Paul Patras

56 papers receiving 2.0k citations

Hit Papers

Deep Learning in Mobile and Wireless Networking: A Survey201920262021202320192505007501000

Peers

Paul Patras
Comparison fields: 5 of 91
  • Computer Networks and Communications 1.2k
  • Electrical and Electronic Engineering 928
  • Artificial Intelligence 699
  • Signal Processing 266
  • Computer Vision and Pattern Recognition 199
Replace Chaoyun Zhang with:
Chaoyun Zhang China
Takeru Inoue Japan
Kimihiro Mizutani Japan
Dajiang Chen China
Penglin Dai China
Xufei Mao China
Ghulam Abbas Pakistan
Cesar Vargas‐Rosales Mexico
Suraj Sharma India
Anand Iyer United States
Paul Patras relative to Chaoyun Zhang China Chaoyun Zhang's profile →
Citations per field
00.5×10×20×30×37×
Chaoyun Zhang · 1×
Citations per year

Countries citing papers authored by Paul Patras

Since Specialization
Citations

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

Fields of papers citing papers by Paul Patras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Patras

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Patras. A scholar is included among the top collaborators of Paul Patras 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 Paul Patras. Paul Patras 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 6
2 0
3 1
4 5
5 2
6 6
7 6
8 18
9 20
10 18
11 11
12 4
13 3
14
A modular, flexible and virtualizable framework for IEEE 802.11
1
15 13
16 14
17
On the scalability of carrier-grade mesh network architectures
3
18 67
19
A MAC Layer Abstraction for Heterogeneous CarrierGrade Mesh Networks
8
20 25

About Paul Patras

Paul Patras is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence, having authored 61 papers that have together received 2.0k indexed citations. Recurring topics across this work include Wireless Networks and Protocols (21 papers), Mobile Ad Hoc Networks (14 papers) and Advanced MIMO Systems Optimization (13 papers). The work is most often cited by research in Computer Networks and Communications (1.2k citations), Signal Processing (266 citations) and Artificial Intelligence (699 citations). Paul Patras has collaborated with scholars based in United Kingdom, Spain and Ireland. Frequent co-authors include Chaoyun Zhang, Hamed Haddadi, Pablo Serrano, Albert Banchs, Xavier Costa‐Pérez, Arturo Azcorra, Marco Fiore, Francesco Gringoli, Xi Ouyang and David Malone. Their work appears in journals such as PLoS ONE, IEEE Communications Surveys & Tutorials and IEEE Access.

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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