework. Physical Review A. 84(2). 172 indexed citations
9.
Silman, Jonathan, et al.. (2011). Study of a self-adjoint operator indicating the direction of time within standard quantum mechanics. Comptes Rendus Mathématique. 349(19-20). 1117–1122. 4 indexed citations
10.
Silman, Jonathan, et al.. (2011). Transition Decomposition of Quantum Mechanical Evolution. International Journal of Theoretical Physics. 50(7). 2179–2190. 1 indexed citations
11.
Machnes, Shai, Martin B. Plenio, Benni Reznik, Andrew Steane, & Alex Retzker. (2010). Superfast Laser Cooling. Physical Review Letters. 104(18). 183001–183001. 29 indexed citations
12.
Silman, Jonathan, et al.. (2008). On the relation between Bell's inequalities and nonlocal games. Physics Letters A. 372(21). 3796–3800. 19 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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