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 31 Citations 10,797 82 World Ranking 7998 National Ranking 3735

Overview

What is she best known for?

The fields of study she is best known for:

  • Programming language
  • Operating system
  • Compiler

Susan L. Graham mostly deals with Programming language, Parallel computing, Compiler, Operating system and Partitioned global address space. In her study, Susan L. Graham carries out multidisciplinary Programming language and Execution time research. Her Parallel computing research is multidisciplinary, incorporating perspectives in Interprocedural optimization, Loop optimization, Compiler correctness, Manifest expression and Partial redundancy elimination.

Her studies deal with areas such as Network monitoring, Enhanced Data Rates for GSM Evolution and Byte as well as Compiler. Her Operating system research integrates issues from Fault model and Embedded system. Susan L. Graham combines subjects such as Java, Model of computation and SPMD with her study of Partitioned global address space.

Her most cited work include:

  • Efficient software-based fault isolation (1161 citations)
  • Gprof: A call graph execution profiler (932 citations)
  • Compiler transformations for high-performance computing (755 citations)

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

Her primary areas of investigation include Programming language, Compiler, Code generation, Parallel computing and Parsing. Her Programming language research is multidisciplinary, relying on both Artificial intelligence and Natural language processing. Her biological study spans a wide range of topics, including Debugger, Debugging, Session and Compiled language.

Her Parallel computing study typically links adjacent topics like Fortran. Her studies in SPMD integrate themes in fields like Model of computation and Global address space. Her research investigates the connection between Model of computation and topics such as Adaptive mesh refinement that intersect with problems in Unified Parallel C.

She most often published in these fields:

  • Programming language (56.00%)
  • Compiler (26.00%)
  • Code generation (14.00%)

What were the highlights of her more recent work (between 2001-2013)?

  • Programming language (56.00%)
  • Java (13.00%)
  • Artificial intelligence (9.00%)

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

Susan L. Graham mainly focuses on Programming language, Java, Artificial intelligence, Natural language processing and Source code. Her Programming language study frequently draws connections between adjacent fields such as Operating system. When carried out as part of a general Java research project, her work on Real time Java is frequently linked to work in Task and Memory management, therefore connecting diverse disciplines of study.

Her study on Parsing is often connected to Fourth-generation programming language and Ontology language as part of broader study in Natural language processing. Her study in Source code is interdisciplinary in nature, drawing from both Software engineering, Usability and Macro. Her Partitioned global address space research includes elements of Message passing, Distributed memory, Shared memory and Parallel computing.

Between 2001 and 2013, her most popular works were:

  • Productivity and performance using partitioned global address space languages (161 citations)
  • Managing Duplicated Code with Linked Editing (157 citations)
  • Getting Up to Speed: The Future of Supercomputing (153 citations)

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

  • Programming language
  • Operating system
  • Compiler

Her main research concerns Programming language, Operating system, Java, Supercomputer and Software engineering. Susan L. Graham regularly links together related areas like Distributed memory in her Programming language studies. The Operating system study combines topics in areas such as Message passing and Partitioned global address space, Unified Parallel C.

Her work carried out in the field of Java brings together such families of science as Software and Interface. Her Software engineering research is multidisciplinary, incorporating elements of Macro and Source code.

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

Efficient software-based fault isolation

Robert Wahbe;Steven Lucco;Thomas E. Anderson;Susan L. Graham.
symposium on operating systems principles (1994)

1770 Citations

Gprof: A call graph execution profiler

Susan L. Graham;Peter B. Kessler;Marshall K. Mckusick.
compiler construction (1982)

1512 Citations

Compiler transformations for high-performance computing

David F. Bacon;Susan L. Graham;Oliver J. Sharp.
ACM Computing Surveys (1994)

1437 Citations

Titanium: a high-performance Java dialect

Katherine A. Yelick;Katherine A. Yelick;Luigi Semenzato;Luigi Semenzato;Geoff Pike;Geoff Pike;Carleton Miyamoto;Carleton Miyamoto.
Concurrency and Computation: Practice and Experience (1998)

686 Citations

A generalization of Dijkstra's calculus

Susan L. Graham.
ACM Transactions on Programming Languages and Systems (1989)

419 Citations

An Improved Context-Free Recognizer

Susan L. Graham;Michael Harrison;Walter L. Ruzzo.
ACM Transactions on Programming Languages and Systems (1980)

316 Citations

Managing Duplicated Code with Linked Editing

M. Toomim;A. Begel;S.L. Graham.
symposium on visual languages and human-centric computing (2004)

258 Citations

Productivity and performance using partitioned global address space languages

Katherine Yelick;Dan Bonachea;Wei-Yu Chen;Phillip Colella.
parallel symbolic computation (2007)

246 Citations

A Fast and Usually Linear Algorithm for Global Flow Analysis

Susan L. Graham;Mark Wegman.
Journal of the ACM (1976)

239 Citations

An execution profiler for modular programs

Susan L. Graham;Peter B. Kessler;Marshall K. McKusick.
Software - Practice and Experience (1983)

236 Citations

Best Scientists Citing Susan L. Graham

Katherine Yelick

Katherine Yelick

Lawrence Berkeley National Laboratory

Publications: 44

Vivek Sarkar

Vivek Sarkar

Georgia Institute of Technology

Publications: 33

K. Rustan M. Leino

K. Rustan M. Leino

Amazon Web Services

Publications: 23

Ulfar Erlingsson

Ulfar Erlingsson

Lacework

Publications: 23

Alex Aiken

Alex Aiken

Stanford University

Publications: 23

James R. Larus

James R. Larus

École Polytechnique Fédérale de Lausanne

Publications: 21

Greg Morrisett

Greg Morrisett

Cornell University

Publications: 20

Chanchal K. Roy

Chanchal K. Roy

University of Saskatchewan

Publications: 20

James Demmel

James Demmel

University of California, Berkeley

Publications: 19

Carroll Morgan

Carroll Morgan

UNSW Sydney

Publications: 19

Barton P. Miller

Barton P. Miller

University of Wisconsin–Madison

Publications: 18

Herbert Bos

Herbert Bos

Vrije Universiteit Amsterdam

Publications: 18

John Mellor-Crummey

John Mellor-Crummey

Rice University

Publications: 18

Thomas Anderson

Thomas Anderson

University of Washington

Publications: 18

Steven P. Reiss

Steven P. Reiss

Brown University

Publications: 18

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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