Shai Machnes

16 papers and 735 indexed citations i.

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 16 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Atomic and Molecular Physics, and Optics, 10 papers in Artificial Intelligence and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Shai Machnes’s work include Quantum Information and Cryptography (10 papers), Quantum Computing Algorithms and Architecture (6 papers) and Quantum and electron transport phenomena (5 papers). Shai Machnes is often cited by papers focused on Quantum Information and Cryptography (10 papers), Quantum Computing Algorithms and Architecture (6 papers) and Quantum and electron transport phenomena (5 papers). Shai Machnes collaborates with scholars based in Germany, Israel and United Kingdom. Shai Machnes's co-authors include Frank K. Wilhelm, Elie Assémat, David J. Tannor, Steffen J. Glaser, Audrūnas Gruslys, Thomas Schulte‐Herbrüggen, S. G. Schirmer, Stefan Filipp, Daniel J. Egger and Martin B. Plenio 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

Co-authorship network of co-authors of Shai Machnes i

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.

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).

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

Rankless by CCL
2025