Andrew Younge

2.4k total citations · 1 hit paper
35 papers, 1.5k citations indexed

About

Andrew Younge is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Andrew Younge has authored 35 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Networks and Communications, 26 papers in Information Systems and 10 papers in Hardware and Architecture. Recurrent topics in Andrew Younge's work include Cloud Computing and Resource Management (25 papers), Advanced Data Storage Technologies (20 papers) and Distributed and Parallel Computing Systems (15 papers). Andrew Younge is often cited by papers focused on Cloud Computing and Resource Management (25 papers), Advanced Data Storage Technologies (20 papers) and Distributed and Parallel Computing Systems (15 papers). Andrew Younge collaborates with scholars based in United States, Germany and Singapore. Andrew Younge's co-authors include Gregor von Laszewski, Lizhe Wang, Xi He, M. Kunze, Jie Tao, Cheng Fu, Geoffrey Fox, Robert Henschel, Judy Qiu and Ryan E. Grant and has published in prestigious journals such as Genome Research, Computers in Human Behavior and ACM SIGPLAN Notices.

In The Last Decade

Andrew Younge

33 papers receiving 1.4k citations

Hit Papers

Cloud Computing: a Perspective Study 2010 2026 2015 2020 2010 100 200 300 400
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. Cloud Computing: a Perspective Study
    2010 496 citations Lizhe Wang, Gregor von Laszewski et al. New Generation Computing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Younge United States 15 1.1k 1.1k 258 148 139 35 1.5k
Francisco Brasileiro Brazil 18 642 0.6× 961 0.9× 234 0.9× 123 0.8× 122 0.9× 100 1.2k
Tevfik Kosar United States 17 512 0.5× 929 0.8× 142 0.6× 191 1.3× 77 0.6× 91 1.1k
Shiyong Lu United States 27 1.2k 1.0× 1.2k 1.1× 88 0.3× 764 5.2× 680 4.9× 141 2.2k
Jack C. Wileden United States 23 596 0.5× 444 0.4× 254 1.0× 49 0.3× 759 5.5× 101 1.5k
William Cheng‐Chung Chu Taiwan 17 537 0.5× 292 0.3× 41 0.2× 20 0.1× 350 2.5× 133 1.0k
Marco A. S. Netto Brazil 15 984 0.9× 920 0.8× 85 0.3× 161 1.1× 197 1.4× 41 1.4k
Wei Song China 18 772 0.7× 545 0.5× 26 0.1× 76 0.5× 312 2.2× 131 1.3k
Anil Madhavapeddy United Kingdom 20 726 0.6× 929 0.8× 245 0.9× 61 0.4× 421 3.0× 101 1.6k
Hein S. Venter South Africa 25 1.5k 1.3× 412 0.4× 23 0.1× 57 0.4× 395 2.8× 162 1.9k

Countries citing papers authored by Andrew Younge

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Younge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Younge

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Younge. A scholar is included among the top collaborators of Andrew Younge 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 Andrew Younge. Andrew Younge 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.
Stephey, L., et al.. (2022). Scaling Podman on Perlmutter: Embracing a community-supported container ecosystem. 25–35. 2 indexed citations
2.
Canon, R. S. & Andrew Younge. (2019). A Case for Portability and Reproducibility of HPC Containers. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 49–54. 19 indexed citations
3.
Govindaraju, Madhusudhan, et al.. (2019). Enabling HPC Workloads on Cloud Infrastructure Using Kubernetes Container Orchestration Mechanisms. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 11–20. 40 indexed citations
4.
Younge, Andrew, Ryan E. Grant, James H. Laros, et al.. (2018). Small scale to extreme: Methods for characterizing energy efficiency in supercomputing applications. Sustainable Computing Informatics and Systems. 21. 90–102. 3 indexed citations
5.
Pedretti, Kevin, Ryan E. Grant, James H. Laros, et al.. (2018). A Comparison of Power Management Mechanisms: P-States vs. Node-Level Power Cap Control. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 725–729.
6.
Younge, Andrew, et al.. (2017). Enabling Diverse Software Stacks on Supercomputers Using High Performance Virtual Clusters. 310–321. 3 indexed citations
7.
Younge, Andrew, Kevin Pedretti, Ryan E. Grant, & Ron Brightwell. (2017). A Tale of Two Systems: Using Containers to Deploy HPC Applications on Supercomputers and Clouds. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 74–81. 47 indexed citations
8.
Younge, Andrew, et al.. (2016). Evaluation of SMP Shared Memory Machines for Use with In-Memory and OpenMP Big Data Applications. UA Campus Repository (The University of Arizona). 1. 1597–1606. 1 indexed citations
9.
Tucker, Abraham E., Craig E. Jackson, Way Sung, et al.. (2015). High mutational rates of large-scale duplication and deletion in Daphnia pulex. Genome Research. 26(1). 60–69. 74 indexed citations
10.
Younge, Andrew, John Paul Walters, Stephen P. Crago, & Geoffrey Fox. (2015). Supporting High Performance Molecular Dynamics in Virtualized Clusters using IOMMU, SR-IOV, and GPUDirect. 31–38. 8 indexed citations
11.
Younge, Andrew, John Paul Walters, Stephen P. Crago, & Geoffrey Fox. (2015). Supporting High Performance Molecular Dynamics in Virtualized Clusters using IOMMU, SR-IOV, and GPUDirect. ACM SIGPLAN Notices. 50(7). 31–38. 4 indexed citations
12.
Younge, Andrew & Geoffrey Fox. (2014). Advanced Virtualization Techniques for High Performance Cloud Cyberinfrastructure. 6271. 583–586. 4 indexed citations
13.
Pai, Vijay S., et al.. (2014). Bridging the Virtualization Performance Gap for HPC Using SR-IOV for InfiniBand. 627–635. 20 indexed citations
14.
15.
Younge, Andrew, Gregor von Laszewski, Lizhe Wang, & Geoffrey Fox. (2012). Providing a Green Framework for Cloud Data Centers. 923–948. 1 indexed citations
16.
Laszewski, Gregor von, et al.. (2011). Towards generic FutureGrid image management. 1–2. 2 indexed citations
17.
Díaz, Javier, Gregor von Laszewski, Fugang Wang, Andrew Younge, & Geoffrey Fox. (2011). FutureGrid Image Repository: A Generic Catalog and Storage System for Heterogeneous Virtual Machine Images. 560–564. 20 indexed citations
18.
Wang, Lizhe, Gregor von Laszewski, Andrew Younge, et al.. (2010). Cloud Computing: a Perspective Study. New Generation Computing. 28(2). 137–146. 496 indexed citations breakdown →
19.
Laszewski, Gregor von, Andrew Younge, Xi He, G. Mahinthakumar, & Lizhe Wang. (2009). Experiment and Workflow Management Using Cyberaide Shell. 568–573. 12 indexed citations
20.
Laszewski, Gregor von, Lizhe Wang, Andrew Younge, & Xi He. (2009). Power-aware scheduling of virtual machines in DVFS-enabled clusters. 1–10. 200 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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