Valentin Plugaru

623 total citations
9 papers, 417 citations indexed

About

Valentin Plugaru is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Valentin Plugaru has authored 9 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 7 papers in Information Systems and 3 papers in Hardware and Architecture. Recurrent topics in Valentin Plugaru's work include Cloud Computing and Resource Management (7 papers), IoT and Edge/Fog Computing (4 papers) and Distributed and Parallel Computing Systems (4 papers). Valentin Plugaru is often cited by papers focused on Cloud Computing and Resource Management (7 papers), IoT and Edge/Fog Computing (4 papers) and Distributed and Parallel Computing Systems (4 papers). Valentin Plugaru collaborates with scholars based in Luxembourg, Netherlands and United States. Valentin Plugaru's co-authors include Sergio Coronado, Piotr Gawron, Nikos Vlassis, Arash Atashpendar, Paul Wilmes, Cédric C. Laczny, Laurens van der Maaten, Tomasz Sternal, Pascal Bouvry and Sébastien Varrette and has published in prestigious journals such as Microbiome, IEEE Transactions on Cloud Computing and Concurrency and Computation Practice and Experience.

In The Last Decade

Valentin Plugaru

8 papers receiving 404 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Valentin Plugaru Luxembourg 5 175 108 78 72 42 9 417
Tomasz Sternal Poland 4 179 1.0× 109 1.0× 9 0.1× 50 0.7× 42 1.0× 4 449
Jared Wilkening United States 9 415 2.4× 336 3.1× 43 0.6× 24 0.3× 44 1.0× 11 686
Chuwen Zhang China 12 117 0.7× 265 2.5× 143 1.8× 15 0.2× 94 2.2× 31 516
Mathieu Dubois France 9 259 1.5× 116 1.1× 15 0.2× 7 0.1× 17 0.4× 24 502
Stefan Pfeiffer Germany 15 343 2.0× 218 2.0× 36 0.5× 5 0.1× 15 0.4× 50 814
Piotr Gawron Luxembourg 13 447 2.6× 116 1.1× 10 0.1× 8 0.1× 42 1.0× 22 725
François Le Fèvre France 7 344 2.0× 122 1.1× 6 0.1× 14 0.2× 22 0.5× 7 520
Antonio González Spain 5 127 0.7× 40 0.4× 47 0.6× 23 0.3× 5 0.1× 10 293
S. N. Esteves Brazil 16 27 0.2× 160 1.5× 30 0.4× 32 0.4× 10 0.2× 94 724
Fernando García Spain 12 58 0.3× 44 0.4× 16 0.2× 12 0.2× 7 0.2× 38 405

Countries citing papers authored by Valentin Plugaru

Since Specialization
Citations

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

Fields of papers citing papers by Valentin Plugaru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valentin Plugaru

This figure shows the co-authorship network connecting the top 25 collaborators of Valentin Plugaru. A scholar is included among the top collaborators of Valentin Plugaru 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 Valentin Plugaru. Valentin Plugaru is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Varrette, Sébastien, et al.. (2020). Performance Analysis of Distributed and Scalable Deep Learning. 760–766. 3 indexed citations
2.
Varrette, Sébastien, et al.. (2016). Amazon Elastic Compute Cloud (EC2) versus In-House HPC Platform: A Cost Analysis. IEEE Transactions on Cloud Computing. 7(2). 456–468. 32 indexed citations
3.
Laczny, Cédric C., Tomasz Sternal, Valentin Plugaru, et al.. (2015). VizBin - an application for reference-independent visualization and human-augmented binning of metagenomic data. Microbiome. 3(1). 1–1. 324 indexed citations
4.
Besseron, Xavier, Valentin Plugaru, Amir Houshang Mahmoudi, et al.. (2015). Performance Evaluation of the XDEM Framework on the OpenStack Cloud Computing Middleware. Civil-comp proceedings. 2 indexed citations
5.
Guzek, Mateusz, Sébastien Varrette, Valentin Plugaru, Johnatan E. Pecero, & Pascal Bouvry. (2014). A Holistic Model of the Performance and the Energy-Efficiency of Hypervisors in an HPC Environment. Concurrency and Computation Practice and Experience. 3 indexed citations
6.
Varrette, Sébastien, Valentin Plugaru, Mateusz Guzek, Xavier Besseron, & Pascal Bouvry. (2014). HPC Performance and Energy-Efficiency of the OpenStack Cloud Middleware. 419–428. 11 indexed citations
7.
Plugaru, Valentin, Sébastien Varrette, & Pascal Bouvry. (2014). Performance Analysis of Cloud Environments on Top of Energy-Efficient Platforms Featuring Low Power Processors. 19. 416–425. 3 indexed citations
8.
Guzek, Mateusz, Sébastien Varrette, Valentin Plugaru, Johnatan E. Pecero, & Pascal Bouvry. (2014). A holistic model of the performance and the energy efficiency of hypervisors in a high‐performance computing environment. Concurrency and Computation Practice and Experience. 26(15). 2569–2590. 13 indexed citations
9.
Varrette, Sébastien, Mateusz Guzek, Valentin Plugaru, Xavier Besseron, & Pascal Bouvry. (2013). HPC Performance and Energy-Efficiency of Xen, KVM and VMware Hypervisors. 89–96. 26 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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