Roberto Souza

2.1k total citations · 1 hit paper
54 papers, 1.2k citations indexed

About

Roberto Souza is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Roberto Souza has authored 54 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Artificial Intelligence and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Roberto Souza's work include Functional Brain Connectivity Studies (8 papers), Advanced MRI Techniques and Applications (7 papers) and Advanced Neuroimaging Techniques and Applications (7 papers). Roberto Souza is often cited by papers focused on Functional Brain Connectivity Studies (8 papers), Advanced MRI Techniques and Applications (7 papers) and Advanced Neuroimaging Techniques and Applications (7 papers). Roberto Souza collaborates with scholars based in Canada, Brazil and United States. Roberto Souza's co-authors include Letícia Rittner, Roberto Lotufo, Pedram Ghamisi, Jón Atli Benediktsson, Richard Frayne, Xiao Xiang Zhu, Erick Giovani Sperandio Nascimento, Herman Augusto Lepikson, Emmanuel Maggiori and Shutao Li and has published in prestigious journals such as NeuroImage, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Roberto Souza

48 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

New Frontiers in Spectral-Spatial Hyperspectral Image Classification: The Latest Advances Based on Mathematical Morphology, Markov Random Fields, Segmentation, Sparse Representation, and Deep Learning

2018 273 citations Pedram Ghamisi, Emmanuel Maggiori et al. IEEE Geoscience and Remote Sensing Magazine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Roberto Souza Canada	12	468	308	296	256	199	54	1.2k
Dan Hu China	17	422 0.9×	239 0.8×	258 0.9×	191 0.7×	106 0.5×	95	1.1k
Jianwei Zheng China	17	721 1.5×	363 1.2×	632 2.1×	287 1.1×	136 0.7×	75	1.5k
Salah Bourennane France	26	762 1.6×	191 0.6×	1.1k 3.8×	217 0.8×	312 1.6×	137	2.5k
Xichuan Zhou China	19	244 0.5×	92 0.3×	264 0.9×	244 1.0×	104 0.5×	111	1.2k
Baodi Liu China	18	416 0.9×	137 0.4×	670 2.3×	438 1.7×	74 0.4×	161	1.2k
Xiaoheng Tan China	19	185 0.4×	73 0.2×	219 0.7×	200 0.8×	71 0.4×	105	1.1k
Ceyuan Yang Hong Kong	12	705 1.5×	286 0.9×	1.4k 4.8×	661 2.6×	74 0.4×	22	2.0k
Gong Zhang China	24	317 0.7×	82 0.3×	364 1.2×	304 1.2×	36 0.2×	230	2.2k
Hao Zhu China	17	508 1.1×	125 0.4×	616 2.1×	208 0.8×	26 0.1×	76	1.2k

Countries citing papers authored by Roberto Souza

Since Specialization

Citations

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

Fields of papers citing papers by Roberto Souza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Souza

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

All Works

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20 of 20 papers shown

Souza, Roberto, et al.. (2025). Automated quantitative analysis of peri-articular bone microarchitecture in HR-pQCT knee images. Computer Methods and Programs in Biomedicine. 269. 108882–108882.

Demissie, Merkebe Getachew, et al.. (2024). UNET and UNETR Based Frameworks for Predicting the Short-Term Spatiotemporal Demand of E-Scooter Sharing Services. 2804–2811. 1 indexed citations

Ahmadi, Reza, Neha Gianchandani, Samer Adeeb, et al.. (2024). Integration of Swin UNETR and statistical shape modeling for a semi-automated segmentation of the knee and biomechanical modeling of articular cartilage. Scientific Reports. 14(1). 2748–2748. 5 indexed citations

Dertkigil, Sérgio San Juan, et al.. (2024). Spectro-ViT: A vision transformer model for GABA-edited MEGA-PRESS reconstruction using spectrograms. Magnetic Resonance Imaging. 113. 110219–110219. 1 indexed citations

Crump, Trafford, et al.. (2023). Explaining Eye Diseases Detected by Machine Learning Using SHAP: A Case Study of Diabetic Retinopathy and Choroidal Nevus. SN Computer Science. 4(5). 5 indexed citations

Mohammed, Emad A., et al.. (2023). Choroidal Nevi Classification in Fundus Images Using a Patch-Based Deep Learning Approach. 177–178.

Souza, Roberto, et al.. (2023). Towards understanding quality challenges of the federated learning for neural networks: a first look from the lens of robustness. Empirical Software Engineering. 28(2). 2 indexed citations

Souza, Roberto, et al.. (2022). A domain adaptation benchmark for T1-weighted brain magnetic resonance image segmentation. Frontiers in Neuroinformatics. 16. 919779–919779. 3 indexed citations

Metzak, Paul D., Xiangyu Long, Roberto Souza, et al.. (2022). Brain connectomes in youth at risk for serious mental illness: an exploratory analysis. BMC Psychiatry. 22(1). 611–611. 5 indexed citations

10.

Souza, Roberto, et al.. (2021). Extraction of a vascular function for a fully automated dynamic contrast‐enhanced magnetic resonance brain image processing pipeline. Magnetic Resonance in Medicine. 87(3). 1561–1573. 2 indexed citations

11.

Souza, Roberto, et al.. (2020). Enhanced Deep-Learning-Based Magnetic Resonance Image Reconstruction by Leveraging Prior Subject-Specific Brain Imaging: Proof-of-Concept Using a Cohort of Presumed Normal Subjects. IEEE Journal of Selected Topics in Signal Processing. 14(6). 1126–1136. 11 indexed citations

12.

Addington, Jean, Roberto Souza, Jacqueline Stowkowy, et al.. (2020). Childhood trauma and amygdala nuclei volumes in youth at risk for mental illness. Psychological Medicine. 52(6). 1192–1199. 29 indexed citations

13.

Souza, Roberto, Paul D. Metzak, Stefanie Hassel, et al.. (2020). Aberrant limbic brain structures in young individuals at risk for mental illness. Psychiatry and Clinical Neurosciences. 74(5). 294–302. 11 indexed citations

14.

Lazzaro, D., et al.. (2019). Lightcurve analysis for 25 candidates to near-Earth binary asteroids. 2019. 1 indexed citations

15.

Ghamisi, Pedram, Emmanuel Maggiori, Shutao Li, et al.. (2018). New Frontiers in Spectral-Spatial Hyperspectral Image Classification: The Latest Advances Based on Mathematical Morphology, Markov Random Fields, Segmentation, Sparse Representation, and Deep Learning. IEEE Geoscience and Remote Sensing Magazine. 6(3). 10–43. 273 indexed citations breakdown →

16.

Souza, Roberto, et al.. (2018). Rotational Period Determination for 12 Near-Earth Asteroids. 45(3). 221–224. 2 indexed citations

17.

Silva, José, et al.. (2017). Lightcurve Analysis for Ten Near-Earth Asteroids. 44(1). 20–22. 4 indexed citations

18.

Ghamisi, Pedram, Roberto Souza, Jón Atli Benediktsson, et al.. (2016). Hyperspectral Data Classification Using Extended Extinction Profiles. IEEE Geoscience and Remote Sensing Letters. 13(11). 1641–1645. 68 indexed citations

19.

Júnior, Pedro Ribeiro Mendes, Roberto Souza, Rafael de Oliveira Werneck, et al.. (2016). Nearest neighbors distance ratio open-set classifier. Machine Learning. 106(3). 359–386. 174 indexed citations

20.

Ghamisi, Pedram, Roberto Souza, Letícia Rittner, et al.. (2016). Extinction profiles: A novel approach for the analysis of remote sensing data. elib (German Aerospace Center). 5122–5125. 2 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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