Michael Showerman

640 citations
12 papers · 460 · h-index 6

Impact in

    • Parallel Computing and Optimization Techniques
    • Distributed and Parallel Computing Systems
    • Advanced Data Storage Technologies
    • Interconnection Networks and Systems
    • Software System Performance and Reliability
    • Distributed systems and fault tolerance

Papers in

Michael Showerman

12 papers receiving 427 citations

Peers

Michael Showerman
Comparison fields: 5 of 54
  • Hardware and Architecture 234
  • Computer Networks and Communications 337
  • Information Systems 163
  • Information Systems and Management 42
  • Computational Mathematics 2
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Michael Showerman relative to Jeremy Enos United States Jeremy Enos's profile →
Citations per field
00.5×1.5×
Jeremy Enos · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Michael Showerman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Showerman Line = papers co-authored together Michael Showerman links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2009171
2 2014145
3
QP: A Heterogeneous Multi-Accelerator Cluster
201147
4 201033
5 199924
6
On testing GPU memory for hard and soft errors
201123
7
Large Scale System Monitoring and Analysis on Blue Waters using OVIS.
20144
8 20163
9 20173
10 20173
11 20153
12 20171

About Michael Showerman

Michael Showerman is a scholar working on Computer Networks and Communications, Information Systems, Hardware and Architecture, Information Systems and Management and Safety, Risk, Reliability and Quality, having authored 12 papers that have together received 460 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (9 papers), Advanced Data Storage Technologies (6 papers), Cloud Computing and Resource Management (5 papers), Parallel Computing and Optimization Techniques (5 papers), Scientific Computing and Data Management (2 papers), Software System Performance and Reliability (2 papers), Water Quality Monitoring Technologies (1 paper) and Radiation Effects in Electronics (1 paper). The work is most often cited by research in Hardware and Architecture (234 citations), Computer Networks and Communications (337 citations), Information Systems (163 citations), Information Systems and Management (42 citations) and Computational Mathematics (2 citations). Michael Showerman has collaborated with scholars based in United States, Italy and Bulgaria. Frequent co-authors include Jeremy Enos, Volodymyr Kindratenko, Guochun Shi, Wen‐mei Hwu, J. C. Phillips, John E. Stone, Jim Brandt, Benjamin A. Allan, Nichamon Naksinehaboon and Mahesh Rajan. Their work appears in 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).

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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