Róbert Mingesz

659 citations
43 papers · 367 · h-index 10

Impact in

Papers in

Róbert Mingesz

38 papers receiving 344 citations

Peers

Róbert Mingesz
Comparison fields: 5 of 62
  • Computer Networks and Communications 189
  • Cognitive Neuroscience 65
  • Developmental and Educational Psychology 40
  • Computational Mechanics 59
  • Media Technology 20
Replace A.J. Payne with:
A.J. Payne United Kingdom
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Citations per year

Countries citing papers authored by Róbert Mingesz

Since Specialization
Citations

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

Fields of papers citing papers by Róbert Mingesz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Róbert Mingesz, 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 Róbert Mingesz Line = papers co-authored together Róbert Mingesz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201075
2 200756
3 201329
4 201525
5 201423
6 201321
7 201617
8 201411
9 201911
10 201811
11 20146
12 20136
13 20196
14 20106
15 20085
16 20125
17 20155
18
Johnson(-like)-Noise-Kirchhoff-Loop Based Secure Classical Communicator Demonstrated for Ranges of Two Kilometers to Two Thousand Kilometers
20064
19 20044
20 20104

About Róbert Mingesz

Róbert Mingesz is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Electrical and Electronic Engineering, Biomedical Engineering and Atomic and Molecular Physics, and Optics, having authored 43 papers that have together received 367 indexed citations. Recurring topics across this work include Advanced Statistical Modeling Techniques (12 papers), Experimental and Theoretical Physics Studies (7 papers), Mechanical and Optical Resonators (6 papers), Experimental Learning in Engineering (5 papers), stochastic dynamics and bifurcation (5 papers), Advanced Chemical Sensor Technologies (4 papers), Nonlinear Dynamics and Pattern Formation (4 papers) and Gas Sensing Nanomaterials and Sensors (4 papers). The work is most often cited by research in Computer Networks and Communications (189 citations), Cognitive Neuroscience (65 citations), Developmental and Educational Psychology (40 citations), Computational Mechanics (59 citations) and Media Technology (20 citations). Róbert Mingesz has collaborated with scholars based in Hungary, United States and Sweden. Frequent co-authors include Zoltán Gingl, László B. Kish, Ágnes Vetró, Karolina Janacsek, Zsuzsa Londe, Dezső Németh, Claes G. Granqvist, Ferdinand Peper, Gabor Schmera and C. G. Granqvist. Their work appears in journals such as IEEE Access, PLoS ONE, Scientific Reports, Laser Physics and Journal of Computational Electronics.

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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