A. Gábris

1.8k citations
23 papers · 1.2k indexed · 2 hit papers · h-index 10

A. Gábris

22 papers receiving 1.2k citations

Hit Papers

A 2D Quantum Walk Simulation of Two-Particle Dynamics2882010202620152020100200300400

Peers

A. Gábris
Comparison fields: 5 of 26
  • Acoustics and Ultrasonics 37
  • Artificial Intelligence 1.0k
  • Atomic and Molecular Physics, and Optics 694
  • Computational Theory and Mathematics 287
  • Statistical and Nonlinear Physics 105
Replace K. N. Cassemiro with:
K. N. Cassemiro Brazil
Konstantinos Poulios United Kingdom
A. A. Архипов Russia
M. Štefaňák Czechia
P. Milman France
Tyler Volkoff United States
Jaewoo Joo United Kingdom
Geoff Gillett Australia
Eric R. Anschuetz United States
Guilherme B. Xavier Chile
A. Gábris relative to K. N. Cassemiro Brazil K. N. Cassemiro's profile →
Citations per field
00.5×
K. N. Cassemiro · 1×
Citations per year

Countries citing papers authored by A. Gábris

Since Specialization
Citations

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

Fields of papers citing papers by A. Gábris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside A. Gábris, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with A. Gábris Line = papers co-authored together A. Gábris links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20231
3 20221
4 20209
5 201831
6
A photonic quantum walk with a four-dimensional coin
20181
7 20140
8
A 2D Quantum Walk Simulation of Two-Particle Dynamicsbreakdown →
2012288
9 201116
10 2011264
11 20111
12
Photons Walking the Line: A Quantum Walk with Adjustable Coin Operationsbreakdown →
2010405
13
Photons Walking the Line
20096
14 200975
15 200715
16 200525
17 20047
18 200112
19 20013
20 20018

About A. Gábris

A. Gábris is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Condensed Matter Physics, Computational Theory and Mathematics and Electronic, Optical and Magnetic Materials, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (17 papers), Quantum Computing Algorithms and Architecture (15 papers), Quantum Mechanics and Applications (9 papers), Neural Networks and Reservoir Computing (7 papers), Quantum and electron transport phenomena (3 papers), Optical Network Technologies (2 papers), Quantum optics and atomic interactions (2 papers) and Modular Robots and Swarm Intelligence (1 paper). The work is most often cited by research in Acoustics and Ultrasonics (37 citations), Artificial Intelligence (1.0k citations), Atomic and Molecular Physics, and Optics (694 citations), Computational Theory and Mathematics (287 citations) and Statistical and Nonlinear Physics (105 citations). A. Gábris has collaborated with scholars based in Hungary, Czechia and Germany. Frequent co-authors include Igor Jex, Václav Potoček, Christine Silberhorn, Andreas Schreiber, K. N. Cassemiro, Peter J. Mosley, Erika Andersson, M. Štefaňák, Peter P. Rohde and Kaisa Laiho. Their work appears in journals such as Physical Review A, Physical Review Letters, Journal of Optics B Quantum and Semiclassical Optics, Fortschritte der Physik and Physical Review Applied.

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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