Márcio Castro

621 total citations
46 papers, 207 citations indexed

About

Márcio Castro is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Márcio Castro has authored 46 papers receiving a total of 207 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Networks and Communications, 27 papers in Hardware and Architecture and 18 papers in Information Systems. Recurrent topics in Márcio Castro's work include Parallel Computing and Optimization Techniques (25 papers), Cloud Computing and Resource Management (18 papers) and Distributed and Parallel Computing Systems (16 papers). Márcio Castro is often cited by papers focused on Parallel Computing and Optimization Techniques (25 papers), Cloud Computing and Resource Management (18 papers) and Distributed and Parallel Computing Systems (16 papers). Márcio Castro collaborates with scholars based in Brazil, France and United Kingdom. Márcio Castro's co-authors include Jean‐François Méhaut, Philippe O. A. Navaux, Luís F. W. Góes, Henrique Cota de Freitas, Fabrice Dupros, Murray Cole, Laércio Lima Pilla, Marcelo Cintra, François Broquedis and Hideo Aochi and has published in prestigious journals such as Journal of Parallel and Distributed Computing, Software Practice and Experience and Parallel Computing.

In The Last Decade

Márcio Castro

40 papers receiving 203 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Márcio Castro Brazil 9 144 119 54 32 19 46 207
Christian Pinto Ireland 8 194 1.3× 141 1.2× 114 2.1× 73 2.3× 14 0.7× 32 263
Nilanjan Goswami United States 9 252 1.8× 250 2.1× 63 1.2× 113 3.5× 20 1.1× 15 315
Jiayi Huang United States 9 126 0.9× 107 0.9× 21 0.4× 130 4.1× 47 2.5× 32 244
Georgios P. Katsikas Greece 7 235 1.6× 61 0.5× 63 1.2× 96 3.0× 16 0.8× 16 288
Seung Eun Lee United States 10 218 1.5× 151 1.3× 24 0.4× 112 3.5× 11 0.6× 22 271
Manoj Krishnan United States 8 145 1.0× 143 1.2× 44 0.8× 10 0.3× 17 0.9× 15 243
Alberto Scionti Italy 11 114 0.8× 119 1.0× 33 0.6× 91 2.8× 24 1.3× 35 236
Larry Dennison United States 11 166 1.2× 95 0.8× 48 0.9× 152 4.8× 38 2.0× 20 286
Stéphane Devismes France 10 214 1.5× 50 0.4× 13 0.2× 9 0.3× 16 0.8× 45 227
Jipeng Zhou China 10 311 2.2× 66 0.6× 122 2.3× 78 2.4× 25 1.3× 42 337

Countries citing papers authored by Márcio Castro

Since Specialization
Citations

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

Fields of papers citing papers by Márcio Castro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Márcio Castro

This figure shows the co-authorship network connecting the top 25 collaborators of Márcio Castro. A scholar is included among the top collaborators of Márcio Castro 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 Márcio Castro. Márcio Castro 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
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Castro, Márcio, et al.. (2024). Comparing Burstable and On-Demand AWS EC2 Instances using NAS Parallel Benchmarks. 61–64. 1 indexed citations
3.
Castro, Márcio, et al.. (2024). Improving edge AI for industrial IoT applications with distributed learning using consensus. Design Automation for Embedded Systems. 28(1). 67–89. 1 indexed citations
4.
Castro, Márcio, et al.. (2024). Dynamic Load Balancing in Kubernetes Environments With Kubernetes Scheduling Extension (KSE). Concurrency and Computation Practice and Experience. 37(3).
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Castro, Márcio, et al.. (2023). Enabling the execution of HPC applications on public clouds with HPC@Cloud toolkit. Concurrency and Computation Practice and Experience. 36(8). 5 indexed citations
7.
Cordeiro, Daniel, et al.. (2023). Green Cloud Computing: Challenges and Opportunities. 129–131.
8.
Castro, Márcio, et al.. (2023). Evaluating the Parallel Simulation of Dynamics of Electrons in Molecules on AWS Spot Instances. 205–216. 2 indexed citations
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Castro, Márcio, et al.. (2022). HPC@Cloud: A Provider-Agnostic Software Framework for Enabling HPC in Public Cloud Platforms. 157–168. 3 indexed citations
11.
Castro, Márcio, et al.. (2021). ARTful: A model for user‐defined schedulers targeting multiple high‐performance computing runtime systems. Software Practice and Experience. 51(7). 1622–1638. 1 indexed citations
12.
Pilla, Laércio Lima, et al.. (2020). PackStealLB: A scalable distributed load balancer based on work stealing and workload discretization. Journal of Parallel and Distributed Computing. 150. 34–45. 3 indexed citations
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Dupros, Fabrice, et al.. (2017). Performance Improvement of Stencil Computations for Multi-core Architectures based on Machine Learning. Procedia Computer Science. 108. 305–314. 7 indexed citations
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Castro, Márcio, et al.. (2016). Design methodology for workload‐aware loop scheduling strategies based on genetic algorithm and simulation. Concurrency and Computation Practice and Experience. 29(22). 5 indexed citations
16.
Góes, Luís F. W., et al.. (2016). CAP Bench: a benchmark suite for performance and energy evaluation of low‐power many‐core processors. Concurrency and Computation Practice and Experience. 29(4). 11 indexed citations
17.
Castro, Márcio, et al.. (2016). Seismic wave propagation simulations on low-power and performance-centric manycores. Parallel Computing. 54. 108–120. 12 indexed citations
18.
Pilla, Laércio Lima, et al.. (2015). ComprehensiveBench: a Benchmark for the Extensive Evaluation of Global Scheduling Algorithms. Journal of Physics Conference Series. 649. 12007–12007. 2 indexed citations
19.
Castro, Márcio, et al.. (2014). On the energy efficiency and performance of irregular application executions on multicore, NUMA and manycore platforms. Journal of Parallel and Distributed Computing. 76. 32–48. 24 indexed citations
20.

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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