World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
13356
World Ranking
6344
National Ranking
2832

Overview

Robert DeLine is affiliated with Microsoft (United States) and conducts research primarily in the field of Computer Science. Their work spans several subfields including Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Information Systems and Management, and Computer Networks and Communications.

The main topics addressed in their research include Data Visualization and Analytics, Scientific Computing and Data Management, Software Engineering Research, Software System Performance and Reliability, Explainable Artificial Intelligence (XAI), Topic Modeling, and Data Analysis with R.

The scientist has published in a variety of venues, indicating a diverse range of research interests. These venues include:

  • arXiv (Cornell University)
  • ACM Transactions on Computer-Human Interaction
  • CHI Conference on Human Factors in Computing Systems
  • Proceedings of the ACM on software engineering.
  • Proceedings of the ACM on Human-Computer Interaction

Frequent collaborators in Robert DeLine's research include Steven M. Drucker, Carmen Badea, Christian Bird, Denae Ford, and Nicole Forsgren, each having co-authored multiple publications with them.

Notable recent papers authored or co-authored by Robert DeLine cover various aspects of human-computer interaction, machine learning, and software engineering. These include:

  • "What Did My AI Learn? How Data Scientists Make Sense of Model Behavior" (2022) published in ACM Transactions on Computer-Human Interaction
  • "Diff in the Loop: Supporting Data Comparison in Exploratory Data Analysis" (2022) presented at CHI Conference on Human Factors in Computing Systems
  • "How Teams Communicate about the Quality of ML Models: A Case Study at an International Technology Company" (2021) published in Proceedings of the ACM on Human-Computer Interaction
  • "Can GPT-4 Replicate Empirical Software Engineering Research?" (2024) published in Proceedings of the ACM on software engineering.
  • "GEMS: Generative Expert Metric System through Iterative Prompt Priming" (2024) available on arXiv (Cornell University)

Best Publications

  • Abstractions for software architecture and tools to support them

    M. Shaw;R. DeLine;D.V. Klein;T.L. Ross

  • Boogie: a modular reusable verifier for object-oriented programs

    Mike Barnett;Bor-Yuh Evan Chang;Robert DeLine;Bart Jacobs

  • Software engineering for machine learning: a case study

    Saleema Amershi;Andrew Begel;Christian Bird;Robert DeLine

  • Maintaining mental models: a study of developer work habits

    Thomas D. LaToza;Gina Venolia;Robert DeLine

  • Information Needs in Collocated Software Development Teams

    Andrew J. Ko;Robert DeLine;Gina Venolia

  • Enforcing high-level protocols in low-level software

    Robert DeLine;Manuel Fähndrich

  • Verification of object-oriented programs with invariants

    Michael Barnett;Robert DeLine;Manuel Fähndrich;K. Rustan M. Leino

  • Interactions with big data analytics

    Danyel Fisher;Rob DeLine;Mary Czerwinski;Steven Drucker

  • A field study of API learning obstacles

    Martin P. Robillard;Robert Deline

  • Boogie: a modular reusable verifier for object-oriented programs

    Mike Barnett;Bor-Yuh Evan Chang;Robert Deline;Bart Jacobs

  • Adoption and focus: practical linear types for imperative programming

    Manuel Fahndrich;Robert DeLine

  • Let's go to the whiteboard: how and why software developers use drawings

    Mauro Cherubini;Gina Venolia;Rob DeLine;Amy J. Ko

  • Typestates for Objects

    Robert DeLine;Manuel Fähndrich

  • The emerging role of data scientists on software development teams

    Miryung Kim;Thomas Zimmermann;Robert DeLine;Andrew Begel

  • Alice: Rapid prototyping system for virtual reality

    Randy Pausch;Tommy Burnette;A.C. Capeheart;Matthew Conway

  • Gamut: A Design Probe to Understand How Data Scientists Understand Machine Learning Models

    Fred Hohman;Andrew Head;Rich Caruana;Robert DeLine

  • Data Scientists in Software Teams: State of the Art and Challenges

    Miryung Kim;Thomas Zimmermann;Robert DeLine;Andrew Begel

  • Trill: a high-performance incremental query processor for diverse analytics

    Badrish Chandramouli;Jonathan Goldstein;Mike Barnett;Robert DeLine

  • BoogiePL: A typed procedural language for checking object-oriented programs

    Robert DeLine;K. Rustan M. Leino

  • Abstractions and implementations for architectural connections

    M. Shaw;R. DeLine;G. Zelesnik

Frequent Co-Authors

Steven M. Drucker
Steven M. Drucker Microsoft (United States)
Danyel Fisher
Danyel Fisher Microsoft (United States)
Gina Venolia
Gina Venolia Microsoft (United States)
Andrew Begel
Andrew Begel Carnegie Mellon University
Manuel Fähndrich
Manuel Fähndrich Google (United States)
Thomas Zimmermann
Thomas Zimmermann Microsoft (United States)
Mary Czerwinski
Mary Czerwinski Microsoft (United States)
Randy Pausch
Randy Pausch Carnegie Mellon University
Jonathan Goldstein
Jonathan Goldstein Microsoft (United States)
John Platt
John Platt Google (United States)

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