Samuel Gyger

89 total papers · 1.6k total citations
43 papers, 994 citations indexed

About

Samuel Gyger is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Samuel Gyger has authored 43 papers receiving a total of 994 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Atomic and Molecular Physics, and Optics, 22 papers in Electrical and Electronic Engineering and 15 papers in Artificial Intelligence. Recurrent topics in Samuel Gyger's work include Photonic and Optical Devices (16 papers), Quantum Information and Cryptography (15 papers) and Mechanical and Optical Resonators (10 papers). Samuel Gyger is often cited by papers focused on Photonic and Optical Devices (16 papers), Quantum Information and Cryptography (15 papers) and Mechanical and Optical Resonators (10 papers). Samuel Gyger collaborates with scholars based in Sweden, Germany and United States. Samuel Gyger's co-authors include Val Zwiller, Stephan Steinhauer, Ali W. Elshaari, Klaus D. Jöns, Iman Esmaeil Zadeh, Lucas Schweickert, Johannes W. N. Los, Sander N. Dorenbos, Jin Chang and Thomas Lettner and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Samuel Gyger

37 papers receiving 949 citations

Hit Papers

Superconducting nanowire ... 2021 2026 2022 2024 2021 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Samuel Gyger 503 497 299 262 154 43 994
Xiaolong Hu 521 1.0× 638 1.3× 362 1.2× 120 0.5× 226 1.5× 74 1.0k
Sean D. Harrington 661 1.3× 429 0.9× 459 1.5× 148 0.6× 141 0.9× 22 1.0k
S. N. Dorenbos 579 1.2× 579 1.2× 395 1.3× 95 0.4× 178 1.2× 24 969
Simone Ferrari 459 0.9× 495 1.0× 263 0.9× 169 0.6× 133 0.9× 32 933
D. Rosenberg 620 1.2× 409 0.8× 476 1.6× 103 0.4× 72 0.5× 33 994
Jin Chang 299 0.6× 351 0.7× 223 0.7× 101 0.4× 148 1.0× 27 803
Vadim Kovalyuk 373 0.7× 431 0.9× 208 0.7× 172 0.7× 124 0.8× 63 850
Marco Colangelo 464 0.9× 438 0.9× 264 0.9× 86 0.3× 149 1.0× 49 958
A. Divochiy 497 1.0× 358 0.7× 429 1.4× 95 0.4× 112 0.7× 41 865
Andrew D. Beyer 612 1.2× 513 1.0× 361 1.2× 145 0.6× 121 0.8× 72 1.1k

Countries citing papers authored by Samuel Gyger

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Gyger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Gyger

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Gyger. A scholar is included among the top collaborators of Samuel Gyger 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 Samuel Gyger. Samuel Gyger 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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