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
Engineering and Technology D-index 30 Citations 11,257 92 World Ranking 6125 National Ranking 2150

Research.com Recognitions

Awards & Achievements

2015 - IJCAI Award for Research Excellence for her pioneering research in Natural Language Processing and in theories and applications of Multiagent Collaboration.

2014 - Fellow of the Royal Society of Edinburgh

2008 - Member of the National Academy of Engineering For pioneering research in natural language communication between humans and computers and its application to human-computer interaction.

2008 - ACM AAAI Allen Newell Award For fundamental contributions to research in natural language processing and in multi-agent systems, for her leadership in the field of artificial intelligence, and for her role in the establishment and leadership of interdisciplinary institutions.

2004 - Fellow of the American Academy of Arts and Sciences

2003 - ACM Fellow For contributions to the study of human discourse.

1999 - AAAI Distinguished Service Award For her contributions to the field of artificial intelligence through sustained service in a multitude of academic, professional society, and government leadership roles, at the local, national and international levels, through which she has had a major effect on the field and on those working in it.

1990 - Fellow of the American Association for the Advancement of Science (AAAS)

1990 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI)

Overview

What is she best known for?

The fields of study she is best known for:

  • Artificial intelligence
  • Law
  • Programming language

Barbara J. Grosz focuses on Artificial intelligence, Natural language, Natural language processing, Computational linguistics and Utterance. Her work in the fields of Artificial intelligence, such as Rule-based machine translation, overlaps with other areas such as Stereochemistry, Single agent and Joint activity. Her Natural language study combines topics from a wide range of disciplines, such as Interpretation, Parsing, Semantic interpretation, Knowledge management and Expert system.

Barbara J. Grosz combines subjects such as Representation, Programming language, Conversation and Dialogic with her study of Natural language processing. Barbara J. Grosz usually deals with Computational linguistics and limits it to topics linked to Semantics and Perception, Cognitive psychology and Component. Her Utterance research is multidisciplinary, incorporating elements of Context, Subject, Rhetorical question and Information processing.

Her most cited work include:

  • Attention, intentions, and the structure of discourse (2283 citations)
  • Centering: a framework for modeling the local coherence of discourse (1585 citations)
  • Collaborative plans for complex group action (929 citations)

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

Her primary scientific interests are in Artificial intelligence, Knowledge management, Human–computer interaction, Natural language processing and Task. Barbara J. Grosz works mostly in the field of Artificial intelligence, limiting it down to topics relating to Context and, in certain cases, Group decision-making. The concepts of her Knowledge management study are interwoven with issues in Reputation, Software agent, Teamwork, Multi-agent system and Set.

Her research in Human–computer interaction focuses on subjects like Interface, which are connected to User interface. Her study in Natural language processing is interdisciplinary in nature, drawing from both Semantics and Representation. The study incorporates disciplines such as Utterance and Noun phrase in addition to Natural language.

She most often published in these fields:

  • Artificial intelligence (22.84%)
  • Knowledge management (17.90%)
  • Human–computer interaction (17.90%)

What were the highlights of her more recent work (between 2011-2021)?

  • Artificial intelligence (22.84%)
  • Knowledge management (17.90%)
  • Teamwork (7.41%)

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

Her primary areas of investigation include Artificial intelligence, Knowledge management, Teamwork, Human–computer interaction and Information sharing. Her Artificial intelligence study frequently draws connections between related disciplines such as Machine learning. Her work carried out in the field of Knowledge management brings together such families of science as Approximation algorithm, Health care, Group decision-making and Software agent.

Her Teamwork study combines topics in areas such as Tertiary care and Operations management. Her studies deal with areas such as Task and Flocking as well as Human–computer interaction. Her research in Information sharing intersects with topics in Software, Duration, Collaborative writing and Process management.

Between 2011 and 2021, her most popular works were:

  • Interactive teaching strategies for agent training (65 citations)
  • Embedded EthiCS: integrating ethics across CS education (32 citations)
  • From Care Plans to Care Coordination: Opportunities for Computer Support of Teamwork in Complex Healthcare (29 citations)

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

  • Artificial intelligence
  • Law
  • Programming language

Barbara J. Grosz mostly deals with Knowledge management, Health care, Human–computer interaction, Heuristics and Heuristic. Her work deals with themes such as Mechanism, Software agent, Teamwork, Multi-agent system and Decision problem, which intersect with Knowledge management. Her study in the fields of Chronic care and Digital health under the domain of Health care overlaps with other disciplines such as Mobile technology and Peer support.

Her Human–computer interaction research focuses on subjects like Domain, which are linked to Artificial intelligence. Barbara J. Grosz regularly links together related areas like Information sharing in her Artificial intelligence studies. In her articles, she combines various disciplines, including Heuristics and Point.

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

Attention, intentions, and the structure of discourse

Barbara J. Grosz;Candace L. Sidner.
Computational Linguistics (1986)

4537 Citations

Centering: a framework for modeling the local coherence of discourse

Barbara J. Grosz;Scott Weinstein;Aravind K. Joshi.
Computational Linguistics (1995)

2561 Citations

Collaborative plans for complex group action

Barbara J. Grosz;Sarit Kraus.
Artificial Intelligence (1996)

1464 Citations

Pronouns, Names, and the Centering of Attention in Discourse

Peter C. Gordon;Barbara J. Grosz;Laura A. Gilliom.
Cognitive Science (1993)

915 Citations

Plans for Discourse

Barbara J Grosz;Candace L Sidner.
(1988)

893 Citations

Attention, intention, and the structure of discourse

Barbara J. Grosz;C.L. Sidner.
(1986)

650 Citations

The representation and use of focus in dialogue understanding.

Barbara Jean Grosz.
(1977)

500 Citations

PROVIDING A UNIFIED ACCOUNT OF DEFINITE NOUN PHRASES IN DISCOURSE

Barbara J. Grosz;Aravind K. Joshi;Scott Weinstein.
meeting of the association for computational linguistics (1983)

486 Citations

TEAM: an experiment in the design of transportable natural-language interfaces

Barbara J. Grosz;Douglas E. Appelt;Paul A. Martin;Fernando C. N. Pereira.
Artificial Intelligence (1987)

450 Citations

Some Intonational Characteristics of Discourse Structure

Barbara J. Grosz;Julia Hirschberg.
conference of the international speech communication association (1992)

361 Citations

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