José Quevedo

726 total citations · 1 hit paper
32 papers, 515 citations indexed

About

José Quevedo is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, José Quevedo has authored 32 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Networks and Communications, 9 papers in Electrical and Electronic Engineering and 5 papers in Information Systems. Recurrent topics in José Quevedo's work include IoT and Edge/Fog Computing (15 papers), Caching and Content Delivery (13 papers) and Software-Defined Networks and 5G (11 papers). José Quevedo is often cited by papers focused on IoT and Edge/Fog Computing (15 papers), Caching and Content Delivery (13 papers) and Software-Defined Networks and 5G (11 papers). José Quevedo collaborates with scholars based in Portugal, Germany and Brazil. José Quevedo's co-authors include Rui L. Aguiar, Daniel Corujo, Marica Amadeo, Claudia Campolo, Antonella Molinaro, Antonio Iera, Athanasios V. Vasilakos, Mário Antunes, Diogo Gomes and Jaime García-Reinoso and has published in prestigious journals such as IEEE Access, IEEE Communications Magazine and Sensors.

In The Last Decade

José Quevedo

31 papers receiving 505 citations

Hit Papers

Information-centric networking for the internet of things... 2016 2026 2019 2022 2016 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
José Quevedo Portugal 9 449 91 63 41 37 32 515
Rao Naveed Bin Rais United Arab Emirates 12 424 0.9× 179 2.0× 73 1.2× 35 0.9× 54 1.5× 57 577
Hitoshi Asaeda Japan 12 403 0.9× 116 1.3× 129 2.0× 78 1.9× 31 0.8× 85 497
Muhammad Atif Ur Rehman South Korea 12 374 0.8× 148 1.6× 63 1.0× 43 1.0× 21 0.6× 35 478
Bohao Feng China 18 688 1.5× 216 2.4× 92 1.5× 92 2.2× 26 0.7× 50 791
Edgardo Montes de France 14 410 0.9× 109 1.2× 122 1.9× 129 3.1× 12 0.3× 33 529
Pedro B. Velloso Brazil 10 393 0.9× 191 2.1× 65 1.0× 65 1.6× 21 0.6× 33 529
Jianming Yan China 10 210 0.5× 131 1.4× 77 1.2× 24 0.6× 34 0.9× 17 429
Ross 4 189 0.4× 133 1.5× 41 0.7× 37 0.9× 28 0.8× 10 319
Anselme Ndikumana South Korea 12 335 0.7× 151 1.7× 64 1.0× 60 1.5× 51 1.4× 23 416

Countries citing papers authored by José Quevedo

Since Specialization
Citations

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

Fields of papers citing papers by José Quevedo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José Quevedo

This figure shows the co-authorship network connecting the top 25 collaborators of José Quevedo. A scholar is included among the top collaborators of José Quevedo 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 José Quevedo. José Quevedo 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.
Santos, David A., João M. N. Silva, José Quevedo, et al.. (2024). Exploring Multi-access Edge Computing Federation for V2X scenarios in the Route 25 project. 850–855. 1 indexed citations
2.
Quevedo, José, et al.. (2024). Automating 5G network slice management for industrial applications. Computer Communications. 229. 107991–107991. 1 indexed citations
3.
Corujo, Daniel, et al.. (2024). ULTRA-FAB5G: Unleashing the Potential of 5G for Industrial Digitalization. Zenodo (CERN European Organization for Nuclear Research). 955–960. 2 indexed citations
4.
Guimarães, Carlos, José Quevedo, Florian Zeiger, & Markus Sauer. (2024). Bridging Terrestrial and Satellite Networks: Exploring the Possibilities for 6G TN-NTN Convergence. 536–546. 1 indexed citations
5.
Moreira, Waldir, Mário Antunes, José Quevedo, et al.. (2023). Industrial Internet of Things over 5G: A Practical Implementation. Sensors. 23(11). 5199–5199. 16 indexed citations
6.
Corujo, Daniel, et al.. (2023). In‐network computing—challenges and opportunities. Internet Technology Letters. 7(3). 4 indexed citations
7.
Quevedo, José, et al.. (2023). 5GAIner: Taking the verticals into the 5G road. Zenodo (CERN European Organization for Nuclear Research). 514–519. 8 indexed citations
8.
Corujo, Daniel, et al.. (2023). An Empirical Assessment of the Contribution of 5G in Vertical Industries: A Case for the Transportation Sector. IEEE Access. 11. 15348–15363. 11 indexed citations
9.
Ran, Hao, José Quevedo, Daniel Corujo, et al.. (2023). Multi-Criteria Dynamic Service Migration for Ultra-Large-Scale Edge Computing Networks. IEEE Transactions on Industrial Informatics. 19(11). 11115–11127. 14 indexed citations
10.
Corujo, Daniel, et al.. (2023). Network federation: Challenges and opportunities. Internet Technology Letters. 7(3). 1 indexed citations
11.
Quevedo, José, et al.. (2022). Hands‐on Interdomain network slicing framework and evaluation. Internet Technology Letters. 5(6). 1 indexed citations
12.
Radwan, Ayman, Hao Ran, Daniel Corujo, et al.. (2022). Multi-Criteria Modeled Live Service Migration for Heterogeneous Edge Computing. GLOBECOM 2022 - 2022 IEEE Global Communications Conference. 5031–5036. 1 indexed citations
13.
Quevedo, José, et al.. (2021). Dynamic Interdomain Network Slicing for Verticals in the 5Growth Project. e-Archivo (Carlos III University of Madrid). 154–160. 6 indexed citations
14.
Guimarães, Carlos, José Quevedo, Rui Ferreira, Daniel Corujo, & Rui L. Aguiar. (2019). Content Retrieval while Moving Across IP and NDN Network Architectures. 1–6. 3 indexed citations
15.
Guimarães, Carlos, José Quevedo, Rui Ferreira, Daniel Corujo, & Rui L. Aguiar. (2019). Exploring interoperability assessment for Future Internet Architectures roll out. Journal of Network and Computer Applications. 136. 38–56. 6 indexed citations
16.
Quevedo, José, Rui Ferreira, Alireza Sepas‐Moghaddam, et al.. (2018). Selectively Accessing Light Field Face Images over Information Centric Networking. 13. 1–5. 1 indexed citations
17.
Quevedo, José, Carlos Guimarães, Rui Ferreira, Daniel Corujo, & Rui L. Aguiar. (2017). ICN as Network Infrastructure for Multi-Sensory Devices: Local Domain Service Discovery for ICN-based IoT Environments. Wireless Personal Communications. 95(1). 7–26. 6 indexed citations
18.
Quevedo, José, Rui Ferreira, Carlos Guimarães, Rui L. Aguiar, & Daniel Corujo. (2017). Internet of Things discovery in interoperable Information Centric and IP networks. Internet Technology Letters. 1(1). 9 indexed citations
19.
Quevedo, José, et al.. (2016). A secure IoT management architecture based on Information-Centric Networking. Journal of Network and Computer Applications. 63. 190–204. 38 indexed citations
20.
Scheer, Sérgio, et al.. (2007). THE NECESSARY BACKGROUND FOR IMPLEMENTING AND MANAGING BUILDING DESIGN PROCESSES USING WEB ENVIRONMENTS. Journal of Information Technology in Construction. 12(15). 221–230. 7 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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