H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 64 Citations 20,173 320 World Ranking 1188 National Ranking 20

Research.com Recognitions

Awards & Achievements

2020 - ACM Athena Lecturer Award For foundational contributions to artificial intelligence, notably to multi-agent systems, human-agent interaction, autonomous agents and non-monotonic reasoning, and exemplary service and leadership in these fields.

2014 - ACM Fellow For contributions to artificial intelligence, including multi-agent systems, human-agent interaction and non-monotonic reasoning.

2012 - Member of Academia Europaea


What is she best known for?

The fields of study she is best known for:

  • Artificial intelligence
  • Law
  • Programming language

Her main research concerns Artificial intelligence, Negotiation, Game theory, Adversary and Knowledge management. Her Artificial intelligence research is multidisciplinary, incorporating perspectives in Theoretical computer science, Completeness, Set, Epistemology and Axiom. Her Negotiation research is multidisciplinary, incorporating elements of Management science, Field, Task, Human–computer interaction and Outcome.

Her Game theory study incorporates themes from Stackelberg competition, Structure and Operations research. Her Adversary research incorporates elements of Adversarial system, Knowledge base, Robot, Key and Patrolling. The Knowledge management study combines topics in areas such as Intelligent agent, Teamwork, Multi-agent system, Autonomous agent and Process management.

Her most cited work include:

  • Nonmonotonic reasoning, preferential models and cumulative logics (1349 citations)
  • Methods for task allocation via agent coalition formation (956 citations)
  • Collaborative plans for complex group action (929 citations)

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

Sarit Kraus spends much of her time researching Artificial intelligence, Negotiation, Knowledge management, Human–computer interaction and Computer security. Her Artificial intelligence study deals with Task intersecting with Distributed computing. Her study in Negotiation is interdisciplinary in nature, drawing from both Variety, Management science, Game theory and Complete information.

Her work in Knowledge management tackles topics such as Teamwork which are related to areas like Multi-agent system. Her study ties her expertise on Intelligent agent together with the subject of Human–computer interaction. Her Adversary research focuses on subjects like Patrolling, which are linked to Stackelberg competition.

She most often published in these fields:

  • Artificial intelligence (26.15%)
  • Negotiation (21.35%)
  • Knowledge management (12.69%)

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

  • Artificial intelligence (26.15%)
  • Human–computer interaction (10.58%)
  • Reinforcement learning (2.69%)

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

Her primary areas of study are Artificial intelligence, Human–computer interaction, Reinforcement learning, Robot and Negotiation. In her work, Sarit Kraus performs multidisciplinary research in Artificial intelligence and Observable. Her Human–computer interaction study combines topics in areas such as Intelligent agent, Variety, User modeling and State.

Her research in Reinforcement learning intersects with topics in Learning environment, Human knowledge and Operations research. Her Robot study also includes

  • Adversarial system that intertwine with fields like Patrolling and Adversary,
  • Task which connect with Heuristics. While the research belongs to areas of Negotiation, Sarit Kraus spends her time largely on the problem of Game theory, intersecting her research to questions surrounding Management science, Multitude, Deliberation and Human agent.

Between 2015 and 2021, her most popular works were:

  • Strategical Argumentative Agent for Human Persuasion. (47 citations)
  • Providing Arguments in Discussions on the Basis of the Prediction of Human Argumentative Behavior (36 citations)
  • Predicting Human Decision-Making: From Prediction to Action (33 citations)

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

  • Artificial intelligence
  • Law
  • Programming language

Sarit Kraus focuses on Artificial intelligence, Human–computer interaction, Reinforcement learning, Negotiation and Social network. Artificial intelligence is often connected to Task in her work. Sarit Kraus combines subjects such as Knowledge management, Search and rescue, Intelligent agent, Mobile robot and Variety with her study of Human–computer interaction.

Her research investigates the connection with Knowledge management and areas like Argumentative which intersect with concerns in Heuristics. Her research integrates issues of Operator, Action, Autonomous agent, Decision theory and Game theory in her study of Mobile robot. Her Negotiation research is multidisciplinary, relying on both Academic achievement, Social psychology, Table and Economic model.

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.

Top Publications

Nonmonotonic reasoning, preferential models and cumulative logics

Sarit Kraus;Daniel Lehmann;Menachem Magidor.
Artificial Intelligence (1990)

2072 Citations

Collaborative plans for complex group action

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

1464 Citations

Methods for task allocation via agent coalition formation

Onn Shehory;Sarit Kraus.
Artificial Intelligence (1998)

1432 Citations

Reaching agreements through argumentation: a logical model and implementation

Sarit Kraus;Katia Sycara;Amir Evenchik.
Artificial Intelligence (1998)

787 Citations

Strategic Negotiation in Multiagent Environments

Sarit Kraus.

770 Citations

Negotiation and cooperation in multi-agent environments

Sarit Kraus;Sarit Kraus.
Artificial Intelligence (1997)

714 Citations

Multiagent negotiation under time constraints

Sarit Kraus;Jonathan Wilkenfeld;Gilad Zlotkin.
Artificial Intelligence (1995)

501 Citations

Playing games for security: an efficient exact algorithm for solving Bayesian Stackelberg games

Praveen Paruchuri;Jonathan P. Pearce;Janusz Marecki;Milind Tambe.
adaptive agents and multi agents systems (2008)

486 Citations

Deployed ARMOR protection: the application of a game theoretic model for security at the Los Angeles International Airport

James Pita;Manish Jain;Janusz Marecki;Fernando Ordóñez.
adaptive agents and multi agents systems (2008)

422 Citations


Chitta Baral;Sarit Kraus;Jack Minker;V. S. Subrahmanian.
computational intelligence (1992)

337 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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