Michael Showerman

639 total citations
12 papers, 403 citations indexed

About

Michael Showerman is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Michael Showerman has authored 12 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 5 papers in Information Systems and 5 papers in Hardware and Architecture. Recurrent topics in Michael Showerman's work include Distributed and Parallel Computing Systems (9 papers), Advanced Data Storage Technologies (6 papers) and Parallel Computing and Optimization Techniques (5 papers). Michael Showerman is often cited by papers focused on Distributed and Parallel Computing Systems (9 papers), Advanced Data Storage Technologies (6 papers) and Parallel Computing and Optimization Techniques (5 papers). Michael Showerman collaborates with scholars based in United States, Bulgaria and Italy. Michael Showerman's co-authors include Jeremy Enos, Volodymyr Kindratenko, Guochun Shi, Wen‐mei Hwu, John E. Stone, J. C. Phillips, Jim Brandt, Benjamin A. Allan, Nichamon Naksinehaboon and Ann Gentile and has published in prestigious journals such as The International Journal of High Performance Computing Applications and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

In The Last Decade

Michael Showerman

12 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Showerman United States 6 300 206 142 54 41 12 403
Jeremy Enos United States 8 309 1.0× 207 1.0× 152 1.1× 55 1.0× 41 1.0× 16 417
Devendar Bureddy United States 10 317 1.1× 251 1.2× 95 0.7× 64 1.2× 15 0.4× 13 417
Kevin Harms United States 13 696 2.3× 355 1.7× 231 1.6× 39 0.7× 107 2.6× 43 794
Guy A. Schiavone United States 7 212 0.7× 132 0.6× 153 1.1× 46 0.9× 15 0.4× 25 323
Brice Goglin France 12 506 1.7× 474 2.3× 153 1.1× 36 0.7× 9 0.2× 33 569
Julita Corbalán Spain 17 653 2.2× 533 2.6× 389 2.7× 77 1.4× 23 0.6× 58 750
Gilad Shainer United States 13 430 1.4× 287 1.4× 162 1.1× 105 1.9× 15 0.4× 28 527
Krishna Kandalla United States 16 493 1.6× 388 1.9× 172 1.2× 63 1.2× 11 0.3× 30 554
Ahmad Afsahi Canada 13 496 1.7× 405 2.0× 129 0.9× 76 1.4× 16 0.4× 72 561
Sunita Chandrasekaran United States 9 143 0.5× 138 0.7× 55 0.4× 34 0.6× 12 0.3× 49 249

Countries citing papers authored by Michael Showerman

Since Specialization
Citations

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

Fields of papers citing papers by Michael Showerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Showerman

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

All Works

12 of 12 papers shown
1.
White, Joseph P., Martins Innus, Matthew D. Jones, et al.. (2017). Challenges of Workload Analysis on Large HPC Systems. 1–8. 3 indexed citations
2.
Jha, Saurabh, Jim Brandt, Ann Gentile, et al.. (2017). Holistic Measurement-Driven System Assessment. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 797–800. 3 indexed citations
3.
Belgin, Mehmet, Fang Liu, Amiya K. Maji, et al.. (2017). Linux Clusters Institute Workshops. 1–8. 1 indexed citations
4.
Brandt, Jim, et al.. (2016). Large-Scale Persistent Numerical Data Source Monitoring System Experiences. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1711–1720. 3 indexed citations
5.
Showerman, Michael. (2015). Real Time Visualization of Monitoring Data for Large Scale HPC Systems. 706–709. 2 indexed citations
6.
Allan, Benjamin A., Jim Brandt, Jeremy Enos, et al.. (2014). The Lightweight Distributed Metric Service: A Scalable Infrastructure for Continuous Monitoring of Large Scale Computing Systems and Applications. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 154–165. 124 indexed citations
7.
Gentile, Ann C., et al.. (2014). Large Scale System Monitoring and Analysis on Blue Waters using OVIS.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 4 indexed citations
8.
Showerman, Michael, et al.. (2011). QP: A Heterogeneous Multi-Accelerator Cluster. 45 indexed citations
9.
Shi, Guochun, Jeremy Enos, Michael Showerman, & Volodymyr Kindratenko. (2011). On testing GPU memory for hard and soft errors. 22 indexed citations
10.
Enos, Jeremy, Michael Showerman, Guochun Shi, et al.. (2010). Quantifying the impact of GPUs on performance and energy efficiency in HPC clusters. 317–324. 30 indexed citations
11.
Kindratenko, Volodymyr, Jeremy Enos, Guochun Shi, et al.. (2009). GPU clusters for high-performance computing. 1–8. 143 indexed citations
12.
Chien, Andrew A., Mario Lauria, Michael Showerman, et al.. (1999). Design and Evaluation of an HPVM-Based Windows NT Supercomputer. The International Journal of High Performance Computing Applications. 13(3). 201–219. 23 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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