Marília Barandas

1.2k total citations · 1 hit paper
31 papers, 779 citations indexed

About

Marília Barandas is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Marília Barandas has authored 31 papers receiving a total of 779 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Electrical and Electronic Engineering and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Marília Barandas's work include Indoor and Outdoor Localization Technologies (8 papers), Explainable Artificial Intelligence (XAI) (5 papers) and Time Series Analysis and Forecasting (5 papers). Marília Barandas is often cited by papers focused on Indoor and Outdoor Localization Technologies (8 papers), Explainable Artificial Intelligence (XAI) (5 papers) and Time Series Analysis and Forecasting (5 papers). Marília Barandas collaborates with scholars based in Portugal, Italy and Germany. Marília Barandas's co-authors include Hugo Gambôa, Duarte Folgado, Sara Santos, Hui Liu, Tanja Schultz, Mariana Abreu, Patrícia Bota, Federico Cabitza, Andrea Campagner and Miguel Carvalho and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Molecular Microbiology.

In The Last Decade

Marília Barandas

31 papers receiving 765 citations

Hit Papers

TSFEL: Time Series Feature Extraction Library 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marília Barandas Portugal 14 226 165 155 127 115 31 779
Duarte Folgado Portugal 13 242 1.1× 85 0.5× 156 1.0× 124 1.0× 138 1.2× 36 804
Khalid Abualsaud Qatar 17 229 1.0× 232 1.4× 97 0.6× 143 1.1× 78 0.7× 78 877
Ahmad Almadhor Saudi Arabia 20 513 2.3× 272 1.6× 217 1.4× 193 1.5× 93 0.8× 158 1.5k
Bertha Guijarro‐Berdiñas Spain 17 415 1.8× 92 0.6× 99 0.6× 134 1.1× 105 0.9× 69 971
Abdelilah Jilbab Morocco 17 366 1.6× 83 0.5× 249 1.6× 60 0.5× 117 1.0× 90 1.1k
Ninad Mehendale India 17 332 1.5× 81 0.5× 77 0.5× 380 3.0× 166 1.4× 90 1.2k
Zohaib Mushtaq Pakistan 19 232 1.0× 77 0.5× 251 1.6× 101 0.8× 82 0.7× 61 980
Marwa Qaraqe Qatar 20 249 1.1× 408 2.5× 92 0.6× 136 1.1× 204 1.8× 150 1.4k
A. Ahilan India 15 195 0.9× 136 0.8× 55 0.4× 264 2.1× 118 1.0× 74 835
Javier Sedano Spain 16 199 0.9× 118 0.7× 82 0.5× 158 1.2× 91 0.8× 65 698

Countries citing papers authored by Marília Barandas

Since Specialization
Citations

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

Fields of papers citing papers by Marília Barandas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marília Barandas

This figure shows the co-authorship network connecting the top 25 collaborators of Marília Barandas. A scholar is included among the top collaborators of Marília Barandas 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 Marília Barandas. Marília Barandas 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.
Campagner, Andrea, et al.. (2024). Evidence-based XAI: An empirical approach to design more effective and explainable decision support systems. Computers in Biology and Medicine. 170. 108042–108042. 20 indexed citations
2.
3.
Campagner, Andrea, Marília Barandas, Duarte Folgado, Hugo Gambôa, & Federico Cabitza. (2024). Ensemble Predictors: Possibilistic Combination of Conformal Predictors for Multivariate Time Series Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(11). 7205–7216. 2 indexed citations
4.
Barandas, Marília, et al.. (2023). Study of Uncertainty Quantification Using Multi-Label ECG in Deep Learning Models. 252–259. 1 indexed citations
5.
Carreiro, André V., et al.. (2023). Exploring Regularization Methods for Domain Generalization in Accelerometer-Based Human Activity Recognition. Sensors. 23(14). 6511–6511. 3 indexed citations
6.
Folgado, Duarte, et al.. (2023). Explainability meets uncertainty quantification: Insights from feature-based model fusion on multimodal time series. Information Fusion. 100. 101955–101955. 8 indexed citations
7.
Barandas, Marília, et al.. (2023). Evaluation of uncertainty quantification methods in multi-label classification: A case study with automatic diagnosis of electrocardiogram. Information Fusion. 101. 101978–101978. 14 indexed citations
8.
Cabitza, Federico, Andrea Campagner, Matteo Cameli, et al.. (2023). Rams, hounds and white boxes: Investigating human–AI collaboration protocols in medical diagnosis. Artificial Intelligence in Medicine. 138. 102506–102506. 48 indexed citations
9.
Barandas, Marília, et al.. (2022). Comparing Handcrafted Features and Deep Neural Representations for Domain Generalization in Human Activity Recognition. Sensors. 22(19). 7324–7324. 14 indexed citations
10.
Barandas, Marília, et al.. (2022). Acoustic Structural Integrity Assessment of Ceramics using Supervised Machine Learning and Uncertainty-Based Rejection. ACM SIGKDD Explorations Newsletter. 24(2). 105–113. 1 indexed citations
11.
Barandas, Marília, et al.. (2021). Human Activity Recognition for Indoor Localization Using Smartphone Inertial Sensors. Sensors. 21(18). 6316–6316. 16 indexed citations
12.
Barandas, Marília, et al.. (2021). Crowdsourcing-Based Fingerprinting for Indoor Location in Multi-Storey Buildings. IEEE Access. 9. 31143–31160. 19 indexed citations
13.
Folgado, Duarte, Sara Santos, Marília Barandas, et al.. (2021). Interpretable heartbeat classification using local model-agnostic explanations on ECGs. Computers in Biology and Medicine. 133. 104393–104393. 64 indexed citations
14.
Alves, Pedro, et al.. (2021). A Novel Approach for User Equipment Indoor/Outdoor Classification in Mobile Networks. IEEE Access. 9. 162671–162686. 7 indexed citations
15.
Barandas, Marília, et al.. (2020). Learning Human Behaviour Patterns by Trajectory and Activity Recognition. 220–227. 1 indexed citations
16.
Santos, Sara, et al.. (2020). An Infrastructure-Free Magnetic-Based Indoor Positioning System with Deep Learning. Sensors. 20(22). 6664–6664. 11 indexed citations
17.
Barandas, Marília, et al.. (2020). Learning Human Behaviour Patterns by Trajectory and Activity Recognition. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 220–227. 2 indexed citations
18.
Barandas, Marília, Duarte Folgado, Sara Santos, et al.. (2020). TSFEL: Time Series Feature Extraction Library. SoftwareX. 11. 100456–100456. 309 indexed citations breakdown →
19.
Barandas, Marília, et al.. (2019). Determination of the Walking Direction of a Pedestrian from Acceleration Data. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–6. 9 indexed citations
20.
Folgado, Duarte, et al.. (2018). Time Alignment Measurement for Time Series. Pattern Recognition. 81. 268–279. 64 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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