Mário Antunes

515 total citations
60 papers, 324 citations indexed

About

Mário Antunes is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mário Antunes has authored 60 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Networks and Communications, 21 papers in Artificial Intelligence and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mário Antunes's work include Context-Aware Activity Recognition Systems (15 papers), IoT and Edge/Fog Computing (14 papers) and Anomaly Detection Techniques and Applications (8 papers). Mário Antunes is often cited by papers focused on Context-Aware Activity Recognition Systems (15 papers), IoT and Edge/Fog Computing (14 papers) and Anomaly Detection Techniques and Applications (8 papers). Mário Antunes collaborates with scholars based in Portugal, United States and Spain. Mário Antunes's co-authors include Diogo Gomes, Rui L. Aguiar, Daniel Corujo, João Paulo Barraca, José Quevedo, Pedro Gonçalves, Sofia Fernandes, Lianshe Fu, Sandra F. H. Correia and Elisabete F. Freitas and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Mário Antunes

51 papers receiving 310 citations

Peers

Mário Antunes
Angelo Corsaro United States
Xingxing Xiong China
Bilal Afzal Pakistan
Tri‐Hai Nguyen South Korea
Krešimir Grgić Croatia
Francisco Moya Spain
Simon Monk United Kingdom
Hyun-Kyo Lim South Korea
Serafí­n Alonso Spain
Kailai Wang China
Angelo Corsaro United States
Mário Antunes
Citations per year, relative to Mário Antunes Mário Antunes (= 1×) peers Angelo Corsaro

Countries citing papers authored by Mário Antunes

Since Specialization
Citations

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

Fields of papers citing papers by Mário Antunes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mário Antunes

This figure shows the co-authorship network connecting the top 25 collaborators of Mário Antunes. A scholar is included among the top collaborators of Mário Antunes 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 Mário Antunes. Mário Antunes 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.
2.
Almeida, Leonardo, et al.. (2025). Beyond performance comparing the costs of applying Deep and Shallow Learning. Computer Communications. 243. 108312–108312.
3.
Antunes, Mário, et al.. (2025). Federated Learning for a Dynamic Edge: A Modular and Resilient Approach. Sensors. 25(12). 3812–3812. 2 indexed citations
4.
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
5.
Ferreira, João Filipe, Pedro Gonçalves, & Mário Antunes. (2025). A two-stage approach for lambing detection. Smart Agricultural Technology. 12. 101438–101438.
6.
Antunes, Mário, Anshul Gandhi, Geoff Kuenning, et al.. (2025). Kneeliverse: A universal knee-detection library for performance curves. SoftwareX. 30. 102161–102161.
7.
Ferreira, Rute A. S., Sandra F. H. Correia, Pétia Georgieva, et al.. (2024). A comprehensive dataset of photonic features on spectral converters for energy harvesting. Scientific Data. 11(1). 50–50. 8 indexed citations
8.
Almeida, Leonardo, et al.. (2024). From Black Box to Transparency: Consistency and Cost within XAI. 1–6.
9.
Ferreira, Rute A. S., Sandra F. H. Correia, Lianshe Fu, et al.. (2024). Predicting the efficiency of luminescent solar concentrators for solar energy harvesting using machine learning. Scientific Reports. 14(1). 4160–4160. 9 indexed citations
10.
Almeida, Leonardo, et al.. (2024). Shallow vs. Deep Learning: Prioritizing Efficiency in Next Generation Networks. 308–315. 1 indexed citations
11.
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
12.
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
13.
14.
Antunes, Mário, et al.. (2022). Comparison of Semantic Similarity Models on Constrained Scenarios. Information Systems Frontiers. 26(4). 1307–1330. 3 indexed citations
15.
Rocha, Ricardo, et al.. (2021). Root Cause Analysis in 5G/6G Networks. 217–224. 6 indexed citations
16.
Antunes, Mário, et al.. (2021). Building an IoT Platform Based on Service Containerisation. Sensors. 21(19). 6688–6688. 7 indexed citations
17.
Antunes, Mário, Diogo Gomes, & Rui L. Aguiar. (2021). Semantic similarity on constraints datasets: A latent approach. 2 indexed citations
18.
Antunes, Mário, et al.. (2021). Using Deep Learning and Knowledge Transfer to Disaggregate Energy Consumption. 1–7. 3 indexed citations
19.
Fernandes, Sofia, et al.. (2020). Forecasting Appliances Failures: A Machine-Learning Approach to Predictive Maintenance. Information. 11(4). 208–208. 33 indexed citations
20.
Antunes, Mário, Diogo Gomes, & Rui L. Aguiar. (2014). Semantic-Based Publish/Subscribe for M2M. 256–263. 6 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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