Sérgio Bampi

4.6k total citations
444 papers, 3.2k citations indexed

About

Sérgio Bampi is a scholar working on Electrical and Electronic Engineering, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sérgio Bampi has authored 444 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 240 papers in Electrical and Electronic Engineering, 204 papers in Signal Processing and 155 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sérgio Bampi's work include Video Coding and Compression Technologies (158 papers), Analog and Mixed-Signal Circuit Design (139 papers) and Low-power high-performance VLSI design (126 papers). Sérgio Bampi is often cited by papers focused on Video Coding and Compression Technologies (158 papers), Analog and Mixed-Signal Circuit Design (139 papers) and Low-power high-performance VLSI design (126 papers). Sérgio Bampi collaborates with scholars based in Brazil, United States and Germany. Sérgio Bampi's co-authors include Eduardo Costa, Hamilton Klimach, Bruno Zatt, Luciano Agostini, Guilherme Paim, Jörg Henkel, Cláudio Diniz, Muhammad Shafique, Mateus Grellert and Altamiro Susin and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Microwave Theory and Techniques.

In The Last Decade

Sérgio Bampi

403 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sérgio Bampi Brazil 25 1.6k 1.3k 1.1k 934 359 444 3.2k
Chen‐Yi Lee Taiwan 35 2.6k 1.7× 936 0.7× 867 0.8× 1.5k 1.6× 341 0.9× 283 4.5k
Xiaoyang Zeng China 20 1.1k 0.7× 589 0.5× 756 0.7× 384 0.4× 321 0.9× 330 2.3k
Masahiko Yoshimoto Japan 20 1.2k 0.8× 382 0.3× 499 0.5× 429 0.5× 389 1.1× 240 2.1k
Tinoosh Mohsenin United States 26 1.5k 0.9× 408 0.3× 495 0.5× 331 0.4× 592 1.6× 146 2.9k
An-Yeu Wu Taiwan 31 1.7k 1.1× 424 0.3× 170 0.2× 391 0.4× 507 1.4× 249 3.0k
Hani Saleh United Arab Emirates 23 1.0k 0.6× 152 0.1× 147 0.1× 584 0.6× 267 0.7× 155 1.8k
Mahmoud Al‐Qutayri United Arab Emirates 27 1.4k 0.9× 165 0.1× 196 0.2× 329 0.4× 271 0.8× 215 2.5k
Shreyas Sen United States 29 1.6k 1.0× 204 0.2× 360 0.3× 1.1k 1.1× 695 1.9× 210 2.9k
Pasquale Corsonello Italy 24 1.4k 0.9× 107 0.1× 338 0.3× 645 0.7× 340 0.9× 166 2.0k
Claudio Turchetti Italy 23 604 0.4× 156 0.1× 196 0.2× 439 0.5× 251 0.7× 161 1.8k

Countries citing papers authored by Sérgio Bampi

Since Specialization
Citations

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

Fields of papers citing papers by Sérgio Bampi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sérgio Bampi

This figure shows the co-authorship network connecting the top 25 collaborators of Sérgio Bampi. A scholar is included among the top collaborators of Sérgio Bampi 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 Sérgio Bampi. Sérgio Bampi 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.
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.
2.
Toledo, Pedro, Paolo Crovetti, Hamilton Klimach, Francesco Musolino, & Sérgio Bampi. (2022). Low-Voltage, Low-Area, nW-Power CMOS Digital-Based Biosignal Amplifier. IEEE Access. 10. 44106–44115. 17 indexed citations
3.
Agostini, Luciano, et al.. (2021). FastInter360: A Fast Inter Mode Decision for HEVC 360 Video Coding. IEEE Transactions on Circuits and Systems for Video Technology. 32(5). 3235–3249. 13 indexed citations
4.
Paim, Guilherme, et al.. (2021). Approximate Pruned and Truncated Haar Discrete Wavelet Transform VLSI Hardware for Energy-Efficient ECG Signal Processing. IEEE Transactions on Circuits and Systems I Regular Papers. 68(5). 1814–1826. 39 indexed citations
5.
Toledo, Pedro, Paolo Crovetti, Hamilton Klimach, et al.. (2021). A 300mV-Supply, Sub-nW-Power Digital-Based Operational Transconductance Amplifier. IEEE Transactions on Circuits & Systems II Express Briefs. 68(9). 3073–3077. 27 indexed citations
6.
Zatt, Bruno, et al.. (2020). Energy-Throughput Configurable Design for Video Processing Binary Arithmetic Encoder. IEEE Transactions on Circuits and Systems for Video Technology. 31(3). 1163–1177. 5 indexed citations
7.
Toledo, Pedro, Paolo Crovetti, Hamilton Klimach, & Sérgio Bampi. (2020). Dynamic and Static Calibration of Ultra-Low-Voltage, Digital-Based Operational Transconductance Amplifiers. Electronics. 9(6). 983–983. 14 indexed citations
8.
Bampi, Sérgio, et al.. (2020). Two Transistors Voltage-Measurement-Based Test Structure for Fast MOSFET Device Mismatch Characterization. IEEE Transactions on Semiconductor Manufacturing. 33(2). 166–173.
9.
Zatt, Bruno, et al.. (2019). Residual Syntax Elements Analysis and Design Targeting High-Throughput HEVC CABAC. IEEE Transactions on Circuits and Systems I Regular Papers. 67(2). 475–488. 15 indexed citations
10.
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
11.
Zatt, Bruno, et al.. (2016). Low-power hardware design for the HEVC binary arithmetic encoder targeting 8K videos. 1–6. 5 indexed citations
12.
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
13.
Wirth, Gilson, et al.. (2012). Curvature correction method based on subthreshold currents for bandgap voltage references. 1–4. 6 indexed citations
14.
Güntzel, José Luís, et al.. (2008). Projeto de Hardware para a Compensação de Movimento do Padrão H.264/AVC de Compressão de Vídeo. 30(58).
15.
Agostini, Luciano, et al.. (2007). Forward and inverse 2-D DCT architectures targeting HDTV for H.264/AVC video compression standard. Latin American Applied Research - An international journal. 37(1). 11–16.
16.
Bampi, Sérgio, et al.. (2003). LIT - An Automatic Layout Generation Tool for Trapezoidal Association of Transistors for Basic Analog Building Blocks. Design, Automation, and Test in Europe. 11106–11107. 10 indexed citations
17.
Costa, Eduardo, Sérgio Bampi, & José Monteiro. (2002). A new architecture for 2's complement Gray encoded array multiplier. 14–19. 8 indexed citations
18.
Agostini, Luciano, et al.. (2002). Pipelined entropy coders for JPEG compression. 203–208. 5 indexed citations
19.
Agostini, Luciano, et al.. (2000). SisECO: Design of an Echo-Canceling IC for Base Band Modems. 216–221. 1 indexed citations
20.
Rossetti, Rosaldo J. F. & Sérgio Bampi. (1998). A SOFTWARE ENVIRONMENT TO INTEGRATE URBAN TRAFFIC SIMULATION TASKS. Lume (Universidade Federal do Rio Grande do Sul). 12 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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