H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 63 Citations 10,734 224 World Ranking 1300 National Ranking 742

Research.com Recognitions

Awards & Achievements

2017 - ACM Fellow For contributions to end-user software engineering, understanding gender biases in software, and broadening participation in computing

2015 - ACM Distinguished Member

Overview

What is she best known for?

The fields of study she is best known for:

  • Programming language
  • Artificial intelligence
  • Software

Her main research concerns End user, Software engineering, Human–computer interaction, Debugging and Programming language. Her End user research includes elements of Software, Correctness and Formative assessment. She has researched Software in several fields, including Web page and Knowledge management.

Her Software engineering research incorporates elements of Software maintenance, Software development, Interface, User interface design and Empirical research. Her Human–computer interaction study integrates concerns from other disciplines, such as Active learning, Machine learning and Artificial intelligence. The study incorporates disciplines such as Intelligent agent and Soundness in addition to Debugging.

Her most cited work include:

  • The state of the art in end-user software engineering (393 citations)
  • Principles of Explanatory Debugging to Personalize Interactive Machine Learning (263 citations)
  • A methodology for testing spreadsheets (192 citations)

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

Margaret Burnett mainly investigates End user, Software engineering, Programming language, Human–computer interaction and Software. The concepts of her End user study are interwoven with issues in Web application, Debugging, End user software engineering and Artificial intelligence. Her Debugging research is multidisciplinary, relying on both Correctness and Information foraging.

Her studies in Software engineering integrate themes in fields like Software maintenance and Software development. The various areas that Margaret Burnett examines in her Human–computer interaction study include User interface and Empirical research. Her study in Software is interdisciplinary in nature, drawing from both Knowledge management and Data science.

She most often published in these fields:

  • End user (30.43%)
  • Software engineering (26.45%)
  • Programming language (22.46%)

What were the highlights of her more recent work (between 2014-2021)?

  • Software (20.29%)
  • Data science (8.33%)
  • Empirical research (11.59%)

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

Her primary areas of study are Software, Data science, Empirical research, Human–computer interaction and Knowledge management. In general Software study, her work on Software walkthrough and Software development often relates to the realm of Work, thereby connecting several areas of interest. Margaret Burnett has included themes like Intelligent agent, Field, Information foraging, Debugging and Social software engineering in her Data science study.

Her studies deal with areas such as Active learning and Cluster as well as Debugging. Her Human–computer interaction research includes themes of Programming language, End user and Embedded system. Her work investigates the relationship between Visualization and topics such as Software engineering that intersect with problems in Time on task.

Between 2014 and 2021, her most popular works were:

  • Principles of Explanatory Debugging to Personalize Interactive Machine Learning (263 citations)
  • A practical guide to controlled experiments of software engineering tools with human participants (109 citations)
  • GenderMag: A Method for Evaluating Software's Gender Inclusiveness (69 citations)

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

  • Programming language
  • Artificial intelligence
  • Software

Margaret Burnett mainly focuses on Data science, Empirical research, Set, Software and Human–computer interaction. Her work deals with themes such as Information foraging, Personal software process, Formative assessment, Debugging and Focus, which intersect with Data science. Her research investigates the connection with Empirical research and areas like Management science which intersect with concerns in Time on task.

Her study on Software Engineering Process Group, Software walkthrough and Software development is often connected to Design modification as part of broader study in Software. Margaret Burnett interconnects Programming language, Active learning, Situated, Software design pattern and End user in the investigation of issues within Human–computer interaction. Her End user research is multidisciplinary, incorporating elements of Learning theory, Traditional learning, Real-time strategy, Error-driven learning and Machine learning.

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.

Top Publications

The state of the art in end-user software engineering

Amy J. Ko;Robin Abraham;Laura Beckwith;Alan Blackwell.
ACM Computing Surveys (2011)

560 Citations

Principles of Explanatory Debugging to Personalize Interactive Machine Learning

Todd Kulesza;Margaret Burnett;Weng-Keen Wong;Simone Stumpf.
intelligent user interfaces (2015)

328 Citations

A methodology for testing spreadsheets

Gregg Rothermel;Margaret Burnett;Lixin Li;Christopher Dupuis.
ACM Transactions on Software Engineering and Methodology (2001)

295 Citations

Forms/3: A first-order visual language to explore the boundaries of the spreadsheet paradigm

Margaret Burnett;John Atwood;Rebecca Walpole Djang;James Reichwein.
Journal of Functional Programming (2001)

284 Citations

End-user software engineering

Margaret Burnett;Curtis Cook;Gregg Rothermel.
Communications of The ACM (2004)

263 Citations

A user-centred approach to functions in Excel

Simon Peyton Jones;Alan Blackwell;Margaret Burnett.
international conference on functional programming (2003)

213 Citations

Scaling up visual programming languages

M.M. Burnett;M.J. Baker;C. Bohus;P. Carlson.
IEEE Computer (1995)

200 Citations

Visual object-oriented programming

Margaret M. Burnett.
conference on object oriented programming systems languages and applications (1993)

192 Citations

Interacting meaningfully with machine learning systems: Three experiments

Simone Stumpf;Vidya Rajaram;Lida Li;Weng-Keen Wong.
International Journal of Human-computer Studies / International Journal of Man-machine Studies (2009)

192 Citations

End-user software engineering with assertions in the spreadsheet paradigm

Margaret Burnett;Curtis Cook;Omkar Pendse;Gregg Rothermel.
international conference on software engineering (2003)

191 Citations

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

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