Stavros Efthymiou

21 total papers · 447 total citations
9 papers, 213 citations indexed

About

Stavros Efthymiou is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Stavros Efthymiou has authored 9 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Atomic and Molecular Physics, and Optics, 6 papers in Artificial Intelligence and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Stavros Efthymiou's work include Quantum Computing Algorithms and Architecture (6 papers), Quantum Information and Cryptography (6 papers) and Quantum many-body systems (3 papers). Stavros Efthymiou is often cited by papers focused on Quantum Computing Algorithms and Architecture (6 papers), Quantum Information and Cryptography (6 papers) and Quantum many-body systems (3 papers). Stavros Efthymiou collaborates with scholars based in Switzerland, United Arab Emirates and Italy. Stavros Efthymiou's co-authors include Stefano Carrazza, Roger G. Melko, Diego García-Martín, José I. Latorre, Carlos Bravo-Prieto, Artur García-Sáez, Guglielmo Mazzola, Alexander Wietek, Christian B. Mendl and Kenny Choo and has published in prestigious journals such as Review of Scientific Instruments, Physical review. B. and Quantum.

In The Last Decade

Stavros Efthymiou

9 papers receiving 210 citations

Author Peers

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

Author						Papers	Cites
Stavros Efthymiou	136	132	39	25	20	9	213
Jun Wang	142 1.0×	184 1.4×	49 1.3×	66 2.6×	19 0.9×	17	322
Jing Chen	129 0.9×	181 1.4×	58 1.5×	51 2.0×	14 0.7×	15	283
Michael A. Perlin	88 0.6×	170 1.3×	28 0.7×	15 0.6×	8 0.4×	16	213
Michael Ditty	200 1.5×	203 1.5×	13 0.3×	26 1.0×	29 1.4×	9	295
M. C. Thom	221 1.6×	197 1.5×	32 0.8×	17 0.7×	17 0.8×	6	273
T. Oh	225 1.7×	187 1.4×	39 1.0×	18 0.7×	24 1.2×	5	285
C. J. S. Truncik	180 1.3×	146 1.1×	74 1.9×	12 0.5×	35 1.8×	8	277
Gianluca Passarelli	160 1.2×	155 1.2×	22 0.6×	42 1.7×	21 1.1×	22	245
Zaira Nazario	130 1.0×	141 1.1×	50 1.3×	8 0.3×	15 0.8×	13	269
Y. Joanna Wong	99 0.7×	64 0.5×	96 2.5×	50 2.0×	83 4.2×	6	309

Countries citing papers authored by Stavros Efthymiou

Since Specialization

Citations

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

Fields of papers citing papers by Stavros Efthymiou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stavros Efthymiou

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

All Works

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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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