H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 34 Citations 8,966 123 World Ranking 6220 National Ranking 299

Research.com Recognitions

Awards & Achievements

2021 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to AI planning and related areas, particularly in the design and analysis of heuristic functions and other search methods.

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Programming language
  • Algorithm

Jörg Hoffmann mainly investigates Heuristic, Mathematical optimization, Artificial intelligence, Incremental heuristic search and Relaxation. His Heuristic study incorporates themes from Possible world, Representation, Search problem, Range and Sequence. The various areas that Jörg Hoffmann examines in his Artificial intelligence study include Machine learning and Heuristic.

His Machine learning research is multidisciplinary, incorporating elements of Ontology, Best-first search, State space search and Partial-order planning. His Incremental heuristic search study is concerned with the field of Beam search as a whole. Jörg Hoffmann usually deals with Planning Domain Definition Language and limits it to topics linked to Axiom and Domain and Theoretical computer science.

His most cited work include:

  • The FF planning system: fast plan generation through heuristic search (1534 citations)
  • The metric-FF planning system: translating Ignoring delete lists to numeric state variables (373 citations)
  • Extending Planning Graphs to an ADL Subset (262 citations)

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

Jörg Hoffmann mainly investigates Heuristic, Theoretical computer science, Mathematical optimization, Artificial intelligence and Algorithm. Jörg Hoffmann interconnects Relaxation, State, Task, Heuristics and Benchmark in the investigation of issues within Heuristic. His work deals with themes such as Abstraction and Set, which intersect with Heuristics.

In his study, which falls under the umbrella issue of Theoretical computer science, Ontology is strongly linked to Web service. His work on Incremental heuristic search as part of general Mathematical optimization research is often related to State variable, thus linking different fields of science. His research on Artificial intelligence frequently links to adjacent areas such as Machine learning.

He most often published in these fields:

  • Heuristic (24.12%)
  • Theoretical computer science (20.60%)
  • Mathematical optimization (18.09%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (15.58%)
  • Automated planning and scheduling (11.06%)
  • Data sharing (2.51%)

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

Jörg Hoffmann focuses on Artificial intelligence, Automated planning and scheduling, Data sharing, Law and economics and Intellectual property. Artificial intelligence connects with themes related to State in his study. His research investigates the connection with Automated planning and scheduling and areas like Programming language which intersect with concerns in Abstraction and Structure.

His Artificial neural network research includes elements of Range, Heuristics, Heuristic and Hyperparameter. His Heuristics study combines topics in areas such as Theoretical computer science, Abstraction and Table. Jörg Hoffmann studied Benchmark and Mathematical optimization that intersect with Component.

Between 2018 and 2021, his most popular works were:

  • A new approach to plan-space explanation: analyzing plan-property dependencies in oversubscription planning (8 citations)
  • Neural Network Heuristics for Classical Planning: A Study of Hyperparameter Space (5 citations)
  • Deep Statistical Model Checking (5 citations)

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

  • Artificial intelligence
  • Programming language
  • Algorithm

His primary areas of investigation include Artificial intelligence, Automated planning and scheduling, Software engineering, Model checking and Automation. His studies deal with areas such as Machine learning, Perspective and Digital economy as well as Artificial intelligence. His work on Markov chain as part of general Machine learning study is frequently linked to Verifiable secret sharing, therefore connecting diverse disciplines of science.

His Automated planning and scheduling study combines topics from a wide range of disciplines, such as Completeness, Property, Logical consequence and Operations research. His studies in Software engineering integrate themes in fields like Natural language generation and Description logic. His Artificial neural network research is multidisciplinary, incorporating perspectives in Heuristic, Heuristics, Hyperparameter, Range and Generalization.

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

The FF planning system: fast plan generation through heuristic search

Jörg Hoffmann;Bernhard Nebel.
Journal of Artificial Intelligence Research (2001)

2518 Citations

The metric-FF planning system: translating Ignoring delete lists to numeric state variables

Jörg Hoffmann.
Journal of Artificial Intelligence Research (2003)

646 Citations

Extending Planning Graphs to an ADL Subset

Jana Koehler;Bernhard Nebel;Jörg Hoffmann;Yannis Dimopoulos.
Lecture Notes in Computer Science (1997)

415 Citations

Ordered landmarks in planning

Jörg Hoffmann;Julie Porteous;Laura Sebastia.
Journal of Artificial Intelligence Research (2004)

370 Citations

Flexible abstraction heuristics for optimal sequential planning

Malte Helmert;Patrik Haslum;Jorg Hoffmann.
international conference on automated planning and scheduling (2007)

315 Citations

Conformant planning via heuristic forward search: a new approach

Jörg Hoffmann;Ronen I. Brafman.
Artificial Intelligence (2006)

268 Citations

Contingent planning via heuristic forward search with implicit belief states

Jörg Hoffmann;Ronen I. Brafman.
international conference on automated planning and scheduling (2005)

253 Citations

Conformant planning via heuristic forward search: a new approach

Ronen I. Brafman;Jörg Hoffmann.
international conference on automated planning and scheduling (2004)

244 Citations

Contingent Planning via Heuristic Forward Search with Implicit Belief States

Jörg Hoffmann;Ronen Brafman;Susanne Biundo;Karen Meyers.
Untitled Event (2005)

236 Citations

In defense of PDDL axioms

Sylvie Thiébaux;Jörg Hoffmann;Bernhard Nebel.
Artificial Intelligence (2005)

179 Citations

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