Mateus Grellert

748 total citations
77 papers, 510 citations indexed

About

Mateus Grellert is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Mateus Grellert has authored 77 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Signal Processing, 47 papers in Computer Vision and Pattern Recognition and 20 papers in Electrical and Electronic Engineering. Recurrent topics in Mateus Grellert's work include Video Coding and Compression Technologies (46 papers), Advanced Vision and Imaging (27 papers) and Advanced Data Compression Techniques (17 papers). Mateus Grellert is often cited by papers focused on Video Coding and Compression Technologies (46 papers), Advanced Vision and Imaging (27 papers) and Advanced Data Compression Techniques (17 papers). Mateus Grellert collaborates with scholars based in Brazil, Portugal and United States. Mateus Grellert's co-authors include Sérgio Bampi, Bruno Zatt, Guilherme Corrêa, Luciano Agostini, Cláudio Diniz, Guilherme Paim, Jörg Henkel, Muhammad Shafique, Luís A. da Silva Cruz and Muhammad Usman Karim Khan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Affective Disorders and Psychoneuroendocrinology.

In The Last Decade

Mateus Grellert

62 papers receiving 498 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mateus Grellert Brazil 12 368 354 104 41 38 77 510
Cláudio Diniz Brazil 12 287 0.8× 262 0.7× 170 1.6× 54 1.3× 17 0.4× 60 442
İlker Hamzaoğlu Türkiye 18 868 2.4× 857 2.4× 96 0.9× 36 0.9× 14 0.4× 86 1.0k
N. Demassieux France 6 186 0.5× 164 0.5× 84 0.8× 31 0.8× 19 0.5× 28 285
Ercan Kalalı Türkiye 14 389 1.1× 373 1.1× 46 0.4× 17 0.4× 7 0.2× 32 448
Marcelo Porto Brazil 13 762 2.1× 767 2.2× 118 1.1× 16 0.4× 20 0.5× 178 891
Dajiang Zhou Japan 14 412 1.1× 469 1.3× 164 1.6× 14 0.3× 42 1.1× 68 611
P.A. Ruetz United States 9 155 0.4× 162 0.5× 99 1.0× 44 1.1× 50 1.3× 22 312
V.A. Chouliaras United Kingdom 11 129 0.4× 105 0.3× 73 0.7× 55 1.3× 24 0.6× 44 298
Chung-Jr Lian Taiwan 13 494 1.3× 580 1.6× 30 0.3× 9 0.2× 82 2.2× 31 632
Mengmeng Zhang China 10 271 0.7× 322 0.9× 20 0.2× 22 0.5× 26 0.7× 97 407

Countries citing papers authored by Mateus Grellert

Since Specialization
Citations

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

Fields of papers citing papers by Mateus Grellert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mateus Grellert

This figure shows the co-authorship network connecting the top 25 collaborators of Mateus Grellert. A scholar is included among the top collaborators of Mateus Grellert 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 Mateus Grellert. Mateus Grellert 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.
Fröhlich, Antônio Augusto, et al.. (2025). An LSTM approach to predict emergency events using spatial features. Applied Intelligence. 55(5).
2.
Grellert, Mateus, et al.. (2024). A Design Framework for Neural Network Architecture Exploration. 158. 1–5.
3.
Diniz, Cláudio, et al.. (2024). A Survey on Approximate Computing and Storage Techniques Applied to Video Coding Systems. Journal of Integrated Circuits and Systems. 19(3). 1–20.
4.
Grellert, Mateus, et al.. (2024). Energy-Efficient Interpolation Filter Design for VVC Encoders Using Cross-Layer Approximate Computing. Journal of Integrated Circuits and Systems. 19(3). 1–11.
5.
Carteri, Randhall Bruce, et al.. (2024). Shock index and its variants as predictors of mortality in severe traumatic brain injury. World Journal of Critical Care Medicine. 13(1). 90617–90617. 2 indexed citations
6.
Güntzel, José Luís, et al.. (2024). A Dual-Kernel Size-Configurable Gaussian Filter Architecture. 1–5.
8.
Jansen, Karen, Mateus Grellert, Jean Pierre Oses, et al.. (2023). Biological rhythms disruption mediates the association between mother's diagnosis of bipolar disorder and offspring's emotional/behavioral problems. Journal of Affective Disorders. 327. 230–235.
9.
Grellert, Mateus, et al.. (2023). Fast and Low-Error Prediction of Logic Gate Cell Characterization. 1–4. 2 indexed citations
11.
Grellert, Mateus, Hudson W. de Carvalho, Karen Jansen, et al.. (2022). Temperament traits mediate the relationship between CACNA1C polymorphisms and bipolar disorder in cisgender women. European Archives of Psychiatry and Clinical Neuroscience. 273(1). 41–50. 1 indexed citations
12.
Ardais, Ana Paula, Mateus Grellert, Hudson W. de Carvalho, et al.. (2020). Temperament traits moderate the relationship between Childhood Trauma and Interleukin 1β profile in young adults. Psychoneuroendocrinology. 116. 104671–104671. 4 indexed citations
13.
Paim, Guilherme, et al.. (2020). Exploring high-order adder compressors for power reduction in sum of absolute differences architectures for real-time UHD video encoding. Journal of Real-Time Image Processing. 17(5). 1735–1754. 10 indexed citations
14.
Grellert, Mateus, et al.. (2019). Quality and Energy-Aware HEVC Transrating Based on Machine Learning. IEEE Transactions on Circuits and Systems I Regular Papers. 66(6). 2124–2136. 4 indexed citations
15.
Grellert, Mateus, et al.. (2019). Coding Tree Early Termination for Fast HEVC Transrating Based on Random Forests. 20. 1802–1806. 2 indexed citations
16.
Grellert, Mateus, Bruno Zatt, Sérgio Bampi, & Luís A. da Silva Cruz. (2018). Fast Coding Unit Partition Decision for HEVC Using Support Vector Machines. IEEE Transactions on Circuits and Systems for Video Technology. 29(6). 1741–1753. 39 indexed citations
17.
Grellert, Mateus, et al.. (2018). Fast HEVC Transrating using Random Forests. 1–4. 2 indexed citations
18.
Grellert, Mateus, et al.. (2016). Energy-aware cache assessment of HEVC decoding. 574–577. 1 indexed citations
19.
Grellert, Mateus, et al.. (2015). Rate-distortion and energy performance of HEVC and H.264/AVC encoders: A comparative analysis. 1278–1281. 14 indexed citations
20.
Grellert, Mateus, et al.. (2011). A multilevel data reuse scheme for Motion Estimation and its VLSI design. 16. 583–586. 8 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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