Paul Patras

3.6k total citations · 1 hit paper
61 papers, 2.0k citations indexed

About

Paul Patras is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Paul Patras has authored 61 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computer Networks and Communications, 26 papers in Electrical and Electronic Engineering and 16 papers in Artificial Intelligence. Recurrent topics in Paul Patras's work include Wireless Networks and Protocols (21 papers), Mobile Ad Hoc Networks (14 papers) and Advanced MIMO Systems Optimization (13 papers). Paul Patras is often cited by papers focused on Wireless Networks and Protocols (21 papers), Mobile Ad Hoc Networks (14 papers) and Advanced MIMO Systems Optimization (13 papers). Paul Patras collaborates with scholars based in United Kingdom, Spain and Ireland. Paul Patras's 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 and has published in prestigious journals such as PLoS ONE, IEEE Communications Surveys & Tutorials and IEEE Access.

In The Last Decade

Paul Patras

56 papers receiving 2.0k citations

Hit Papers

Deep Learning in Mobile and Wireless Networking: A Survey 2019 2026 2021 2023 2019 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Paul Patras United Kingdom 19 1.2k 928 699 266 199 61 2.0k
Chaoyun Zhang China 16 894 0.7× 963 1.0× 779 1.1× 246 0.9× 234 1.2× 40 2.2k
Takeru Inoue Japan 13 1.2k 1.0× 819 0.9× 524 0.7× 121 0.5× 150 0.8× 80 1.9k
Kimihiro Mizutani Japan 11 1.1k 0.9× 716 0.8× 487 0.7× 102 0.4× 135 0.7× 39 1.7k
Cesar Vargas‐Rosales Mexico 19 932 0.8× 1.0k 1.1× 346 0.5× 178 0.7× 117 0.6× 121 1.7k
Ghulam Abbas Pakistan 26 1.2k 1.0× 1.1k 1.2× 448 0.6× 138 0.5× 182 0.9× 147 2.3k
Dajiang Chen China 21 661 0.5× 508 0.5× 506 0.7× 201 0.8× 284 1.4× 58 1.5k
Penglin Dai China 24 937 0.8× 583 0.6× 462 0.7× 121 0.5× 264 1.3× 69 1.8k
Suraj Sharma India 22 1.3k 1.1× 825 0.9× 343 0.5× 169 0.6× 160 0.8× 80 1.9k
Xufei Mao China 24 1.4k 1.1× 977 1.1× 283 0.4× 203 0.8× 213 1.1× 74 2.3k
Laisen Nie China 20 717 0.6× 360 0.4× 498 0.7× 199 0.7× 88 0.4× 48 1.2k

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
1.
Patras, Paul, et al.. (2024). Stable-Sketch: A Versatile Sketch for Accurate, Fast, Web-Scale Data Stream Processing. Edinburgh Research Explorer (University of Edinburgh). 4227–4238. 6 indexed citations
2.
Gramaglia, Marco, Andrés García‐Saavedra, Steffen Gebert, et al.. (2024). Towards 6G: Architectural Innovations and Challenges in the ORIGAMI Framework. 1139–1144.
3.
Patras, Paul, et al.. (2024). Sabre: Cutting through Adversarial Noise with Adaptive Spectral Filtering and Input Reconstruction. Edinburgh Research Explorer. 2901–2919. 1 indexed citations
4.
Patras, Paul, et al.. (2023). Tight-Sketch: A High-Performance Sketch for Heavy Item-Oriented Data Stream Mining with Limited Memory Size. Edinburgh Research Explorer. 1328–1337. 5 indexed citations
5.
Patras, Paul, et al.. (2023). Deciphering Clusters With a Deterministic Measure of Clustering Tendency. IEEE Transactions on Knowledge and Data Engineering. 36(4). 1489–1501. 2 indexed citations
6.
Thompson, John, et al.. (2022). Deep reinforcement learning-based beam training with energy and spectral efficiency maximisation for millimetre-wave channels. EURASIP Journal on Wireless Communications and Networking. 2022(1). 6 indexed citations
7.
Liu, Haoyu, et al.. (2022). TransMUSE: Transferable Traffic Prediction in MUlti-Service Edge Networks. Computer Networks. 221. 109518–109518. 6 indexed citations
8.
Ergüt, Salih, et al.. (2022). SDGNet: A Handover-Aware Spatiotemporal Graph Neural Network for Mobile Traffic Forecasting. IEEE Communications Letters. 26(3). 582–586. 18 indexed citations
9.
Zhang, Chaoyun, Marco Fiore, Iain Murray, & Paul Patras. (2021). CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting. Proceedings of the AAAI Conference on Artificial Intelligence. 35(12). 10851–10858. 20 indexed citations
10.
Zhang, Chaoyun, Marco Fiore, Cezary Ziemlicki, & Paul Patras. (2020). Microscope. HAL (Le Centre pour la Communication Scientifique Directe). 1–14. 18 indexed citations
11.
Liu, Haoyu, et al.. (2019). Uncovering Security Vulnerabilities in the Belkin WeMo Home Automation Ecosystem. St Andrews Research Repository (St Andrews Research Repository). 894–899. 11 indexed citations
12.
Patras, Paul, et al.. (2019). Max-Min Fair Resource Allocation in Millimetre-Wave Backhauls. IEEE Transactions on Mobile Computing. 19(8). 1879–1895. 4 indexed citations
13.
Sim, Gek Hong, et al.. (2016). Learning from experience: Efficient decentralized scheduling for 60GHz mesh networks. Edinburgh Research Explorer. 1–9. 3 indexed citations
14.
Paris, Stefano, et al.. (2012). A modular, flexible and virtualizable framework for IEEE 802.11. Future Network & Mobile Summit. 1–8. 1 indexed citations
15.
Patras, Paul, Albert Banchs, & Pablo Serrano. (2012). A control theoretic scheme for efficient video transmission over IEEE 802.11e EDCA WLANs. ACM Transactions on Multimedia Computing Communications and Applications. 8(3). 1–23. 13 indexed citations
16.
Patras, Paul, et al.. (2012). Exploiting the capture effect to improve WLAN throughput. 1–9. 14 indexed citations
17.
Lessmann, Johannes, Antonio de la Oliva, Cigdem Sengul, et al.. (2011). On the scalability of carrier-grade mesh network architectures. Radar (Oxford Brookes University). 1–8. 3 indexed citations
18.
Serrano, Pablo, Albert Banchs, Paul Patras, & Arturo Azcorra. (2010). Optimal Configuration of 802.11e EDCA for Real-Time and Data Traffic. IEEE Transactions on Vehicular Technology. 59(5). 2511–2528. 67 indexed citations
19.
Serrano, Pablo, et al.. (2009). A MAC Layer Abstraction for Heterogeneous CarrierGrade Mesh Networks. 8 indexed citations
20.
Patras, Paul, Albert Banchs, & Pablo Serrano. (2008). A Control Theoretic Approach for Throughput Optimization in IEEE 802.11e EDCA WLANs. Mobile Networks and Applications. 14(6). 697–708. 25 indexed citations

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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