Diogo Gomes

821 total citations
108 papers, 519 citations indexed

About

Diogo Gomes is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Diogo Gomes has authored 108 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Computer Networks and Communications, 32 papers in Electrical and Electronic Engineering and 26 papers in Artificial Intelligence. Recurrent topics in Diogo Gomes's work include IoT and Edge/Fog Computing (26 papers), Context-Aware Activity Recognition Systems (24 papers) and Software-Defined Networks and 5G (21 papers). Diogo Gomes is often cited by papers focused on IoT and Edge/Fog Computing (26 papers), Context-Aware Activity Recognition Systems (24 papers) and Software-Defined Networks and 5G (21 papers). Diogo Gomes collaborates with scholars based in Portugal, Spain and Greece. Diogo Gomes's co-authors include Rui L. Aguiar, Mário Antunes, João Paulo Barraca, Daniel Corujo, Susana Sargento, José Quevedo, Sofia Fernandes, Lisandro Zambenedetti Granville, Rui Prior and Antonio Skármeta and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Diogo Gomes

99 papers receiving 482 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diogo Gomes Portugal 12 315 158 101 98 82 108 519
Leonard Barolli Japan 15 447 1.4× 191 1.2× 103 1.0× 118 1.2× 112 1.4× 80 740
Andy Stanford-Clark United States 4 414 1.3× 152 1.0× 141 1.4× 88 0.9× 105 1.3× 6 587
Panagiotis Vlacheas Greece 11 372 1.2× 172 1.1× 96 1.0× 84 0.9× 120 1.5× 33 558
Takuo Suganuma Japan 13 538 1.7× 185 1.2× 155 1.5× 127 1.3× 112 1.4× 143 713
Son N. Han France 9 388 1.2× 132 0.8× 121 1.2× 74 0.8× 180 2.2× 10 551
Roger Immich Brazil 12 369 1.2× 167 1.1× 140 1.4× 51 0.5× 140 1.7× 48 543
Zhanyang Xu China 11 314 1.0× 119 0.8× 92 0.9× 161 1.6× 178 2.2× 30 539
Mahda Noura Germany 7 395 1.3× 191 1.2× 103 1.0× 90 0.9× 182 2.2× 10 625
Oladayo Bello United States 6 517 1.6× 319 2.0× 82 0.8× 90 0.9× 150 1.8× 8 771
Moneeb Gohar South Korea 15 339 1.1× 249 1.6× 100 1.0× 74 0.8× 97 1.2× 50 619

Countries citing papers authored by Diogo Gomes

Since Specialization
Citations

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

Fields of papers citing papers by Diogo Gomes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diogo Gomes

This figure shows the co-authorship network connecting the top 25 collaborators of Diogo Gomes. A scholar is included among the top collaborators of Diogo Gomes 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 Diogo Gomes. Diogo Gomes 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.
Antunes, Mário, et al.. (2025). Leveraging decentralized communication for privacy-preserving federated learning in 6G Networks. Computer Communications. 233. 108072–108072. 1 indexed citations
2.
Magalhães, D. M., et al.. (2025). Accelerating Energy Forecasting with Data Dimensionality Reduction in a Residential Environment. Energies. 18(7). 1637–1637. 1 indexed citations
3.
Almeida, Leonardo, et al.. (2025). Beyond performance comparing the costs of applying Deep and Shallow Learning. Computer Communications. 243. 108312–108312.
4.
Almeida, Leonardo, et al.. (2025). Efficient training: Federated learning cost analysis. Big Data Research. 40. 100510–100510. 2 indexed citations
5.
Gomes, Diogo, et al.. (2023). Moving Target Defense for the cloud/edge Telco environments. Internet of Things. 24. 100916–100916. 3 indexed citations
6.
Guimarães, Carlos, et al.. (2023). A Dataflow-Oriented Approach for Machine-Learning-Powered Internet of Things Applications. Electronics. 12(18). 3940–3940. 3 indexed citations
7.
Gomes, Diogo, et al.. (2023). A Zero-Touch and NFV-Based VPNaaS Solution. 175–180. 1 indexed citations
8.
Antunes, Mário, et al.. (2022). Comparison of Semantic Similarity Models on Constrained Scenarios. Information Systems Frontiers. 26(4). 1307–1330. 3 indexed citations
9.
Antunes, Mário, et al.. (2021). Building an IoT Platform Based on Service Containerisation. Sensors. 21(19). 6688–6688. 7 indexed citations
10.
Antunes, Mário, et al.. (2021). Using Deep Learning and Knowledge Transfer to Disaggregate Energy Consumption. 1–7. 3 indexed citations
11.
Santa, José, Antonio Skármeta, Jordi Ortiz, et al.. (2020). MIGRATE: Mobile Device Virtualisation Through State Transfer. IEEE Access. 8. 25848–25862. 25 indexed citations
12.
Fernandes, Sofia, et al.. (2020). Forecasting Appliances Failures: A Machine-Learning Approach to Predictive Maintenance. Information. 11(4). 208–208. 33 indexed citations
13.
García-Reinoso, Jaime, et al.. (2020). Reducing Service Creation Time Leveraging on Network Function Virtualization. IEEE Access. 8. 155679–155696. 2 indexed citations
14.
Ferreira, Joaquim, José Fonseca, Diogo Gomes, et al.. (2017). PASMO: An open living lab for cooperative ITS and smart regions. 1–6. 12 indexed citations
15.
Gomes, Diogo, et al.. (2014). Benchmarking the Performance of Hypervisors on Different Workloads. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 622–626. 1 indexed citations
16.
Gomes, Diogo & José A. Afonso. (2013). Improving the Communication Reliability of Body Sensor Networks Based on the IEEE 802.15.4 Protocol. Telemedicine Journal and e-Health. 20(3). 261–268. 2 indexed citations
17.
Gomes, Diogo & Rui L. Aguiar. (2006). Privacy through Virtual Hording. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 3 indexed citations
18.
Sargento, Susana, et al.. (2005). End-to-end QoS architecture for 4G scenarios. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 5 indexed citations
19.
Serrano, Pablo, Carlos J. Bernardos, José Ignacio Moreno, et al.. (2004). Field evaluation of a 4G “True-IP” network. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 4 indexed citations
20.
Lopes, Luís Seabra, et al.. (2003). A FRIENDLY AND FLEXIBLE HUMAN-ROBOT INTERFACE FOR CARL. Indian Journal of Dermatology. 66(4). 447–447. 1 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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