József Stéger

543 citations
20 papers · 187 indexed · h-index 9
Topics
Network Traffic and Congestion Control (5 papers)Peer-to-Peer Network Technologies (4 papers)Complex Network Analysis Techniques (4 papers)
Partner nations
HungaryNetherlandsGreece

In The Last Decade

József Stéger

19 papers receiving 179 citations

Peers

József Stéger
Comparison fields: 5 of 55
  • Computer Networks and Communications 98
  • Information Systems 53
  • Artificial Intelligence 27
  • Electrical and Electronic Engineering 22
  • Statistical and Nonlinear Physics 18
Replace Davide Frey with:
Davide Frey France
Xunxun Chen China
H. Lu China
Wasiur R. KhudaBukhsh United Kingdom
Suoyi Tan China
Javier Bermejo Higuera Spain
Guillaume Müller France
Claudio Squarcella Italy
Valerio La Gatta Italy
Juan Ramón Bermejo Higuera Spain
József Stéger relative to Davide Frey France Davide Frey's profile →
Citations per field
00.5×1.5×2.4×
Davide Frey · 1×
Citations per year

Countries citing papers authored by József Stéger

Since Specialization
Citations

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

Fields of papers citing papers by József Stéger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of József Stéger

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 12
2 0
3 10
4 5
5 12
6 2
7 30
8 7
9 3
10 13
11 18
12 6
13 1
14 4
15 11
16 2
17 7
18 11
19 26
20 7

About József Stéger

József Stéger is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Transportation, having authored 20 papers that have together received 187 indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (5 papers), Peer-to-Peer Network Technologies (4 papers) and Complex Network Analysis Techniques (4 papers). The work is most often cited by research in Computer Networks and Communications (98 citations), Information Systems (53 citations) and Transportation (10 citations). József Stéger has collaborated with scholars based in Hungary, Netherlands and Greece. Frequent co-authors include Gábor Vattay, István Csabai, Dániel Kondor, László Dobos, Péter Mátray, Sándor Laki, Jeroen van der Ham, Vasilis Maglaris, Cees de Laat and Mikel Izal. Their work appears in journals such as Nature Communications, Bioinformatics and PLoS ONE.

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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