Roberto Hirata

1.7k total citations
87 papers, 1.1k citations indexed

About

Roberto Hirata is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Roberto Hirata has authored 87 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Vision and Pattern Recognition, 25 papers in Artificial Intelligence and 10 papers in Molecular Biology. Recurrent topics in Roberto Hirata's work include Image Retrieval and Classification Techniques (11 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Medical Image Segmentation Techniques (8 papers). Roberto Hirata is often cited by papers focused on Image Retrieval and Classification Techniques (11 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Medical Image Segmentation Techniques (8 papers). Roberto Hirata collaborates with scholars based in Brazil, United States and France. Roberto Hirata's co-authors include Júnior Barrera, Zhangyang Wang, Xiaochun Cao, Siyuan Li, Eric K. Tokuda, Wenqi Ren, Iago Breno Araujo, Nina S. T. Hirata, Jiawan Zhang and Xiaojie Guo and has published in prestigious journals such as PLoS ONE, Cancer and Cancer Research.

In The Last Decade

Roberto Hirata

82 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roberto Hirata Brazil 20 512 214 211 162 85 87 1.1k
Muhammad Imran Malik Pakistan 21 804 1.6× 404 1.9× 210 1.0× 232 1.4× 15 0.2× 84 1.6k
Hengmin Zhang China 22 428 0.8× 228 1.1× 346 1.6× 129 0.8× 13 0.2× 43 1.4k
Yanshan Li China 20 467 0.9× 223 1.0× 355 1.7× 193 1.2× 24 0.3× 107 1.3k
Yue Chen China 15 418 0.8× 261 1.2× 116 0.5× 76 0.5× 178 2.1× 67 1.1k
Abbas Cheddad Sweden 17 1.6k 3.2× 291 1.4× 46 0.2× 114 0.7× 49 0.6× 66 2.2k
Ioan Tăbuş Finland 17 344 0.7× 174 0.8× 307 1.5× 40 0.2× 34 0.4× 101 822
Weifeng Zhang China 16 191 0.4× 189 0.9× 174 0.8× 33 0.2× 25 0.3× 93 814
Hui Feng China 16 325 0.6× 164 0.8× 276 1.3× 69 0.4× 37 0.4× 61 1.1k
Xiaoshuang Shi China 25 884 1.7× 955 4.5× 108 0.5× 115 0.7× 24 0.3× 66 1.8k

Countries citing papers authored by Roberto Hirata

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Hirata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Hirata

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Hirata. A scholar is included among the top collaborators of Roberto Hirata 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 Hirata. Roberto Hirata 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.
Hirata, Roberto, et al.. (2025). Large-gap seismic data interpolation with generative adversarial networks. Geophysics. 90(4). V373–V388.
2.
Batista, Daniel Macêdo, et al.. (2023). A Crash Response System using LoRa-based V2X Communications. 1–5. 2 indexed citations
3.
Espadoto, Mateus, et al.. (2022). SDBM: Supervised Decision Boundary Maps for Machine Learning Classifiers. 77–87. 9 indexed citations
4.
Hirata, Roberto, et al.. (2021). An Improved Tool for Detection of XSS Attacks by Combining CNN with LSTM. 1–8. 5 indexed citations
5.
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
6.
Hirata, Roberto, et al.. (2021). Dissecting the High-Frequency Bias in Convolutional Neural Networks. 863–871. 16 indexed citations
7.
Li, Siyuan, Iago Breno Araujo, Wenqi Ren, et al.. (2019). Single Image Deraining: A Comprehensive Benchmark Analysis. 3833–3842. 239 indexed citations
8.
Hirata, Roberto, et al.. (2017). Cross product kernels for fuzzy set similarity. 1–6. 4 indexed citations
9.
Grynberg, Priscila, Danielle G. Passos-Silva, Marina de Moraes Mourão, et al.. (2012). Trypanosoma cruzi Gene Expression in Response to Gamma Radiation. PLoS ONE. 7(1). e29596–e29596. 9 indexed citations
10.
Meireles, Sibele I., Roberto Hirata, Suraj Peri, et al.. (2010). Early Changes in Gene Expression Induced by Tobacco Smoke: Evidence for the Importance of Estrogen within Lung Tissue. Cancer Prevention Research. 3(6). 707–717. 49 indexed citations
11.
Termini, Lara, Enrique Boccardo, Roberto Hirata, et al.. (2008). Characterization of global transcription profile of normal and HPV-immortalized keratinocytes and their response to TNF treatment. BMC Medical Genomics. 1(1). 29–29. 27 indexed citations
12.
Vaquero, Daniel, Júnior Barrera, & Roberto Hirata. (2007). An entropy minimization approach for designing W-operators.. Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research). 43–44. 1 indexed citations
13.
Hirata, Nina S. T., Roberto Hirata, & Júnior Barrera. (2007). Basis Computation Algorithms.. Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research). 15–26. 3 indexed citations
14.
Hirata, Roberto, et al.. (2007). A morphological gradient-based method to motion segmentation.. Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research). 71–72.
15.
Stolf, Beatriz Simonsen, Daniel Simão, Elier B. Cristo, et al.. (2006). Class distinction between follicular adenomas and follicular carcinomas of the thyroid gland on the basis of their signature expression. Cancer. 106(9). 1891–1900. 21 indexed citations
16.
Stolf, Beatriz Simonsen, Waleska K. Martins, Marcos Brasilino de Carvalho, et al.. (2005). Expression profile of malignant and non-malignant diseases of the thyroid gland reveals altered expression of a common set of genes in goiter and papillary carcinomas. Cancer Letters. 227(1). 59–73. 10 indexed citations
17.
Meireles, Sibele I., Elier B. Cristo, Alex F. Carvalho, et al.. (2004). Molecular Classifiers for Gastric Cancer and Nonmalignant Diseases of the Gastric Mucosa. Cancer Research. 64(4). 1255–1265. 40 indexed citations
18.
Meireles, Sibele I., Alex F. Carvalho, Roberto Hirata, et al.. (2003). Differentially expressed genes in gastric tumors identified by cDNA array. Cancer Letters. 190(2). 199–211. 19 indexed citations
19.
Gomes, Luciana I., Beatriz Simonsen Stolf, Elier B. Cristo, et al.. (2003). Comparative analysis of amplified and nonamplified RNA for hybridization in cDNA microarray. Analytical Biochemistry. 321(2). 244–251. 50 indexed citations
20.
Stolf, Beatriz Simonsen, Alex F. Carvalho, Waleska K. Martins, et al.. (2003). Differential expression of IGFBP-5 and two human ESTs in thyroid glands with goiter, adenoma and papillary or follicular carcinomas. Cancer Letters. 191(2). 193–202. 21 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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