Anne‐Cécile Orgerie

1.9k total citations · 1 hit paper
42 papers, 770 citations indexed

About

Anne‐Cécile Orgerie is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Anne‐Cécile Orgerie has authored 42 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Networks and Communications, 33 papers in Information Systems and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Anne‐Cécile Orgerie's work include Cloud Computing and Resource Management (31 papers), Caching and Content Delivery (14 papers) and Distributed and Parallel Computing Systems (14 papers). Anne‐Cécile Orgerie is often cited by papers focused on Cloud Computing and Resource Management (31 papers), Caching and Content Delivery (14 papers) and Distributed and Parallel Computing Systems (14 papers). Anne‐Cécile Orgerie collaborates with scholars based in France, Germany and Austria. Anne‐Cécile Orgerie's co-authors include Laurent Lefèvre, Marcos Dias de Assunção, Jean-Patrick Gelas, Ehsan Ahvar, Adrien Lèbre, Jean-Marc Menaud, Manish Parashar, Isabelle Guérin-Lassous, Yunbo Li and Iván Rodero and has published in prestigious journals such as ACM Computing Surveys, Future Generation Computer Systems and Computing.

In The Last Decade

Anne‐Cécile Orgerie

38 papers receiving 738 citations

Hit Papers

A survey on techniques for improving the energy efficienc... 2014 2026 2018 2022 2014 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anne‐Cécile Orgerie France 14 623 556 203 134 63 42 770
Deo Prakash Vidyarthi India 13 359 0.6× 228 0.4× 133 0.7× 74 0.6× 90 1.4× 52 505
Cristian Klein Sweden 16 508 0.8× 428 0.8× 68 0.3× 80 0.6× 131 2.1× 46 623
Johnatan E. Pecero Luxembourg 15 706 1.1× 540 1.0× 61 0.3× 320 2.4× 80 1.3× 50 832
Rivalino Matias Brazil 17 766 1.2× 491 0.9× 160 0.8× 107 0.8× 101 1.6× 65 931
Weijia Song United States 9 826 1.3× 808 1.5× 70 0.3× 46 0.3× 92 1.5× 23 959
Jan‐Jan Wu Taiwan 16 770 1.2× 472 0.8× 110 0.5× 287 2.1× 132 2.1× 113 996
Xiaoshe Dong China 10 344 0.6× 285 0.5× 54 0.3× 95 0.7× 121 1.9× 135 524
Xiaojun Ruan United States 14 722 1.2× 632 1.1× 55 0.3× 228 1.7× 87 1.4× 59 874
Yuan Zhong United States 12 682 1.1× 530 1.0× 140 0.7× 115 0.9× 74 1.2× 32 782
Dazhao Cheng China 17 540 0.9× 464 0.8× 56 0.3× 84 0.6× 140 2.2× 67 722

Countries citing papers authored by Anne‐Cécile Orgerie

Since Specialization
Citations

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

Fields of papers citing papers by Anne‐Cécile Orgerie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne‐Cécile Orgerie. 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 Anne‐Cécile Orgerie. The network helps show where Anne‐Cécile Orgerie may publish in the future.

Co-authorship network of co-authors of Anne‐Cécile Orgerie

This figure shows the co-authorship network connecting the top 25 collaborators of Anne‐Cécile Orgerie. A scholar is included among the top collaborators of Anne‐Cécile Orgerie 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 Anne‐Cécile Orgerie. Anne‐Cécile Orgerie 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.
Chien, Andrew A., et al.. (2024). FlexCoolDC: Datacenter Cooling Flexibility for Harmonizing Water, Energy, Carbon, and Cost Trade-offs. SPIRE - Sciences Po Institutional REpository. 108–122. 3 indexed citations
2.
Ciblat, Philippe, Jacques Combaz, Marceau Coupechoux, Kévin Marquet, & Anne‐Cécile Orgerie. (2024). Effets environnementaux de la 5G (partie 2). 99–128.
3.
Blavette, Anne, et al.. (2024). Energy-related Impact of Redefining Self-consumption for Distributed Edge Datacenters. SPIRE - Sciences Po Institutional REpository. 7–13. 1 indexed citations
4.
Bugeau, Aurélie, et al.. (2024). De l’eau dans les nuages. n° 27(3). 41–48.
6.
Orgerie, Anne‐Cécile, et al.. (2024). Studying the end-to-end performance, energy consumption and carbon footprint of fog applications. 1–7. 1 indexed citations
7.
Blavette, Anne, et al.. (2023). Renewable Energy in Data Centers: The Dilemma of Electrical Grid Dependency and Autonomy Costs. IEEE Transactions on Sustainable Computing. 9(3). 315–328. 10 indexed citations
8.
Guermouche, Amina & Anne‐Cécile Orgerie. (2021). Thermal design power and vectorized instructions behavior. Concurrency and Computation Practice and Experience. 34(2). 5 indexed citations
9.
Lefèvre, Laurent, et al.. (2021). Experimental Workflow for Energy and Temperature Profiling on HPC Systems. HAL (Le Centre pour la Communication Scientifique Directe). 1–7. 1 indexed citations
10.
Ahvar, Ehsan, Anne‐Cécile Orgerie, & Adrien Lèbre. (2019). Estimating Energy Consumption of Cloud, Fog, and Edge Computing Infrastructures. IEEE Transactions on Sustainable Computing. 7(2). 277–288. 65 indexed citations
11.
Orgerie, Anne‐Cécile, et al.. (2018). Quantifying the impact of shutdown techniques for energy‐efficient data centers. Concurrency and Computation Practice and Experience. 30(17). 13 indexed citations
12.
Almeida, Francisco, Marcos Dias de Assunção, Jorge G. Barbosa, et al.. (2017). Energy monitoring as an essential building block towards sustainable ultrascale systems. Sustainable Computing Informatics and Systems. 17. 27–42. 10 indexed citations
13.
Li, Yunbo, et al.. (2017). End-to-end energy models for Edge Cloud-based IoT platforms: Application to data stream analysis in IoT. Future Generation Computer Systems. 87. 667–678. 60 indexed citations
14.
Degomme, Augustin, Arnaud Legrand, Alexandra Carpen-Amarie, et al.. (2017). Predicting the Energy-Consumption of MPI Applications at Scale Using Only a Single Node. 92–102. 22 indexed citations
15.
Orgerie, Anne‐Cécile, et al.. (2017). An experiment-driven energy consumption model for virtual machine management systems. Sustainable Computing Informatics and Systems. 18. 163–174. 18 indexed citations
16.
Barbosa, Jorge G., Vicente Blanco, Ivona Brandić, et al.. (2015). Energy Efficiency for Ultrascale Systems: Challenges and Trends from Nesus Project. Supercomputing Frontiers and Innovations. 2(2). 5 indexed citations
17.
Li, Yunbo, Anne‐Cécile Orgerie, & Jean-Marc Menaud. (2015). Opportunistic Scheduling in Clouds Partially Powered by Green Energy. 448–455. 11 indexed citations
18.
Orgerie, Anne‐Cécile, et al.. (2015). Energy-Efficient User-Oriented Cloud Elasticity for Data-Driven Applications. 376–383. 1 indexed citations
19.
Desprez, Frédéric, et al.. (2015). Energy-Aware Massively Distributed Cloud Facilities: The DISCOVERY Initiative. SPIRE - Sciences Po Institutional REpository. 476–477. 1 indexed citations
20.
Orgerie, Anne‐Cécile, et al.. (2008). Save Watts in Your Grid: Green Strategies for Energy-Aware Framework in Large Scale Distributed Systems. HAL (Le Centre pour la Communication Scientifique Directe). 171–178. 63 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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