H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 35 Citations 8,396 101 World Ranking 5767 National Ranking 73

Research.com Recognitions

Awards & Achievements

2007 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to the fields of planning, reasoning, and knowledge representation.

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Programming language
  • Algorithm

Hector Geffner mainly focuses on Mathematical optimization, Artificial intelligence, Heuristics, Heuristic and Graphplan. Hector Geffner combines subjects such as Algorithm and Planner with his study of Mathematical optimization. His Artificial intelligence study integrates concerns from other disciplines, such as Probability distribution and Mathematical economics.

Hector Geffner has researched Heuristics in several fields, including Domain, Set and Incremental heuristic search. His Graphplan research is multidisciplinary, incorporating elements of Variation, Action selection, Benchmark and Search algorithm. His study looks at the relationship between Search algorithm and topics such as Context, which overlap with Best-first search.

His most cited work include:

  • Planning as heuristic search (771 citations)
  • Planning with incomplete information as heuristic search in belief space (296 citations)
  • Admissible heuristics for optimal planning (292 citations)

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

Hector Geffner spends much of his time researching Mathematical optimization, Artificial intelligence, Heuristics, Theoretical computer science and Algorithm. His biological study focuses on Heuristic. In his research, Variety is intimately related to Machine learning, which falls under the overarching field of Artificial intelligence.

His research investigates the link between Heuristics and topics such as Search algorithm that cross with problems in Operations research and Graphplan. His studies in Theoretical computer science integrate themes in fields like Domain, Representation, Computation and Set. His research investigates the connection with Algorithm and areas like Inference which intersect with concerns in Range and Management science.

He most often published in these fields:

  • Mathematical optimization (34.37%)
  • Artificial intelligence (28.12%)
  • Heuristics (19.38%)

What were the highlights of his more recent work (between 2017-2021)?

  • Theoretical computer science (16.88%)
  • Domain (7.50%)
  • Observable (11.25%)

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

Theoretical computer science, Domain, Observable, Set and Simple are his primary areas of study. His study in Theoretical computer science is interdisciplinary in nature, drawing from both Action selection and Representation. His research investigates the connection between Domain and topics such as Planner that intersect with issues in Syntax and Mathematical economics.

Observable is integrated with Mathematical optimization, Exponential function, Operations research, Dual and Simple in his research. His work carried out in the field of Mathematical optimization brings together such families of science as Reduction, Trajectory and Markov process. His Set research incorporates elements of Feature and Computation.

Between 2017 and 2021, his most popular works were:

  • Model-free, Model-based, and General Intelligence. (16 citations)
  • Learning Features and Abstract Actions for Computing Generalized Plans (11 citations)
  • Features, Projections, and Representation Change for Generalized Planning (8 citations)

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

  • Artificial intelligence
  • Programming language
  • Machine learning

Hector Geffner focuses on Observable, Theoretical computer science, Feature, Set and Flexibility. His study on Observable is intertwined with other disciplines of science such as Operations research, Probabilistic logic, Dual, Simple and Polynomial. His Theoretical computer science research incorporates themes from Soundness and Representation.

His Feature research includes themes of Correctness, Computation, State and Action. The study incorporates disciplines such as Domain and Planner in addition to Set. His research in Flexibility intersects with topics in Intelligent decision support system, Bayesian network and Artificial intelligence.

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

Planning as heuristic search

Blai Bonet;Héctor Geffner.
Artificial Intelligence (2001)

1303 Citations

Admissible heuristics for optimal planning

Patrik Haslum;Héctor Geffner.
international conference on artificial intelligence planning systems (2000)

491 Citations

Labeled RTDP: improving the convergence of real-time dynamic programming

Blai Bonet;Héctor Geffner.
international conference on automated planning and scheduling (2003)

386 Citations

Planning with incomplete information as heuristic search in belief space

Blai Bonet;Héctor Geffner.
international conference on artificial intelligence planning systems (2000)

384 Citations

Planning as Heuristic Search: New Results

Blai Bonet;Hector Geffner.
Lecture Notes in Computer Science (1999)

370 Citations

A robust and fast action selection mechanism for planning

Blai Bonet;Gábor Loerincs;Héctor Geffner.
national conference on artificial intelligence (1997)

340 Citations

Plan recognition as planning

Miquel Ramírez;Hector Geffner.
international joint conference on artificial intelligence (2009)

291 Citations

Probabilistic plan recognition using off-the-shelf classical planners

Miquel Ramírez;Hector Geffner.
national conference on artificial intelligence (2010)

285 Citations

Branching and pruning: An optimal temporal POCL planner based on constraint programming

Vincent Vidal;Héctor Geffner.
Artificial Intelligence (2006)

273 Citations

Conditional entailment: bridging two approaches to default reasoning

Hector Geffner;Judea Pearl.
Artificial Intelligence (1992)

246 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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