Marcelo Caggiani Luizelli

1.5k total citations · 1 hit paper
77 papers, 950 citations indexed

About

Marcelo Caggiani Luizelli is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Marcelo Caggiani Luizelli has authored 77 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Computer Networks and Communications, 22 papers in Information Systems and 22 papers in Electrical and Electronic Engineering. Recurrent topics in Marcelo Caggiani Luizelli's work include Software-Defined Networks and 5G (31 papers), Cloud Computing and Resource Management (22 papers) and Parallel Computing and Optimization Techniques (17 papers). Marcelo Caggiani Luizelli is often cited by papers focused on Software-Defined Networks and 5G (31 papers), Cloud Computing and Resource Management (22 papers) and Parallel Computing and Optimization Techniques (17 papers). Marcelo Caggiani Luizelli collaborates with scholars based in Brazil, United States and Israel. Marcelo Caggiani Luizelli's co-authors include Luciano Paschoal Gaspary, Marinho Barcellos, Luciana S. Buriol, Leonardo Richter Bays, Rodrigo R. Oliveira, Weverton Cordeiro, Fábio Diniz Rossi, Arthur F. Lorenzon, Danny Raz and Yaniv Saʼar and has published in prestigious journals such as IEEE Access, IEEE Communications Magazine and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Marcelo Caggiani Luizelli

62 papers receiving 931 citations

Hit Papers

Piecing together the NFV provisioning puzzle: Efficient p... 2015 2026 2018 2022 2015 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. Piecing together the NFV provisioning puzzle: Efficient placement and chaining of virtual network functions
    2015 295 citations Marcelo Caggiani Luizelli, Marinho Barcellos 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
Marcelo Caggiani Luizelli Brazil 14 839 411 204 93 66 77 950
George Xilouris Greece 17 695 0.8× 314 0.8× 146 0.7× 103 1.1× 53 0.8× 81 858
Andreas Blenk Germany 19 999 1.2× 475 1.2× 212 1.0× 43 0.5× 80 1.2× 81 1.1k
Simone Ferlin Sweden 16 1.0k 1.2× 605 1.5× 98 0.5× 124 1.3× 67 1.0× 42 1.2k
Ahmed Karmouch Canada 15 791 0.9× 386 0.9× 209 1.0× 87 0.9× 95 1.4× 88 917
Chuck Yoo South Korea 14 561 0.7× 188 0.5× 230 1.1× 116 1.2× 87 1.3× 124 737
David Hock Germany 14 933 1.1× 541 1.3× 120 0.6× 68 0.7× 75 1.1× 38 1.0k
David Lake United Kingdom 5 749 0.9× 289 0.7× 92 0.5× 37 0.4× 107 1.6× 8 821
Murat Karakuş United States 10 715 0.9× 280 0.7× 158 0.8× 27 0.3× 92 1.4× 38 831
Karl‐Johan Grinnemo Sweden 14 851 1.0× 548 1.3× 66 0.3× 60 0.6× 37 0.6× 73 946
Min Luo United States 13 952 1.1× 440 1.1× 157 0.8× 25 0.3× 130 2.0× 20 1.0k

Countries citing papers authored by Marcelo Caggiani Luizelli

Since Specialization
Citations

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

Fields of papers citing papers by Marcelo Caggiani Luizelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcelo Caggiani Luizelli. 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 Marcelo Caggiani Luizelli. The network helps show where Marcelo Caggiani Luizelli may publish in the future.

Co-authorship network of co-authors of Marcelo Caggiani Luizelli

This figure shows the co-authorship network connecting the top 25 collaborators of Marcelo Caggiani Luizelli. A scholar is included among the top collaborators of Marcelo Caggiani Luizelli 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 Marcelo Caggiani Luizelli. Marcelo Caggiani Luizelli 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.
Luizelli, Marcelo Caggiani, et al.. (2024). PIPO-TG: Parameterizable High-Performance Traffic Generation. Zenodo (CERN European Organization for Nuclear Research). 1–9. 3 indexed citations
3.
Luizelli, Marcelo Caggiani, et al.. (2024). MAPER: mobility-aware energy-efficient container registry migrations for edge computing infrastructures. The Journal of Supercomputing. 81(1). 2 indexed citations
4.
Luizelli, Marcelo Caggiani, et al.. (2024). DigiNet: Scaling up Provisioning of Network Digital Twin. Zenodo (CERN European Organization for Nuclear Research). 136–144. 1 indexed citations
5.
Luizelli, Marcelo Caggiani, et al.. (2024). Video Streaming QoE Meets Programmable Data Planes: The Case of In-Network QoE for 360°VR. IEEE Network. 39(2). 176–183.
6.
Luizelli, Marcelo Caggiani, et al.. (2024). Poster: Towards In-Network Resource Scaling of VNFs. 29–30.
7.
Lorenzon, Arthur F., et al.. (2023). Mobility-Aware Registry Migration for Containerized Applications on Edge Computing Infrastructures. Journal of Network and Computer Applications. 217. 103676–103676. 5 indexed citations
8.
Luizelli, Marcelo Caggiani, et al.. (2023). Demo of QoEyes: Towards Virtual Reality Streaming QoE Estimation Entirely in the Data Plane. Zenodo (CERN European Organization for Nuclear Research). 311–313.
9.
Lorenzon, Arthur F., et al.. (2023). Towards Optimizing the Edge-to-Cloud Continuum Resource Allocation. 90–99. 1 indexed citations
10.
11.
Luizelli, Marcelo Caggiani, et al.. (2020). Análise da Execução Concorrente de Aplicações Paralelas em Arquiteturas Multicore. 61–72. 1 indexed citations
12.
Lorenzon, Arthur F., et al.. (2020). Modeling Performance and Scalability of Cloud Services over Unikernels. International Journal of Computer Applications. 176(36). 1–6. 1 indexed citations
13.
Lorenzon, Arthur F., et al.. (2019). Orchestrating In-Band Data Plane Telemetry With Machine Learning. IEEE Communications Letters. 23(12). 2247–2251. 25 indexed citations
14.
Rossi, Fábio Diniz, et al.. (2019). Multilevel resource allocation for performance-aware energy-efficient cloud data centers. 1 indexed citations
15.
16.
Luizelli, Marcelo Caggiani, et al.. (2019). Adaptive placement & chaining of virtual network functions with NFV-PEAR. Journal of Internet Services and Applications. 10(1). 17 indexed citations
17.
Luizelli, Marcelo Caggiani, et al.. (2018). Scalable QoE-aware Path Selection in SDN-based Mobile Networks. 989–997. 13 indexed citations
18.
Luizelli, Marcelo Caggiani, et al.. (2017). NFV-PEAR : posicionamento e encadeamento adaptativo de funções virtuais de rede. Americanae (AECID Library). 1 indexed citations
19.
Luizelli, Marcelo Caggiani, et al.. (2016). QoS aware schedulers for multi-users on OFDMA downlink: Optimal and heuristic. 0. 1–6. 4 indexed citations
20.
Oliveira, Rodrigo R., et al.. (2014). Survivor: An enhanced controller placement strategy for improving SDN survivability. 1909–1915. 152 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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