D-Index & Metrics Best Publications
Research.com 2022 Best Female Scientist Award Badge

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 90 Citations 36,125 400 World Ranking 255 National Ranking 155
Electronics and Electrical Engineering D-index 77 Citations 24,977 274 World Ranking 166 National Ranking 92
Best female scientists D-index 98 Citations 39,772 591 World Ranking 962 National Ranking 603

Research.com Recognitions

Awards & Achievements

2022 - Research.com Best Female Scientist Award

2020 - ACM Fellow For contributions to socially assistive robotics and human-robot systems

2011 - IEEE Fellow For contributions to robot coordination and learning in human-robot systems

2007 - Fellow of the American Association for the Advancement of Science (AAAS)

2007 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

What is she best known for?

The fields of study she is best known for:

  • Artificial intelligence
  • Robot
  • Statistics

The scientist’s investigation covers issues in Artificial intelligence, Robot, Mobile robot, Robotics and Task. Her work is dedicated to discovering how Artificial intelligence, Computer vision are connected with Set and other disciplines. Her Robot study integrates concerns from other disciplines, such as Simulation, Distributed computing and Human–computer interaction.

Her biological study spans a wide range of topics, including Assistive robotics and Grand Challenges. Maja J. Matarić combines subjects such as Control system, Group behavior, Cognitive science and Field with her study of Robotics. Her research integrates issues of Optimization problem, Key and Models of communication in her study of Task.

Her most cited work include:

  • Mobile Sensor Network Deployment using Potential Fields: A Distributed, Scalable Solution to the Area Coverage Problem (1225 citations)
  • A Formal Analysis and Taxonomy of Task Allocation in Multi-Robot Systems (1166 citations)
  • Sold!: auction methods for multirobot coordination (899 citations)

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

Her main research concerns Robot, Artificial intelligence, Human–computer interaction, Mobile robot and Task. Her work carried out in the field of Robot brings together such families of science as Distributed computing, Context and Simulation. Maja J. Matarić interconnects Machine learning and Computer vision in the investigation of issues within Artificial intelligence.

As a member of one scientific family, Maja J. Matarić mostly works in the field of Human–computer interaction, focusing on Human–robot interaction and, on occasion, Proxemics. Her research combines Motion planning and Mobile robot. Her research on Robot control often connects related areas such as Control engineering.

She most often published in these fields:

  • Robot (49.60%)
  • Artificial intelligence (46.20%)
  • Human–computer interaction (31.34%)

What were the highlights of her more recent work (between 2015-2021)?

  • Robot (49.60%)
  • Human–computer interaction (31.34%)
  • Human–robot interaction (14.38%)

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

Her primary areas of investigation include Robot, Human–computer interaction, Human–robot interaction, Artificial intelligence and Assistive robot. Her Robot research includes themes of Nonverbal communication, Task, Psychological intervention and Gesture. The concepts of her Human–computer interaction study are interwoven with issues in Assistive robotics, Personalization, Humanoid robot and Embodied cognition.

Her Human–robot interaction research integrates issues from Multimedia, Situated, Probabilistic logic, Task analysis and Reinforcement learning. Her Artificial intelligence study incorporates themes from Machine learning and Computer vision. Mobile robot covers Maja J. Matarić research in Robot control.

Between 2015 and 2021, her most popular works were:

  • Socially assistive robotics: Human augmentation versus automation (57 citations)
  • Autonomous human---robot proxemics: socially aware navigation based on interaction potential (50 citations)
  • Socially Assistive Robotics (40 citations)

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

  • Artificial intelligence
  • Statistics
  • Machine learning

Her primary scientific interests are in Robot, Human–computer interaction, Human–robot interaction, Artificial intelligence and Assistive robotics. Her studies in Robot integrate themes in fields like Multimedia and Task. In the field of Human–computer interaction, her study on Human machine interaction overlaps with subjects such as Diversity.

In Human–robot interaction, she works on issues like Situated, which are connected to Value. Her research in Artificial intelligence is mostly concerned with Robotics. Her research in Social robot intersects with topics in Robot learning and Computer vision.

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

Mobile Sensor Network Deployment using Potential Fields: A Distributed, Scalable Solution to the Area Coverage Problem

Andrew Howard;Maja J. Matarić;Gaurav S. Sukhatme.
distributed autonomous robotic systems (2002)

1680 Citations

A Formal Analysis and Taxonomy of Task Allocation in Multi-Robot Systems

Brian P. Gerkey;Maja J. Matarić.
The International Journal of Robotics Research (2004)

1431 Citations

Sold!: auction methods for multirobot coordination

B.P. Gerkey;M.J. Mataric.
international conference on robotics and automation (2002)

1348 Citations

Integration of representation into goal-driven behavior-based robots

M.J. Mataric.
international conference on robotics and automation (1992)

870 Citations

An Incremental Self-Deployment Algorithm for Mobile Sensor Networks

Andrew Howard;Maja J. Matarić;Gaurav S. Sukhatme.
Autonomous Robots (2002)

827 Citations

Robots for Use in Autism Research

Brian Scassellati;Henny Admoni;Maja J. Matarić.
Annual Review of Biomedical Engineering (2012)

826 Citations

Defining socially assistive robotics

D. Feil-Seifer;M.J. Mataric.
international conference on rehabilitation robotics (2005)

816 Citations

Reinforcement learning in the multi-robot domain

Maja J. Mataric.
Autonomous Robots (1997)

667 Citations

Interaction and intelligent behavior

Maja J. Mataric.
(1994)

625 Citations

Behaviour-based control: examples from navigation, learning, and group behaviour

Maja J. Mataric.
Journal of Experimental and Theoretical Artificial Intelligence (1997)

613 Citations

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