Frederico Pratas

454 total citations
24 papers, 297 citations indexed

About

Frederico Pratas is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Frederico Pratas has authored 24 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Hardware and Architecture, 12 papers in Computer Networks and Communications and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Frederico Pratas's work include Parallel Computing and Optimization Techniques (10 papers), Advanced Data Storage Technologies (6 papers) and Low-power high-performance VLSI design (3 papers). Frederico Pratas is often cited by papers focused on Parallel Computing and Optimization Techniques (10 papers), Advanced Data Storage Technologies (6 papers) and Low-power high-performance VLSI design (3 papers). Frederico Pratas collaborates with scholars based in Portugal, Germany and Cyprus. Frederico Pratas's co-authors include Leonel Sousa, Aleksandar Ilić, Pedro Trancoso, Alexandros Stamatakis, André M. da Costa Lopes, Gabriel Falcão, Pedro Tomás, João Andrade, Vítor Silva and Ricardo A. Mata and has published in prestigious journals such as The Journal of Chemical Physics, IEEE Access and IEEE Transactions on Computers.

In The Last Decade

Frederico Pratas

23 papers receiving 291 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frederico Pratas Portugal 9 159 149 58 55 39 24 297
Katherine Yelick United States 8 266 1.7× 256 1.7× 36 0.6× 147 2.7× 44 1.1× 14 498
María J. Martín Spain 14 158 1.0× 237 1.6× 45 0.8× 68 1.2× 96 2.5× 81 529
A. J. Field United Kingdom 10 44 0.3× 82 0.6× 17 0.3× 24 0.4× 18 0.5× 27 242
Maribel Castillo Spain 9 150 0.9× 119 0.8× 32 0.6× 24 0.4× 49 1.3× 44 278
Rick Weber United States 4 154 1.0× 129 0.9× 33 0.6× 16 0.3× 20 0.5× 9 292
Dionysios Diamantopoulos Switzerland 9 113 0.7× 95 0.6× 68 1.2× 22 0.4× 21 0.5× 36 229
Khaled Hamidouche United States 14 383 2.4× 434 2.9× 98 1.7× 20 0.4× 134 3.4× 53 648
Esteban Meneses Costa Rica 11 220 1.4× 298 2.0× 69 1.2× 8 0.1× 140 3.6× 43 378
Haixiang Shi Singapore 12 12 0.1× 134 0.9× 45 0.8× 77 1.4× 14 0.4× 20 284
J.A. Kohl United States 10 109 0.7× 190 1.3× 6 0.1× 9 0.2× 45 1.2× 18 310

Countries citing papers authored by Frederico Pratas

Since Specialization
Citations

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

Fields of papers citing papers by Frederico Pratas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frederico Pratas

This figure shows the co-authorship network connecting the top 25 collaborators of Frederico Pratas. A scholar is included among the top collaborators of Frederico Pratas 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 Frederico Pratas. Frederico Pratas 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.
Andrade, João, Nithin V. George, Kimon Karras, et al.. (2017). Design Space Exploration of LDPC Decoders Using High-Level Synthesis. IEEE Access. 5. 14600–14615. 19 indexed citations
2.
Lopes, André M. da Costa, Frederico Pratas, Leonel Sousa, & Aleksandar Ilić. (2017). Exploring GPU performance, power and energy-efficiency bounds with Cache-aware Roofline Modeling. 259–268. 28 indexed citations
3.
Pratas, Frederico, et al.. (2016). MrBayes sMC3. The International Journal of High Performance Computing Applications. 32(2). 246–265. 3 indexed citations
4.
Pratas, Frederico, et al.. (2016). Efficient parallelization of perturbative Monte Carlo QM/MM simulations in heterogeneous platforms. The International Journal of High Performance Computing Applications. 31(6). 499–516. 3 indexed citations
5.
Ilić, Aleksandar, Frederico Pratas, & Leonel Sousa. (2016). Beyond the Roofline: Cache-Aware Power and Energy-Efficiency Modeling for Multi-Cores. IEEE Transactions on Computers. 66(1). 52–58. 15 indexed citations
6.
Nunes, Rúben, Leonardo Azevedo, A. Soares, et al.. (2015). Acceleration of stochastic seismic inversion in OpenCL-based heterogeneous platforms. Computers & Geosciences. 78. 26–36. 13 indexed citations
7.
Neves, José, et al.. (2014). Accelerating Phylogenetic Inference on GPUs: an OpenACC and CUDA comparison.. 589–600. 5 indexed citations
8.
Andrade, João, Frederico Pratas, Gabriel Falcão, Vítor Silva, & Leonel Sousa. (2014). Combining flexibility with low power: Dataflow and wide-pipeline LDPC decoding engines in the Gbit/s era. 264–269. 8 indexed citations
9.
Pratas, Frederico, et al.. (2014). Method for Designing Efficient Mixed Radix Multipliers. Circuits Systems and Signal Processing. 33(10). 3165–3193. 4 indexed citations
10.
Pratas, Frederico, et al.. (2014). Reconfigurable data flow engine for HEVC motion estimation. 1223–1227. 8 indexed citations
11.
Ilić, Aleksandar, Frederico Pratas, & Leonel Sousa. (2013). Cache-aware Roofline model: Upgrading the loft. IEEE Computer Architecture Letters. 13(1). 21–24. 75 indexed citations
12.
Pratas, Frederico, et al.. (2013). Accelerating the Computation of Induced Dipoles for Molecular Mechanics with Dataflow Engines. Zenodo (CERN European Organization for Nuclear Research). 177–180. 9 indexed citations
13.
Pratas, Frederico, et al.. (2013). HotStream: Efficient Data Streaming of Complex Patterns to Multiple Accelerating Kernels. 17–24. 6 indexed citations
14.
Pratas, Frederico, João Andrade, Gabriel Falcão, Vítor Silva, & Leonel Sousa. (2013). Open the Gates: Using High-level Synthesis towards programmable LDPC decoders on FPGAs. 1274–1277. 9 indexed citations
15.
Pratas, Frederico, Leonel Sousa, Johannes M. Dieterich, & Ricardo A. Mata. (2012). Computation of Induced Dipoles in Molecular Mechanics Simulations Using Graphics Processors. Journal of Chemical Information and Modeling. 52(5). 1159–1166. 3 indexed citations
16.
Ilić, Aleksandar, Frederico Pratas, Pedro Trancoso, & Leonel Sousa. (2011). High-Performance Computing on Heterogeneous Systems: Database Queries on CPU and GPU. 20. 202–222. 7 indexed citations
17.
Pratas, Frederico, Pedro Trancoso, Leonel Sousa, et al.. (2011). Fine-grain parallelism using multi-core, Cell/BE, and GPU Systems. Parallel Computing. 38(8). 365–390. 18 indexed citations
18.
Shi, Guochun, Volodymyr Kindratenko, Frederico Pratas, Pedro Trancoso, & Michael Gschwind. (2010). Application Acceleration with the Cell Broadband Engine. Computing in Science & Engineering. 12(1). 76–81. 4 indexed citations
19.
Pratas, Frederico, Pedro Trancoso, Alexandros Stamatakis, & Leonel Sousa. (2009). Fine-grain Parallelism Using Multi-core, Cell/BE, and GPU Systems: Accelerating the Phylogenetic Likelihood Function. 9–17. 44 indexed citations
20.
Pratas, Frederico, Georgi Gaydadjiev, Mladen Bereković, Leonel Sousa, & Stefanos Kaxiras. (2008). Low power microarchitecture with instruction reuse. 149–158. 3 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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