Roberto M. César

5.1k total citations · 1 hit paper
138 papers, 3.1k citations indexed

About

Roberto M. César is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Roberto M. César has authored 138 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Computer Vision and Pattern Recognition, 23 papers in Molecular Biology and 17 papers in Artificial Intelligence. Recurrent topics in Roberto M. César's work include Image Retrieval and Classification Techniques (17 papers), Face and Expression Recognition (16 papers) and Advanced Image and Video Retrieval Techniques (16 papers). Roberto M. César is often cited by papers focused on Image Retrieval and Classification Techniques (17 papers), Face and Expression Recognition (16 papers) and Advanced Image and Video Retrieval Techniques (16 papers). Roberto M. César collaborates with scholars based in Brazil, United States and France. Roberto M. César's co-authors include J. J. G. Leandro, Herbert F. Jelinek, João V. B. Soares, Michael J. Cree, Luciano da Fontoura Costa, Jesús Pascual Mena‐Chalco, Isabelle Bloch, Fabrício Martins Lopes, Yossi Zana and Júnior Barrera and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Gene.

In The Last Decade

Roberto M. César

130 papers receiving 2.9k 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.

Retinal vessel segmentation using the 2-D Gabor wavelet and supervised classification

2006 1.1k citations João V. B. Soares, J. J. G. Leandro et al. IEEE Transactions on Medical Imaging profile →

Peers

Roberto M. César

CVPR

RNMI

OPHTH

Jing Tian China

Yongmin Li United Kingdom

Hongmin Cai China

Mario Vento Italy

Md Zahangir Alom United States

Zhaopeng Meng China

Ali Can United States

Krzysztof Krawiec Poland

Fabio A. González Colombia

Joni‐Kristian Kämäräinen Finland

Jing Tian China

Roberto M. César

1.4k ×0.9

CVPR

476 ×0.4

RNMI

381 ×0.4

OPHTH

161 ×0.4

507 ×1.6

Citations per year, relative to Roberto M. César Roberto M. César (= 1×) peers Jing Tian

Countries citing papers authored by Roberto M. César

Since Specialization

Citations

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

Fields of papers citing papers by Roberto M. César

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto M. César

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto M. César. A scholar is included among the top collaborators of Roberto M. César 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 M. César. Roberto M. César 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:

20 of 20 papers shown

Bloch, Isabelle, et al.. (2024). Meta-learners for few-shot weakly-supervised medical image segmentation. Pattern Recognition. 153. 110471–110471. 9 indexed citations

Santos, Jefersson A. dos, et al.. (2023). An overview on Meta-learning approaches for Few-shot Weakly-supervised Segmentation. Computers & Graphics. 113. 77–88. 16 indexed citations

Bando, Sílvia Yumi, Sandra Elisabete Vieira, Danielle Bruna Leal Oliveira, et al.. (2023). Blood leukocyte transcriptional modules and differentially expressed genes associated with disease severity and age in COVID-19 patients. Scientific Reports. 13(1). 898–898. 3 indexed citations

Li, Siyuan, Wenqi Ren, Iago Breno Araujo, et al.. (2021). A Comprehensive Benchmark Analysis of Single Image Deraining: Current Challenges and Future Perspectives. International Journal of Computer Vision. 129(4). 1301–1322. 50 indexed citations

Urbanová, Petra, et al.. (2016). Two-Dimensional Wavelet Analysis of Supraorbital Margins of the Human Skull for Characterizing Sexual Dimorphism. IEEE Transactions on Information Forensics and Security. 11(7). 1542–1548. 8 indexed citations

Lopes, Fabrício Martins, Shubhra Sankar Ray, Ronaldo F. Hashimoto, & Roberto M. César. (2014). Entropic Biological Score: a cell cycle investigation for GRNs inference. Gene. 541(2). 129–137. 11 indexed citations

Lopes, Fabrício Martins, Roberto M. César, & Luciano da Fontoura Costa. (2011). Gene Expression Complex Networks: Synthesis, Identification, and Analysis. Journal of Computational Biology. 18(10). 1353–1367. 27 indexed citations

Lopes, Fabrício Martins, et al.. (2011). Inference of gene regulatory networks from time series by Tsallis entropy. BMC Systems Biology. 5(1). 61–61. 29 indexed citations

César, Roberto M., et al.. (2009). Shape Classification and Analysis: Theory and Practice. CRC Press, Inc. eBooks. 61 indexed citations

10.

Jelinek, Herbert F., Fernando Oréfice, Carlos Alexandre de Amorim Garcia, et al.. (2009). Fractal Analysis Of The Normal Human Retinal Vasculature. 8(2). 1–5. 8 indexed citations

11.

Karperien, Audrey, et al.. (2008). Automated detection of proliferative retinopathy in clinical practice. SHILAP Revista de lepidopterología. 10 indexed citations

12.

Leandro, J. J. G., et al.. (2008). Automatic contour extraction from 2D neuron images. Journal of Neuroscience Methods. 177(2). 497–509. 19 indexed citations

13.

César, Roberto M., et al.. (2007). Oversegmentation control for inexact graph matching: First results.. Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research). 375–386. 1 indexed citations

14.

César, Roberto M., et al.. (2007). Graph-based Object Tracking Using Structural Pattern Recognition. 179–186. 76 indexed citations

15.

Jelinek, Herbert F., Michael J. Cree, J. J. G. Leandro, et al.. (2007). Automated segmentation of retinal blood vessels and identification of proliferative diabetic retinopathy. Journal of the Optical Society of America A. 24(5). 1448–1448. 46 indexed citations

16.

Barrera, Júnior, Roberto M. César, David Martins, et al.. (2007). A feature selection approach for identification of signature genes from SAGE data. BMC Bioinformatics. 8(1). 169–169. 2 indexed citations

17.

Soares, João V. B., J. J. G. Leandro, Roberto M. César, Herbert F. Jelinek, & Michael J. Cree. (2006). Retinal vessel segmentation using the 2-D Gabor wavelet and supervised classification. IEEE Transactions on Medical Imaging. 25(9). 1214–1222. 1099 indexed citations breakdown →

18.

Soares, João–Bruno, et al.. (2005). USING THE 2-D MORLET WAVELET WITH SUPERVISED CLASSIFICATION FOR RETINAL VESSEL SEGMENTATION. Charles Sturt University Research Output (CRO). 0–0. 12 indexed citations

19.

Barrera, Júnior, et al.. (2003). An environment for knowledge discovery in biology. Computers in Biology and Medicine. 34(5). 427–447. 11 indexed citations

20.

César, Roberto M. & Luciano da Fontoura Costa. (1999). Computer-vision-based extraction of neural dendrograms. Journal of Neuroscience Methods. 93(2). 121–131. 17 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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