H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology H-index 30 Citations 4,126 112 World Ranking 6637 National Ranking 2316

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Programming language

His primary areas of investigation include Artificial intelligence, Case-based reasoning, Plan, Hierarchical task network and Flow shop scheduling. In the field of Artificial intelligence, his study on Game design overlaps with subjects such as Non-cooperative game. Héctor Muñoz-Avila combines subjects such as Qualitative reasoning, Applied research, Knowledge management, Reasoning system and Data science with his study of Case-based reasoning.

His Plan study combines topics in areas such as Generative grammar and Operations research. He has included themes like Machine learning, Soundness and Knowledge engineering in his Hierarchical task network study. His Flow shop scheduling research overlaps with Order and Planner.

His most cited work include:

  • SHOP: Simple Hierarchical Ordered Planner (370 citations)
  • Conversational Case-Based Reasoning (178 citations)
  • Total-order planning with partially ordered subtasks (120 citations)

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

His main research concerns Artificial intelligence, Plan, Case-based reasoning, Domain and Hierarchical task network. His work in Artificial intelligence covers topics such as Machine learning which are related to areas like Domain knowledge. His Plan research is multidisciplinary, relying on both Human–computer interaction and Adaptation.

His research investigates the connection between Case-based reasoning and topics such as Operations research that intersect with problems in Planning algorithms. He has researched Domain in several fields, including Set, Business system planning and Nondeterministic algorithm. His research investigates the link between Hierarchical task network and topics such as Software engineering that cross with problems in Project plan.

He most often published in these fields:

  • Artificial intelligence (56.12%)
  • Plan (30.22%)
  • Case-based reasoning (23.74%)

What were the highlights of his more recent work (between 2012-2021)?

  • Artificial intelligence (56.12%)
  • Autonomy (7.19%)
  • Goal reasoning (4.32%)

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

His scientific interests lie mostly in Artificial intelligence, Autonomy, Goal reasoning, Multimedia and Hierarchical task network. The concepts of his Artificial intelligence study are interwoven with issues in Domain, Machine learning and Action. His biological study deals with issues like Case-based reasoning, which deal with fields such as State.

The various areas that Héctor Muñoz-Avila examines in his Goal reasoning study include Robotics, Management science, Knowledge management and Natural language processing. His Hierarchical task network study frequently draws connections to other fields, such as Set. His Plan research includes themes of Ontology, Information retrieval, Key and Abstraction.

Between 2012 and 2021, his most popular works were:

  • Multimodal Entity Coreference for Cervical Dysplasia Diagnosis (39 citations)
  • Learning hierarchical task network domains from partially observed plan traces (32 citations)
  • MIDCA: a metacognitive, integrated dual-cycle architecture for self-regulated autonomy (23 citations)

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

  • Artificial intelligence
  • Machine learning
  • Programming language

Héctor Muñoz-Avila focuses on Artificial intelligence, Hierarchical task network, Autonomy, Action and Course of action. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Management science and Knowledge management. His Hierarchical task network research is multidisciplinary, incorporating perspectives in Domain, Machine learning and Set.

Héctor Muñoz-Avila has researched Domain in several fields, including Solver and Hierarchical control system. His research integrates issues of Consistency, Representation and Domain knowledge in his study of Machine learning. He integrates many fields, such as Course of action and engineering, in his works.

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

SHOP: Simple Hierarchical Ordered Planner

Dana S. Nau;Yue Cao;Amnon Lotem;Hector Muñoz-Avila.
international joint conference on artificial intelligence (1999)

662 Citations

Conversational Case-Based Reasoning

David W. Aha;Leonard A. Breslow;Héctor Muñoz-Avila.
Applied Intelligence (2001)

296 Citations

Applications of SHOP and SHOP2

D. Nau;T.-C. Au;O. Ilghami;U. Kuter.
IEEE Intelligent Systems (2005)

208 Citations

Total-order planning with partially ordered subtasks

Dana Nau;Héctor Muñoz-Avila;Yue Cao;Amnon Lotem.
international joint conference on artificial intelligence (2001)

198 Citations

HTN-MAKER: learning HTNs with minimal additional knowledge engineering required

Chad Hogg;Héctor Muñoz-Avila;Ugur Kuter.
national conference on artificial intelligence (2008)

124 Citations

Hierarchical plan representations for encoding strategic game AI

Hai Hoang;Stephen Lee-Urban;Héctor Muñoz-Avila.
national conference on artificial intelligence (2005)

116 Citations

HICAP: an interactive case-based planning architecture and its application to noncombatant evacuation operations

Héctor Muñoz-Avila;David W. Aha;Len Breslow;Dana Nau.
national conference on artificial intelligence (1999)

110 Citations

Automatically Generating Game Tactics through Evolutionary Learning

Marc J. V. Ponsen;Hector Muñoz-Avila;Pieter Spronck;David W. Aha.
innovative applications of artificial intelligence (2006)

106 Citations

Case-based reasoning integrations

Cynthia Marling;Mohammed Sqalli;Edwina Rissland;Hector Muñoz-Avila.
Ai Magazine (2002)

104 Citations

Case-Based Plan Adaptation: An Analysis and Review

H. Munoz-Avila;M.T. Cox.
IEEE Intelligent Systems (2008)

91 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.

If you think any of the details on this page are incorrect, let us know.

Contact us

Top Scientists Citing Héctor Muñoz-Avila

David W. Aha

David W. Aha

United States Naval Research Laboratory

Publications: 51

Dana S. Nau

Dana S. Nau

University of Maryland, College Park

Publications: 32

Manfred Reichert

Manfred Reichert

University of Ulm

Publications: 26

Barry Smyth

Barry Smyth

University College Dublin

Publications: 24

Barbara Weber

Barbara Weber

University of St. Gallen

Publications: 23

David B. Leake

David B. Leake

Indiana University

Publications: 19

Pat Langley

Pat Langley

Stanford University

Publications: 18

Ashok K. Goel

Ashok K. Goel

Georgia Institute of Technology

Publications: 16

Zhen Liu

Zhen Liu

IROOTECH

Publications: 16

Subbarao Kambhampati

Subbarao Kambhampati

Arizona State University

Publications: 16

Qiang Yang

Qiang Yang

Hong Kong University of Science and Technology

Publications: 13

Michael Mateas

Michael Mateas

University of California, Santa Cruz

Publications: 12

Alessandro Saffiotti

Alessandro Saffiotti

Örebro University

Publications: 12

Anand Ranganathan

Anand Ranganathan

IBM (United States)

Publications: 11

Rachid Alami

Rachid Alami

Centre national de la recherche scientifique, CNRS

Publications: 11

Something went wrong. Please try again later.