D-Index & Metrics Best Publications

D-Index & Metrics 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.

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 33 Citations 6,142 128 World Ranking 8511 National Ranking 3938

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Programming language
  • Software

His scientific interests lie mostly in Human–computer interaction, Programmer, Software engineering, User interface and Programming language. The study incorporates disciplines such as Knowledge management, Software, Focus and Software agent in addition to Human–computer interaction. He combines subjects such as Software development, Computer programming, Procedural programming, Artificial intelligence and Programming paradigm with his study of Software engineering.

Charles Rich has included themes like Personal software process and Search-based software engineering in his Artificial intelligence study. Charles Rich usually deals with User interface and limits it to topics linked to Multimedia and Graphical user interface and Interactive systems engineering. His Programming language research focuses on Representation and how it connects with Independence, Program transformation, Data structure and Common Lisp.

His most cited work include:

  • Explorations in engagement for humans and robots (380 citations)
  • Collagen: applying collaborative discourse theory to human-computer interaction (262 citations)
  • COLLAGEN: A Collaboration Manager for Software Interface Agents (240 citations)

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

His primary scientific interests are in Human–computer interaction, Artificial intelligence, Software engineering, Robot and Multimedia. His research in Human–computer interaction intersects with topics in Graphical user interface, User interface, Task, Software agent and Interface. His work on Robotics as part of general Artificial intelligence study is frequently connected to Context, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.

He focuses mostly in the field of Software engineering, narrowing it down to topics relating to Programmer and, in certain cases, Knowledge representation and reasoning. His Robot research incorporates themes from Engineering ethics and Gesture. His Multimedia research is multidisciplinary, incorporating elements of Virtual reality and Personalization.

He most often published in these fields:

  • Human–computer interaction (45.80%)
  • Artificial intelligence (20.61%)
  • Software engineering (19.08%)

What were the highlights of his more recent work (between 2014-2019)?

  • Robot (16.03%)
  • Human–computer interaction (45.80%)
  • Context (7.63%)

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

Charles Rich spends much of his time researching Robot, Human–computer interaction, Context, Human–robot interaction and Artificial intelligence. His work deals with themes such as Emerging technologies, Virtual agent and Embodied cognition, which intersect with Robot. His work on SIMPLE expands to the thematically related Human–computer interaction.

His studies in Human–robot interaction integrate themes in fields like Dialog box, Function and Gesture. His Artificial intelligence study frequently draws connections to other fields, such as Task. Charles Rich works mostly in the field of Task, limiting it down to topics relating to Robotics and, in certain cases, Data flow diagram, Graphical user interface, Task analysis and Machine learning, as a part of the same area of interest.

Between 2014 and 2019, his most popular works were:

  • Interactive Hierarchical Task Learning from a Single Demonstration (58 citations)
  • Creating New Technologies for Companionable Agents to Support Isolated Older Adults (16 citations)
  • Towards Robot Adaptability in New Situations. (13 citations)

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

Explorations in engagement for humans and robots

Candace L. Sidner;Christopher Lee;Cory D. Kidd;Neal Lesh.
Artificial Intelligence (2005)

595 Citations

COLLAGEN: A Collaboration Manager for Software Interface Agents

Charles Rich;Candace L. Sidner.
User Modeling and User-adapted Interaction (1998)

399 Citations

Collagen: applying collaborative discourse theory to human-computer interaction

Charles Rich;Candace L. Sidner;Neal Lesh.
Ai Magazine (2001)

387 Citations

Recognizing a program's design: a graph-parsing approach

C. Rich;L.M. Wills.
IEEE Software (1990)

305 Citations

The Programmer's Apprentice: a research overview

C. Rich;R.C. Waters.
IEEE Computer (1988)

288 Citations

Non-Verbal Cues for Discourse Structure

Justine Cassell;Yukiko Nakano;Timothy W. Bickmore;Candace L. Sidner.
meeting of the association for computational linguistics (2001)

256 Citations

COLLAGEN: when agents collaborate with people

Charles Rich;Candace L. Sidner.
adaptive agents and multi-agents systems (1997)

247 Citations

The programmer's apprentice

Charles Rich;Richard C. Waters.
Artificial intelligence at MIT expanding frontiers (1990)

239 Citations

Automatic programming: myths and prospects

C. Rich;R.C. Waters.
IEEE Computer (1988)

238 Citations

Using plan recognition in human-computer collaboration

Neal Lesh;Charles Rich;Candace L. Sidner.
international conference on user modeling, adaptation, and personalization (1999)

210 Citations

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