Gábor Rétvári

1.7k citations
101 papers · 1.1k · h-index 18

Impact in

Papers in

Gábor Rétvári

94 papers receiving 1.1k citations

Peers

Gábor Rétvári
Comparison fields: 5 of 53
  • Computer Networks and Communications 1.0k
  • Hardware and Architecture 226
  • Electrical and Electronic Engineering 438
  • Information Systems 120
  • Artificial Intelligence 144
Replace Xiaoxiong Zhong with:
Xiaoxiong Zhong China
A. Ferreira France
Yaron Minsky United States
Costas Busch United States
Fabio Checconi United States
Zhiming Zhang China
M. Willebeek-LeMair United States
Yibo Chen China
Roberto Gioiosa United States
Gábor Rétvári relative to Xiaoxiong Zhong China Xiaoxiong Zhong's profile →
Citations per field
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Xiaoxiong Zhong · 1×
Citations per year

Countries citing papers authored by Gábor Rétvári

Since Specialization
Citations

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

Fields of papers citing papers by Gábor Rétvári

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201985
2 202166
3 201464
4 202157
5 201156
6 201653
7 201550
8 201336
9 200930
10 202027
11 200426
12 200725
13 201623
14 201421
15 200720
16 201218
17 201118
18 201217
19 202017
20 201916

About Gábor Rétvári

Gábor Rétvári is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Hardware and Architecture, Artificial Intelligence and Information Systems, having authored 101 papers that have together received 1.1k indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (61 papers), Advanced Optical Network Technologies (37 papers), Network Traffic and Congestion Control (37 papers), Interconnection Networks and Systems (22 papers), Network Packet Processing and Optimization (20 papers), Network Security and Intrusion Detection (14 papers), Caching and Content Delivery (13 papers) and Internet Traffic Analysis and Secure E-voting (7 papers). The work is most often cited by research in Computer Networks and Communications (1.0k citations), Hardware and Architecture (226 citations), Electrical and Electronic Engineering (438 citations), Information Systems (120 citations) and Artificial Intelligence (144 citations). Gábor Rétvári has collaborated with scholars based in Hungary, United Kingdom and Germany. Frequent co-authors include János Tapolcai, Attila Kő̈rösi, Levente Csikor, Tibor Cinkler, József Bı́ró, Stefan Schmid, András Császár, Zalán Heszberger, Roberto Bifulco and Marco Chiesa. Their work appears in journals such as IEEE/ACM Transactions on Networking, IEEE Journal on Selected Areas in Communications, Lecture notes in computer science, Photonic Network Communications and Distributed Computing.

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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