Daniel Oliveira

691 total citations
33 papers, 543 citations indexed

About

Daniel Oliveira is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, Daniel Oliveira has authored 33 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Electrical and Electronic Engineering, 24 papers in Hardware and Architecture and 15 papers in Computer Networks and Communications. Recurrent topics in Daniel Oliveira's work include Radiation Effects in Electronics (26 papers), Parallel Computing and Optimization Techniques (20 papers) and Distributed systems and fault tolerance (11 papers). Daniel Oliveira is often cited by papers focused on Radiation Effects in Electronics (26 papers), Parallel Computing and Optimization Techniques (20 papers) and Distributed systems and fault tolerance (11 papers). Daniel Oliveira collaborates with scholars based in Brazil, United States and Slovakia. Daniel Oliveira's co-authors include Paolo Rech, Philippe O. A. Navaux, Laércio Lima Pilla, Luigi Carro, Thiago Santini, Fernando Fernandes dos Santos, Nathan DeBardeleben, Devesh Tiwari, Saurabh Gupta and James Rogers and has published in prestigious journals such as IEEE Transactions on Computers, IEEE Transactions on Nuclear Science and Microelectronics Reliability.

In The Last Decade

Daniel Oliveira

30 papers receiving 535 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Oliveira Brazil 12 411 276 226 119 60 33 543
Laércio Lima Pilla Brazil 15 293 0.7× 345 1.3× 316 1.4× 106 0.9× 44 0.7× 46 568
Sean Blanchard United States 13 482 1.2× 353 1.3× 390 1.7× 123 1.0× 15 0.3× 40 693
Almudena Lindoso Spain 14 453 1.1× 356 1.3× 89 0.4× 39 0.3× 53 0.9× 62 552
Fernando Fernandes dos Santos Brazil 13 465 1.1× 219 0.8× 105 0.5× 210 1.8× 144 2.4× 44 612
Jeff Draper United States 13 519 1.3× 487 1.8× 321 1.4× 55 0.5× 28 0.5× 36 781
T. D. Loveless United States 24 1.5k 3.8× 743 2.7× 93 0.4× 148 1.2× 48 0.8× 86 1.7k
John Brunhaver United States 11 237 0.6× 176 0.6× 70 0.3× 71 0.6× 78 1.3× 21 374
Lazaros Papadopoulos Greece 9 100 0.2× 81 0.3× 85 0.4× 31 0.3× 33 0.6× 45 280
Amit Sabne United States 12 281 0.7× 184 0.7× 81 0.4× 89 0.7× 62 1.0× 20 524
Ian A. Troxel United States 11 93 0.2× 207 0.8× 186 0.8× 34 0.3× 11 0.2× 35 339

Countries citing papers authored by Daniel Oliveira

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Oliveira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Oliveira

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Oliveira. A scholar is included among the top collaborators of Daniel Oliveira 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 Daniel Oliveira. Daniel Oliveira 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.
2.
Oliveira, Daniel, et al.. (2022). QuFI: a Quantum Fault Injector to Measure the Reliability of Qubits and Quantum Circuits. Institutional Research Information System (Università degli Studi di Trento). 12 indexed citations
3.
Oliveira, Daniel, Elizabeth C. Auden, & Paolo Rech. (2022). Atmospheric Neutron-Induced Fault Generation and Propagation in Quantum Bits and Quantum Circuits. IEEE Transactions on Nuclear Science. 70(4). 345–353. 4 indexed citations
4.
Oliveira, Daniel, Fernando Fernandes dos Santos, Carlo Cazzaniga, et al.. (2020). High-Energy Versus Thermal Neutron Contribution to Processor and Memory Error Rates. IEEE Transactions on Nuclear Science. 67(6). 1161–1168. 15 indexed citations
5.
Oliveira, Daniel, Sean Blanchard, Nathan DeBardeleben, et al.. (2020). Thermal neutrons: a possible threat for supercomputer reliability. The Journal of Supercomputing. 77(2). 1612–1634. 8 indexed citations
6.
Oliveira, Daniel, Sean Blanchard, Nathan DeBardeleben, et al.. (2020). An Overview of the Risk Posed by Thermal Neutrons to the Reliability of Computing Devices. ePubs (Science and Technology Facilities Council, Research Councils UK). 14. 92–97. 1 indexed citations
7.
Oliveira, Daniel, et al.. (2019). Impact of Workload Distribution on Energy Consumption, Performance, and Reliability of Heterogeneous Devices. Institutional Research Information System (Università degli Studi di Trento). 13. 166–173.
8.
Oliveira, Daniel, Philippe O. A. Navaux, & Paolo Rech. (2019). Increasing the Efficiency and Efficacy of Selective-Hardening for Parallel Applications. Iris (University of Trento). 1–6. 2 indexed citations
9.
Oliveira, Daniel, et al.. (2019). SPADA. 50–58. 1 indexed citations
10.
Santos, Fernando Fernandes dos, et al.. (2019). Reliability Evaluation of Mixed-Precision Architectures. Iris (University of Trento). 238–249. 34 indexed citations
11.
Oliveira, Daniel, et al.. (2018). Code-Dependent and Architecture-Dependent Reliability Behaviors. Institutional Research Information System (Università degli Studi di Trento). 13–26. 39 indexed citations
12.
Oliveira, Daniel, et al.. (2018). Energy-Delay-FIT Product to compare processors and algorithm implementations. Microelectronics Reliability. 84. 112–120. 3 indexed citations
13.
Oliveira, Daniel, Laércio Lima Pilla, Mauricio Hanzich, et al.. (2017). Radiation-Induced Error Criticality in Modern HPC Parallel Accelerators. Iris (University of Trento). 577–588. 34 indexed citations
14.
Oliveira, Daniel, Laércio Lima Pilla, Nathan DeBardeleben, et al.. (2017). Experimental and analytical study of Xeon Phi reliability. Institutional Research Information System (Università degli Studi di Trento). 1–12. 40 indexed citations
15.
Quinn, Heather, et al.. (2017). Experimental and Analytical Analysis of Sorting Algorithms Error Criticality for HPC and Large Servers Applications. IEEE Transactions on Nuclear Science. 1–1. 3 indexed citations
16.
Oliveira, Daniel, Laércio Lima Pilla, Fernando Fernandes dos Santos, et al.. (2016). Input Size Effects on the Radiation-Sensitivity of Modern Parallel Processors. 1–6. 1 indexed citations
17.
Pilla, Laércio Lima, et al.. (2015). Memory Access Time and Input Size Effects on Parallel Processors Reliability. IEEE Transactions on Nuclear Science. 62(6). 2627–2634. 3 indexed citations
18.
Oliveira, Daniel, Paolo Rech, Laércio Lima Pilla, Philippe O. A. Navaux, & Luigi Carro. (2014). GPGPUs ECC efficiency and efficacy. Science and Technology Facilities Council. 18 indexed citations
19.
Velho, Pedro Isaacsson, et al.. (2013). Accurate Analytic Models to Estimate Execution Time on GPU Applications. 2 indexed citations
20.
Oliveira, Daniel, et al.. (2012). Evaluating Performance and Energy on ARM-based Clusters for High Performance Computing. 165–172. 11 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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