András Gilyén

1.1k total citations
14 papers, 164 citations indexed

About

András Gilyén is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, András Gilyén has authored 14 papers receiving a total of 164 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 4 papers in Atomic and Molecular Physics, and Optics and 4 papers in Computational Theory and Mathematics. Recurrent topics in András Gilyén's work include Quantum Computing Algorithms and Architecture (13 papers), Quantum Information and Cryptography (9 papers) and Stochastic Gradient Optimization Techniques (3 papers). András Gilyén is often cited by papers focused on Quantum Computing Algorithms and Architecture (13 papers), Quantum Information and Cryptography (9 papers) and Stochastic Gradient Optimization Techniques (3 papers). András Gilyén collaborates with scholars based in United States, Hungary and Denmark. András Gilyén's co-authors include Ewin Tang, Seth Lloyd, Mark M. Wilde, Zhao Song, Yihui Quek, Iman Marvian, Sander Gribling, Ronald de Wolf, Nathan Wiebe and Tongyang Li and has published in prestigious journals such as Nature, Physical Review Letters and Journal of the ACM.

In The Last Decade

András Gilyén

12 papers receiving 160 citations

Peers

András Gilyén
Comparison fields: 5 of 28
  • Artificial Intelligence 146
  • Atomic and Molecular Physics, and Optics 57
  • Computational Theory and Mathematics 41
  • Statistical and Nonlinear Physics 14
  • Electrical and Electronic Engineering 10
Replace Ewin Tang with:
Ewin Tang United States
Bobak T. Kiani United States
Sam Pallister United Kingdom
Leo Zhou United States
Carsten Blank South Korea
Frédéric Sauvage United States
Julien Gacon Switzerland
Meisheng Zhao China
Kristen L. Pudenz United States
Aniruddha Bapat United States
Ewin Tang United States View profile →
Citations per field, relative to András Gilyén
András Gilyén · 1×
Citations per year, relative to András Gilyén
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Countries citing papers authored by András Gilyén

Since Specialization
Citations

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

Fields of papers citing papers by András Gilyén

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of András Gilyén

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

All Works

14 of 14 papers shown
# Work Indexed citations
1 0
2 15
3 1
4 0
5 2
6 15
7 25
8 39
9 9
10 7
11
Distributional property testing in a quantum world
5
12 15
13
Quantum Singular Value Transformation & Its Algorithmic Applications
5
14 26

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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