D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 57 Citations 13,846 170 World Ranking 1958 National Ranking 1077

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Programming language
  • GNU/Linux

Barton P. Miller mainly focuses on Debugging, Operating system, Distributed computing, Instrumentation and Programming language. The concepts of his Debugging study are interwoven with issues in Shared memory, Parallel computing, Tracing and Identification. As part of his studies on Operating system, Barton P. Miller often connects relevant subjects like Mobile agent.

His study in Distributed computing is interdisciplinary in nature, drawing from both Extensibility, Scalability and Theoretical computer science. His research in Instrumentation intersects with topics in Computer hardware, Embedded system, Overhead and Code. His research in the fields of Compiler and Profiling overlaps with other disciplines such as Stack trace.

His most cited work include:

  • The Paradyn parallel performance measurement tool (788 citations)
  • An empirical study of the reliability of UNIX utilities (769 citations)
  • What are race conditions?: Some issues and formalizations (392 citations)

What are the main themes of his work throughout his whole career to date?

His primary scientific interests are in Debugging, Operating system, Distributed computing, Programming language and Instrumentation. His Debugging study incorporates themes from Software engineering, Tracing, Programmer and Parallel computing. Operating system is closely attributed to Embedded system in his research.

Barton P. Miller works mostly in the field of Distributed computing, limiting it down to topics relating to Scalability and, in certain cases, Multicast, Overlay network, Middleware and Set, as a part of the same area of interest. His Unix research is multidisciplinary, incorporating perspectives in Random testing, Workstation and Fuzz testing. Barton P. Miller combines subjects such as Real-time computing and Host with his study of Process.

He most often published in these fields:

  • Debugging (17.11%)
  • Operating system (17.11%)
  • Distributed computing (15.35%)

What were the highlights of his more recent work (between 2012-2021)?

  • Computer security (10.96%)
  • Software (7.02%)
  • Software engineering (11.84%)

In recent papers he was focusing on the following fields of study:

His primary areas of investigation include Computer security, Software, Software engineering, Vulnerability assessment and Software assurance. His Computer security research includes themes of Center of excellence, Service and Secure coding. His work on Software system as part of general Software study is frequently linked to Process, Development and Empirical research, therefore connecting diverse disciplines of science.

Barton P. Miller has researched Software engineering in several fields, including Pointer, Relevance, Scripting language, Unix and Fuzz testing. His Computer engineering study combines topics from a wide range of disciplines, such as Debugging and Reduction. The study incorporates disciplines such as Construct and Distributed computing in addition to Reduction.

Between 2012 and 2021, his most popular works were:

  • Binary-code obfuscations in prevalent packer tools (81 citations)
  • Binary code is not easy (60 citations)
  • Mr. Scan: extreme scale density-based clustering using a tree-based network of GPGPU nodes (38 citations)

In his most recent research, the most cited papers focused on:

  • Operating system
  • Programming language
  • GNU/Linux

Barton P. Miller focuses on Code, Data mining, Distributed computing, Binary code and Instrumentation. His Data mining study integrates concerns from other disciplines, such as Titan and Cluster analysis. His Distributed computing study combines topics in areas such as Data transmission, Class, Reduction, Graphics processing unit and Central processing unit.

His research on Binary code also deals with topics like

  • Binary analysis that connect with fields like Computer security and Malware,
  • Identification which connect with Key. His biological study deals with issues like Data-flow analysis, which deal with fields such as Middleware and Software engineering. The study incorporates disciplines such as Programming language, Source code, Code coverage, Dead code and KPI-driven code analysis in addition to Theoretical computer science.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

An empirical study of the reliability of UNIX utilities

Barton P. Miller;Louis Fredriksen;Bryan So.
Communications of The ACM (1990)

1282 Citations

The Paradyn parallel performance measurement tool

B.P. Miller;M.D. Callaghan;J.M. Cargille;J.K. Hollingsworth.
IEEE Computer (1995)

1167 Citations

What are race conditions?: Some issues and formalizations

Robert H. B. Netzer;Barton P. Miller.
ACM Letters on Programming Languages and Systems (1992)

640 Citations

Process migration in DEMOS/MP

Michael L. Powell;Barton P. Miller.
symposium on operating systems principles (1983)

516 Citations

Fuzz Revisited: A Re-examination of the Reliability of UNIX Utilities and Services

Barton P Miller;David Koski;Cjin Pheow Lee;Vivekandanda Maganty.
(1995)

417 Citations

An empirical study of the robustness of Windows NT applications using random testing

Justin E. Forrester;Barton P. Miller.
conference on usenix windows systems symposium (2000)

411 Citations

Optimal tracing and replay for debugging message-passing parallel programs

Robert H. B. Netzer;Barton P. Miller.
The Journal of Supercomputing (1994)

283 Citations

IPS-2: the second generation of a parallel program measurement system

B.P. Miller;M. Clark;J. Hollingsworth;S. Kierstead.
IEEE Transactions on Parallel and Distributed Systems (1990)

266 Citations

MRNet: A Software-Based Multicast/Reduction Network for Scalable Tools

Philip C. Roth;Dorian C. Arnold;Barton P. Miller.
conference on high performance computing (supercomputing) (2003)

261 Citations

Dynamic program instrumentation for scalable performance tools

J.K. Hollingsworth;B.P. Miller;J. Cargille.
ieee international conference on high performance computing data and analytics (1994)

259 Citations

Best Scientists Citing Barton P. Miller

Allen D. Malony

Allen D. Malony

University of Oregon

Publications: 57

Martin Schulz

Martin Schulz

Technical University of Munich

Publications: 51

Karsten Schwan

Karsten Schwan

Georgia Institute of Technology

Publications: 33

Koushik Sen

Koushik Sen

University of California, Berkeley

Publications: 31

Jeffrey K. Hollingsworth

Jeffrey K. Hollingsworth

University of Maryland, College Park

Publications: 30

Thomas Fahringer

Thomas Fahringer

University of Innsbruck

Publications: 30

Bronis R. de Supinski

Bronis R. de Supinski

Lawrence Livermore National Laboratory

Publications: 27

Herbert Bos

Herbert Bos

Vrije Universiteit Amsterdam

Publications: 25

Vijay K. Garg

Vijay K. Garg

The University of Texas at Austin

Publications: 25

Shan Lu

Shan Lu

University of Chicago

Publications: 24

Rajiv Gupta

Rajiv Gupta

University of California, Riverside

Publications: 23

Giovanni Vigna

Giovanni Vigna

University of California, Santa Barbara

Publications: 21

John Mellor-Crummey

John Mellor-Crummey

Rice University

Publications: 20

Christopher Kruegel

Christopher Kruegel

University of California, Santa Barbara

Publications: 20

Tsong Yueh Chen

Tsong Yueh Chen

Swinburne University of Technology

Publications: 20

Charles E. Leiserson

Charles E. Leiserson

MIT

Publications: 20

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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