Péter Mátray

405 citations
17 papers · 257 · h-index 10

Impact in

    • Network Traffic and Congestion Control
    • IoT and Edge/Fog Computing
    • Caching and Content Delivery
    • Software-Defined Networks and 5G
    • Network Security and Intrusion Detection
    • Peer-to-Peer Network Technologies
    • Cloud Computing and Resource Management

Papers in

Péter Mátray

17 papers receiving 246 citations

Peers

Péter Mátray
Comparison fields: 5 of 31
  • Computer Networks and Communications 216
  • Information Systems 97
  • Artificial Intelligence 70
  • Hardware and Architecture 14
  • Statistical and Nonlinear Physics 25
Replace Daniela Gavidia with:
Daniela Gavidia Netherlands
Gautam Akiwate United States
Prakash Kolan United States
Yuri Pradkin United States
Taoufik En-Najjary France
Patrick Verkaik United States
José Luis García‐Dorado Spain
Brice Augustin France
Dominik Schatzmann Switzerland
Gregor Maier United States
Péter Mátray relative to Daniela Gavidia Netherlands Daniela Gavidia's profile →
Citations per field
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Daniela Gavidia · 1×
Citations per year

Countries citing papers authored by Péter Mátray

Since Specialization
Citations

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

Fields of papers citing papers by Péter Mátray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Péter Mátray, 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 Péter Mátray Line = papers co-authored together Péter Mátray links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201171
2 202226
3 200925
4 200918
5 201116
6 201914
7 202113
8 201213
9
DAL: a locality-optimizing distributed shared memory system
201711
10 200711
11 20198
12 20067
13 20206
14 20116
15 20215
16 20165
17 20132

About Péter Mátray

Péter Mátray is a scholar working on Computer Networks and Communications, Information Systems, Statistical and Nonlinear Physics, Electrical and Electronic Engineering and Artificial Intelligence, having authored 17 papers that have together received 257 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (7 papers), IoT and Edge/Fog Computing (7 papers), Network Traffic and Congestion Control (5 papers), Software-Defined Networks and 5G (4 papers), Complex Network Analysis Techniques (3 papers), Advanced Optical Network Technologies (3 papers), Caching and Content Delivery (3 papers) and Peer-to-Peer Network Technologies (2 papers). The work is most often cited by research in Computer Networks and Communications (216 citations), Information Systems (97 citations), Artificial Intelligence (70 citations), Hardware and Architecture (14 citations) and Statistical and Nonlinear Physics (25 citations). Péter Mátray has collaborated with scholars based in Hungary, Sweden and Czechia. Frequent co-authors include Gábor Vattay, István Csabai, Sándor Laki, László Toka, Márk Szalay, József Stéger, Máté Nagy, Gergely Pongrácz, László Dobos and Felicián Németh. Their work appears in journals such as Computer Networks, IEEE Transactions on Cloud Computing, Physica A Statistical Mechanics and its Applications, Electronics and IEEE International Conference on Cloud Computing Technology and Science.

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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