Romero Morais

426 total citations
6 papers, 261 citations indexed

About

Romero Morais is a scholar working on Artificial Intelligence, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Romero Morais has authored 6 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Biomedical Engineering and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Romero Morais's work include Imbalanced Data Classification Techniques (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Machine Learning and Data Classification (3 papers). Romero Morais is often cited by papers focused on Imbalanced Data Classification Techniques (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Machine Learning and Data Classification (3 papers). Romero Morais collaborates with scholars based in Australia and Brazil. Romero Morais's co-authors include Moussa Reda Mansour, Budhaditya Saha, Vuong Le, Svetha Venkatesh, Truyen Tran, Germano C. Vasconcelos, Péricles Miranda, Alison Salt, Elizabeth Hurrion and Paul A. Dawson and has published in prestigious journals such as Neurocomputing and IEEE Journal of Biomedical and Health Informatics.

In The Last Decade

Romero Morais

6 papers receiving 256 citations

Peers

Countries citing papers authored by Romero Morais

Since Specialization

Citations

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

Fields of papers citing papers by Romero Morais

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Romero Morais

This figure shows the co-authorship network connecting the top 25 collaborators of Romero Morais. A scholar is included among the top collaborators of Romero Morais 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 Romero Morais. Romero Morais is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

#	Work	Indexed citations
1	Fine-Grained Fidgety Movement Classification Using Active Learning 2024 ·IEEE Journal of Biomedical and Health Informatics ·Romero Morais, Truyen Tran, (unknown), (unknown), Catherine Morgan, Alicia J. Spittle, Vuong Le, Nadia Badawi, Alison Salt, Jane Valentine, (unknown), Elizabeth Hurrion, Paul A. Dawson, Svetha Venkatesh	1
2	Robust and Interpretable General Movement Assessment Using Fidgety Movement Detection 2023 ·IEEE Journal of Biomedical and Health Informatics ·Romero Morais, Vuong Le, Catherine Morgan, Alicia J. Spittle, Nadia Badawi, Jane Valentine, Elizabeth Hurrion, Paul A. Dawson, Truyen Tran, Svetha Venkatesh	4
3	Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos 2019 ·Romero Morais, Vuong Le, Truyen Tran, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh	210
4	Boosting the performance of over-sampling algorithms through under-sampling the minority class 2019 ·Neurocomputing ·Romero Morais, Germano C. Vasconcelos	39
5	Using a Many-Objective Optimization Algorithm to Select Sampling Approaches for Imbalanced Datasets 2018 ·Péricles Miranda, Romero Morais, (unknown)	1
6	A Meta-Learning Method to Select Under-Sampling Algorithms for Imbalanced Data Sets 2016 ·Romero Morais, Péricles Miranda, (unknown)	6

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.

Explore authors with similar magnitude of impact