Miguel G. Xavier

803 total citations · 1 hit paper
20 papers, 531 citations indexed

About

Miguel G. Xavier is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Miguel G. Xavier has authored 20 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 16 papers in Information Systems and 5 papers in Hardware and Architecture. Recurrent topics in Miguel G. Xavier's work include Cloud Computing and Resource Management (16 papers), Distributed and Parallel Computing Systems (7 papers) and Advanced Data Storage Technologies (7 papers). Miguel G. Xavier is often cited by papers focused on Cloud Computing and Resource Management (16 papers), Distributed and Parallel Computing Systems (7 papers) and Advanced Data Storage Technologies (7 papers). Miguel G. Xavier collaborates with scholars based in Brazil, Australia and Italy. Miguel G. Xavier's co-authors include César A. F. De Rose, Marcelo Veiga Neves, Fábio Diniz Rossi, Tiago Ferreto, Rodrigo N. Calheiros, Rajkumar Buyya, Sergio Gusmeroli, Mário A. R. Dantas, Sílvia Modesto Nassar and André G. S. Conceição and has published in prestigious journals such as Sensors, Journal of Network and Computer Applications and Concurrency and Computation Practice and Experience.

In The Last Decade

Miguel G. Xavier

20 papers receiving 504 citations

Hit Papers

Performance Evaluation of Container-Based Virtualization ... 2013 2026 2017 2021 2013 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miguel G. Xavier Brazil 7 438 410 65 38 27 20 531
Marcelo Veiga Neves Brazil 6 372 0.8× 332 0.8× 69 1.1× 40 1.1× 32 1.2× 9 454
Per-Olov Östberg Sweden 12 379 0.9× 292 0.7× 47 0.7× 57 1.5× 56 2.1× 44 494
Jörg Domaschka Germany 12 323 0.7× 302 0.7× 24 0.4× 56 1.5× 23 0.9× 55 438
Spyridon V. Gogouvitis Greece 11 316 0.7× 287 0.7× 23 0.4× 56 1.5× 37 1.4× 33 418
Kuo-Qin Yan Taiwan 10 471 1.1× 286 0.7× 41 0.6× 59 1.6× 50 1.9× 39 550
Ajay Mohindra United States 12 406 0.9× 340 0.8× 56 0.9× 105 2.8× 18 0.7× 42 547
Nan Deng United States 9 387 0.9× 369 0.9× 102 1.6× 46 1.2× 69 2.6× 12 467
Yongqiang Gao China 10 624 1.4× 616 1.5× 33 0.5× 70 1.8× 40 1.5× 40 754
Hamid Reza Faragardi Sweden 13 396 0.9× 272 0.7× 75 1.2× 42 1.1× 90 3.3× 35 492
Jorge Ejarque Spain 10 416 0.9× 377 0.9× 83 1.3× 44 1.2× 31 1.1× 47 508

Countries citing papers authored by Miguel G. Xavier

Since Specialization
Citations

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

Fields of papers citing papers by Miguel G. Xavier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miguel G. Xavier. 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 Miguel G. Xavier. The network helps show where Miguel G. Xavier may publish in the future.

Co-authorship network of co-authors of Miguel G. Xavier

This figure shows the co-authorship network connecting the top 25 collaborators of Miguel G. Xavier. A scholar is included among the top collaborators of Miguel G. Xavier 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 Miguel G. Xavier. Miguel G. Xavier 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.
Xavier, Miguel G., et al.. (2022). IntP: Quantifying cross-application interference via system-level instrumentation. PUCRS Repository (Pontifical Catholic University of Rio Grande do Sul). 231–240. 1 indexed citations
2.
Nassar, Sílvia Modesto, Sergio Gusmeroli, André G. S. Conceição, et al.. (2020). FASTEN IIoT: An Open Real-Time Platform for Vertical, Horizontal and End-To-End Integration. Sensors. 20(19). 5499–5499. 30 indexed citations
3.
Xavier, Miguel G., et al.. (2020). Modeling and Simulation of QoS-Aware Power Budgeting in Cloud Data Centers. PUCRS Repository (Pontifical Catholic University of Rio Grande do Sul). 88–93. 2 indexed citations
4.
Xavier, Miguel G., et al.. (2019). A Preliminary Study of Machine Learning Workload Prediction Techniques for Cloud Applications. 222–227. 25 indexed citations
6.
Xavier, Miguel G., et al.. (2018). Optimizing multi‐tier application performance with interference and affinity‐aware placement algorithms. Concurrency and Computation Practice and Experience. 31(18). 6 indexed citations
7.
Geyer, Cláudio Fernando Resin, et al.. (2018). Understanding and Minimizing Disk Contention Effects for Data-Intensive Processing in Virtualized Systems. 901–908. 6 indexed citations
8.
Xavier, Miguel G., et al.. (2017). Mobile Application Testing on Clouds: Challenges, Opportunities and Architectural Elements. 181–185. 3 indexed citations
9.
Rossi, Fábio Diniz, Miguel G. Xavier, César A. F. De Rose, Rodrigo N. Calheiros, & Rajkumar Buyya. (2016). E-eco: Performance-aware energy-efficient cloud data center orchestration. Journal of Network and Computer Applications. 78. 83–96. 33 indexed citations
10.
Xavier, Miguel G., et al.. (2016). Understanding performance interference in multi-tenant cloud databases and web applications. 2847–2852. 6 indexed citations
11.
Xavier, Miguel G., Fábio Diniz Rossi, César A. F. De Rose, Rodrigo N. Calheiros, & Danielo G. Gomes. (2016). Modeling and simulation of global and sleep states in ACPI‐compliant energy‐efficient cloud environments. Concurrency and Computation Practice and Experience. 29(4). 6 indexed citations
12.
Rossi, Fábio Diniz, et al.. (2015). On the Impact of Energy-Efficient Strategies in HPC Clusters. 17–21. 1 indexed citations
13.
Xavier, Miguel G., et al.. (2015). A Performance Isolation Analysis of Disk-Intensive Workloads on Container-Based Clouds. 253–260. 51 indexed citations
14.
Xavier, Miguel G., et al.. (2014). Towards better manageability of database clusters on cloud computing platforms. 366–367. 1 indexed citations
15.
Rossi, Fábio Diniz, et al.. (2014). Green software development for multi-core architectures. 2009. 1–6. 2 indexed citations
16.
Dias, Raquel, Miguel G. Xavier, Fábio Diniz Rossi, et al.. (2014). MPI-blastn and NCBI-TaxCollector: Improving metagenomic analysis with high performance classification and wide taxonomic attachment. Journal of Bioinformatics and Computational Biology. 12(3). 1450013–1450013. 8 indexed citations
17.
Xavier, Miguel G., Marcelo Veiga Neves, & César A. F. De Rose. (2014). A Performance Comparison of Container-Based Virtualization Systems for MapReduce Clusters. 299–306. 57 indexed citations
18.
Xavier, Miguel G., et al.. (2013). Optimizing the management of a database in a virtual environment. 2010. 594–599. 1 indexed citations
19.
Xavier, Miguel G., et al.. (2013). Performance Evaluation of Container-Based Virtualization for High Performance Computing Environments. 233–240. 288 indexed citations breakdown →
20.
Rossi, Fábio Diniz, et al.. (2012). Performance Evaluation of Virtualization Technologies for Databases in HPC Environments. PUCRS Repository (Pontifical Catholic University of Rio Grande do Sul). 88–94. 1 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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