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 37 Citations 5,881 207 World Ranking 6831 National Ranking 121

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Machine learning

The scientist’s investigation covers issues in Robot, Artificial intelligence, Robustness, Patrolling and Motion planning. His Robot study combines topics from a wide range of disciplines, such as Adversarial system, Adversary, Terrain and Mathematical optimization. His research integrates issues of Frontier, Machine learning and Process in his study of Artificial intelligence.

The study incorporates disciplines such as State and Human–computer interaction in addition to Machine learning. His work in Human–computer interaction covers topics such as Intelligent agent which are related to areas like Teamwork. His studies examine the connections between Robustness and genetics, as well as such issues in Distributed computing, with regards to Adaptation and Adaptive system.

His most cited work include:

  • Multi-robot perimeter patrol in adversarial settings (219 citations)
  • Ad hoc autonomous agent teams: collaboration without pre-coordination (207 citations)
  • Monitoring teams by overhearing: a multi-agent plan-recognition approach (135 citations)

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

Gal A. Kaminka mainly investigates Artificial intelligence, Robot, Teamwork, Task and Human–computer interaction. The concepts of his Artificial intelligence study are interwoven with issues in Machine learning, Social comparison theory and Computer vision. His research in Robot intersects with topics in Adversarial system, Mathematical optimization and Patrolling.

His studies deal with areas such as Key, Software engineering and Knowledge management as well as Teamwork. His study focuses on the intersection of Task and fields such as Set with connections in the field of Advice. His research investigates the connection between Human–computer interaction and topics such as Mirroring that intersect with issues in Goal recognition.

He most often published in these fields:

  • Artificial intelligence (42.34%)
  • Robot (36.49%)
  • Teamwork (16.22%)

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

  • Artificial intelligence (42.34%)
  • Robot (36.49%)
  • Mirroring (4.50%)

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

Gal A. Kaminka focuses on Artificial intelligence, Robot, Mirroring, Human–computer interaction and Goal recognition. His Artificial intelligence research incorporates themes from Machine learning, Contrast, Task and Computer vision. The Robot study combines topics in areas such as Swarm behaviour, Mathematical optimization and Real-time computing.

Gal A. Kaminka has included themes like Plan recognition and Plan in his Human–computer interaction study. The various areas that Gal A. Kaminka examines in his Goal recognition study include Motion, Heuristics and Heuristic. His Robotics research incorporates elements of Computer security, Adversary, Field and Adversarial system.

Between 2014 and 2019, his most popular works were:

  • Online data-driven anomaly detection in autonomous robots (31 citations)
  • Heuristic Online Goal Recognition in Continuous Domains (17 citations)
  • Online goal recognition through mirroring: humans and agents (16 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

Multi-robot area patrol under frequency constraints

Yehuda Elmaliach;Noa Agmon;Gal A. Kaminka.
Annals of Mathematics and Artificial Intelligence (2009)

325 Citations

Multi-robot perimeter patrol in adversarial settings

N. Agmon;S. Kraus;G.A. Kaminka.
(2008)

313 Citations

Ad hoc autonomous agent teams: collaboration without pre-coordination

Peter Stone;Gal A. Kaminka;Sarit Kraus;Jeffrey S. Rosenschein.
(2010)

297 Citations

Gamebots: A 3D Virtual World Test-Bed For Multi-Agent Research

Rogelio Adobbati;Andrew N. Marshall;Andrew Scholer;Sheila Tejada.
(2001)

246 Citations

Monitoring teams by overhearing: a multi-agent plan-recognition approach

Gal A. Kaminka;David V. Pynadath;Milind Tambe.
(2002)

233 Citations

ESCAPES: evacuation simulation with children, authorities, parents, emotions, and social comparison

Jason Tsai;Natalie Fridman;Emma Bowring;Matthew Brown.
(2011)

220 Citations

GameBots: a flexible test bed for multiagent team research

Gal A. Kaminka;Manuela M. Veloso;Steve Schaffer;Chris Sollitto.
Communications of The ACM (2002)

209 Citations

Redundancy, Efficiency and Robustness in Multi-Robot Coverage

N. Hazon;G.A. Kaminka.
international conference on robotics and automation (2005)

177 Citations

Building agent teams using an explicit teamwork model and learning

Milind Tambe;Jafar Adibi;Yaser Al-Onaizan;Ali Erdem.
(1999)

165 Citations

Fast and complete symbolic plan recognition

Dorit Avrahami-Zilberbrand;Gal A. Kaminka.
international joint conference on artificial intelligence (2005)

161 Citations

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