Tiago Ferreto

1.5k total citations · 1 hit paper
53 papers, 930 citations indexed

About

Tiago Ferreto is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Tiago Ferreto has authored 53 papers receiving a total of 930 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Networks and Communications, 32 papers in Information Systems and 10 papers in Hardware and Architecture. Recurrent topics in Tiago Ferreto's work include Cloud Computing and Resource Management (30 papers), IoT and Edge/Fog Computing (22 papers) and Distributed and Parallel Computing Systems (13 papers). Tiago Ferreto is often cited by papers focused on Cloud Computing and Resource Management (30 papers), IoT and Edge/Fog Computing (22 papers) and Distributed and Parallel Computing Systems (13 papers). Tiago Ferreto collaborates with scholars based in Brazil, United States and Australia. Tiago Ferreto's co-authors include César A. F. De Rose, Rodrigo N. Calheiros, Fábio Diniz Rossi, Marco A. S. Netto, Miguel G. Xavier, Marcelo Veiga Neves, Miguel Neves, Vinicius Facco Rodrigues, Luis C. E. Bona and Rodrigo da Rosa Righi and has published in prestigious journals such as Frontiers in Immunology, ACM Computing Surveys and Future Generation Computer Systems.

In The Last Decade

Tiago Ferreto

45 papers receiving 866 citations

Hit Papers

Performance Evaluation of Container-Based Virtualization ... 2013 2026 2017 2021 2013 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Performance Evaluation of Container-Based Virtualization for High Performance Computing Environments
    2013 288 citations Miguel G. Xavier, Fábio Diniz Rossi et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tiago Ferreto Brazil 13 761 664 112 92 82 53 930
Peijin Cong China 13 431 0.6× 318 0.5× 147 1.3× 88 1.0× 110 1.3× 26 653
Sivadon Chaisiri Singapore 11 751 1.0× 763 1.1× 88 0.8× 29 0.3× 99 1.2× 26 926
Awadhesh Kumar Singh India 14 478 0.6× 296 0.4× 108 1.0× 61 0.7× 95 1.2× 95 681
Sara Alspaugh United States 11 808 1.1× 744 1.1× 145 1.3× 133 1.4× 104 1.3× 14 1.0k
Xiaojun Ruan United States 14 722 0.9× 632 1.0× 55 0.5× 228 2.5× 87 1.1× 59 874
Marc Sánchez‐Artigas Spain 15 604 0.8× 424 0.6× 100 0.9× 24 0.3× 87 1.1× 63 727
David Bermbach Germany 17 702 0.9× 558 0.8× 44 0.4× 32 0.3× 72 0.9× 72 821
Nikos Tziritas Greece 14 677 0.9× 592 0.9× 91 0.8× 81 0.9× 100 1.2× 65 912
Ermeson Andrade Brazil 14 345 0.5× 278 0.4× 93 0.8× 56 0.6× 90 1.1× 94 602
Radhika Mittal United States 12 1.2k 1.6× 671 1.0× 369 3.3× 117 1.3× 79 1.0× 29 1.3k

Countries citing papers authored by Tiago Ferreto

Since Specialization
Citations

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

Fields of papers citing papers by Tiago Ferreto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiago Ferreto

This figure shows the co-authorship network connecting the top 25 collaborators of Tiago Ferreto. A scholar is included among the top collaborators of Tiago Ferreto 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 Tiago Ferreto. Tiago Ferreto 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.
Ferreto, Tiago, et al.. (2025). Multi‐Objective Dynamic Registry Provisioning in Edge Computing Infrastructures. Concurrency and Computation Practice and Experience. 37(4-5).
2.
Ferreto, Tiago, et al.. (2024). Maintenance Operations on Cloud, Edge, and IoT Environments: Taxonomy, Survey, and Research Challenges. ACM Computing Surveys. 56(10). 1–38. 7 indexed citations
3.
Assunção, Marcos Dias de, et al.. (2024). Lapse: Latency & Power-Aware Placement of Data Stream Applications on Edge Computing. Espace ÉTS (ETS). 358–366.
4.
Ferreto, Tiago, et al.. (2023). Reducing Power Consumption during Server Maintenance on Edge Computing Infrastructures. 691–698. 3 indexed citations
5.
Ferreto, Tiago, et al.. (2023). EdgeSimPy: Python-based modeling and simulation of edge computing resource management policies. Future Generation Computer Systems. 148. 446–459. 22 indexed citations
6.
Ferreto, Tiago, et al.. (2023). Dynamic Provisioning of Container Registries in Edge Computing Infrastructures. 85–96. 4 indexed citations
7.
Ferreto, Tiago, et al.. (2022). Location-Aware Maintenance Strategies for Edge Computing Infrastructures. IEEE Communications Letters. 26(4). 848–852. 10 indexed citations
8.
Ferreto, Tiago, et al.. (2022). Latency-aware Privacy-preserving Service Migration in Federated Edges. 288–295. 3 indexed citations
9.
Neves, Miguel, et al.. (2022). Predicting and Avoiding SLA Violations of Containerized Applications using Machine Learning and Elasticity. PUCRS Repository (Pontifical Catholic University of Rio Grande do Sul). 74–85. 1 indexed citations
10.
11.
Rossi, Fábio Diniz, et al.. (2020). Evaluating Energy and Thermal Efficiency of Anomaly Detection Algorithms in Edge Devices. 16. 208–213. 3 indexed citations
12.
Rossi, Fábio Diniz, et al.. (2019). Multilevel resource allocation for performance-aware energy-efficient cloud data centers. 1 indexed citations
13.
14.
Ferreto, Tiago, et al.. (2019). DDoS on Sketch: Spoofed DDoS attack defense with programmable data plans using sketches in SDN. 805–819. 3 indexed citations
15.
Rossi, Fábio Diniz, et al.. (2019). An approach for children's emergent literacy adaptive activities. 489–498. 1 indexed citations
16.
Ferreto, Tiago, et al.. (2018). Simulators Usage Analysis to Estimate Power Consumption in Cloud Computing Environments. 70–76. 2 indexed citations
17.
Ferreto, Tiago, et al.. (2014). Evaluating the Trade-off between DVFS Energy-savings and Virtual Networks Performance. 274–279. 3 indexed citations
18.
Ferreto, Tiago, et al.. (2013). Avaliação do suporte à simulação de redes OpenFlow no NS-3.
19.
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
20.
Rose, César A. F. De, et al.. (2006). GerpavGrid: using the Grid to maintain the city road system. 73–80. 2 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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