Jeremy Enos

1.7k citations
16 papers · 417 · h-index 8

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

Jeremy Enos

16 papers receiving 393 citations

Peers

Jeremy Enos
Comparison fields: 5 of 56
  • Hardware and Architecture 207
  • Computer Networks and Communications 309
  • Information Systems 152
  • Information Systems and Management 41
  • Computational Mathematics 2
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Jeremy Enos relative to Michael Showerman United States Michael Showerman's profile →
Citations per field
00.5×1.5×
Michael Showerman · 1×
Citations per year

Countries citing papers authored by Jeremy Enos

Since Specialization
Citations

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

Fields of papers citing papers by Jeremy Enos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jeremy Enos, 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 Jeremy Enos Line = papers co-authored together Jeremy Enos links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2009143
2 2014124
3
QP: A Heterogeneous Multi-Accelerator Cluster
201145
4 201030
5
On testing GPU memory for hard and soft errors
201122
6 201411
7 20209
8 20118
9 20155
10
Large Scale System Monitoring and Analysis on Blue Waters using OVIS.
20144
11 20173
12 20173
13 20163
14 20173
15 20182
16 20182

About Jeremy Enos

Jeremy Enos is a scholar working on Computer Networks and Communications, Information Systems, Hardware and Architecture, Information Systems and Management and Artificial Intelligence, having authored 16 papers that have together received 417 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (10 papers), Advanced Data Storage Technologies (8 papers), Parallel Computing and Optimization Techniques (6 papers), Cloud Computing and Resource Management (6 papers), Scientific Computing and Data Management (4 papers), Software System Performance and Reliability (3 papers), Anomaly Detection Techniques and Applications (2 papers) and Water Quality Monitoring Technologies (1 paper). The work is most often cited by research in Hardware and Architecture (207 citations), Computer Networks and Communications (309 citations), Information Systems (152 citations), Information Systems and Management (41 citations) and Computational Mathematics (2 citations). Jeremy Enos has collaborated with scholars based in United States and Bulgaria. Frequent co-authors include Michael Showerman, Volodymyr Kindratenko, Guochun Shi, Wen‐mei Hwu, John E. Stone, J. C. Phillips, Ann Gentile, Nichamon Naksinehaboon, Benjamin A. Allan and Jim Brandt. Their work appears in journals such as Journal of Computational Science, Computing in Science & Engineering, Concurrency and Computation Practice and Experience, OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) and Procedia Computer Science.

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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