D-Index & Metrics Best Publications

D-Index & Metrics

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
Engineering and Technology D-index 30 Citations 5,509 90 World Ranking 6772 National Ranking 61

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Algorithm

The scientist’s investigation covers issues in Artificial intelligence, Mathematical optimization, Machine learning, Information retrieval and Ceteris paribus. Carmel Domshlak incorporates Artificial intelligence and Preference elicitation in his studies. His Optimization problem and Heuristic study in the realm of Mathematical optimization interacts with subjects such as Point, Upper and lower bounds and Intuition.

The various areas that Carmel Domshlak examines in his Machine learning study include Domain and Decision analysis. The Query language research he does as part of his general Information retrieval study is frequently linked to other disciplines of science, such as Preference learning, therefore creating a link between diverse domains of science. His Ceteris paribus research includes elements of Mathematical economics, Inference, Preference relation, Outcome and Set.

His most cited work include:

  • CP-nets: a tool for representing and reasoning with conditional ceteris paribus preference statements (822 citations)
  • Landmarks, critical paths and abstractions: what's the difference anyway? (257 citations)
  • CP-nets: A Tool for Representing and Reasoning withConditional Ceteris Paribus Preference Statements (207 citations)

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

His primary scientific interests are in Mathematical optimization, Artificial intelligence, Theoretical computer science, Heuristic and Heuristics. In general Mathematical optimization, his work in Constrained optimization and Search algorithm is often linked to Semantics linking many areas of study. His Artificial intelligence research integrates issues from Machine learning and Information retrieval.

His work in Theoretical computer science tackles topics such as Algorithm which are related to areas like Structure. As part of one scientific family, Carmel Domshlak deals mainly with the area of Heuristic, narrowing it down to issues related to the Probabilistic logic, and often Observability. His work carried out in the field of Heuristics brings together such families of science as Consistent heuristic, Admissible heuristic, Optimal planning and Landmark.

He most often published in these fields:

  • Mathematical optimization (29.51%)
  • Artificial intelligence (27.87%)
  • Theoretical computer science (22.13%)

What were the highlights of his more recent work (between 2013-2016)?

  • Mathematical optimization (29.51%)
  • Search algorithm (6.56%)
  • Tree (5.74%)

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

His main research concerns Mathematical optimization, Search algorithm, Tree, Artificial intelligence and Theoretical computer science. His work in the fields of Mathematical optimization, such as Heuristic, Heuristics and Sequential decision, intersects with other areas such as Markov decision process and Line. Carmel Domshlak has included themes like Feature, State and Pruning in his Search algorithm study.

The study incorporates disciplines such as Field, Multi-agent system and Multi-armed bandit in addition to Tree. His work in Artificial intelligence is not limited to one particular discipline; it also encompasses Machine learning. In his work, Polynomial and Domain is strongly intertwined with Algorithm, which is a subfield of Theoretical computer science.

Between 2013 and 2016, his most popular works were:

  • Red-black planning (31 citations)
  • Simple regret optimization in online planning for Markov decision processes (28 citations)
  • Integrating Task and Motion Planning for Unmanned Aerial Vehicles (21 citations)

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

  • Artificial intelligence
  • Machine learning
  • Algorithm

Carmel Domshlak mainly investigates Mathematical optimization, Context, Sample, Generalization and Regret. Mathematical optimization and Scheme are two areas of study in which he engages in interdisciplinary research. His Context research covers fields of interest such as Range, Relaxation, Satisficing, Heuristics and Semantics.

His Sample research overlaps with Markov decision process, Tree traversal, Reduction and Outcome.

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

CP-nets: a tool for representing and reasoning with conditional ceteris paribus preference statements

Craig Boutilier;Ronen I. Brafman;Carmel Domshlak;Holger H. Hoos.
Journal of Artificial Intelligence Research (2004)

1172 Citations

Landmarks, critical paths and abstractions: what's the difference anyway?

Malte Helmert;Carmel Domshlak.
international conference on automated planning and scheduling (2009)

484 Citations

CP-nets: A Tool for Representing and Reasoning withConditional Ceteris Paribus Preference Statements

C. Boutilier;R. I. Brafman;C. Domshlak;H. H. Hoos.
arXiv: Artificial Intelligence (2011)

354 Citations

From one to many: planning for loosely coupled multi-agent systems

Ronen I. Brafman;Carmel Domshlak.
international conference on automated planning and scheduling (2008)

263 Citations

Preference-Based Constrained Optimization with CP-Nets

Craig Boutilier;Ronen I. Brafman;Carmel Domshlak;Holger H. Hoos.
computational intelligence (2004)

241 Citations

On graphical modeling of preference and importance

Ronen I. Brafman;Carmel Domshlak;Solomon E. Shimony.
Journal of Artificial Intelligence Research (2006)

219 Citations

Cost-optimal planning with landmarks

Erez Karpas;Carmel Domshlak.
international joint conference on artificial intelligence (2009)

203 Citations

Preferences in AI: An overview

Carmel Domshlak;Eyke Hüllermeier;Souhila Kaci;Henri Prade.
Artificial Intelligence (2011)

202 Citations

Introducing variable importance tradeoffs into CP-nets

Ronen I. Brafman;Carmel Domshlak.
uncertainty in artificial intelligence (2002)

162 Citations

Preference Handling - An Introductory Tutorial

Ronen I. Brafman;Carmel Domshlak.
Ai Magazine (2009)

147 Citations

Best Scientists Citing Carmel Domshlak

Malte Helmert

Malte Helmert

University of Basel

Publications: 60

Jörg Hoffmann

Jörg Hoffmann

Saarland University

Publications: 54

Francesca Rossi

Francesca Rossi

IBM (United States)

Publications: 41

Jérôme Lang

Jérôme Lang

Paris Dauphine University

Publications: 37

Henri Prade

Henri Prade

Paul Sabatier University

Publications: 33

Didier Dubois

Didier Dubois

Centre national de la recherche scientifique, CNRS

Publications: 30

Ronen I. Brafman

Ronen I. Brafman

Ben-Gurion University of the Negev

Publications: 30

Thomas Lukasiewicz

Thomas Lukasiewicz

University of Oxford

Publications: 27

Subbarao Kambhampati

Subbarao Kambhampati

Arizona State University

Publications: 20

Hector Geffner

Hector Geffner

Pompeu Fabra University

Publications: 19

Miroslaw Truszczynski

Miroslaw Truszczynski

University of Kentucky

Publications: 17

Eyke Hüllermeier

Eyke Hüllermeier

Ludwig-Maximilians-Universität München

Publications: 17

Toby Walsh

Toby Walsh

Commonwealth Scientific and Industrial Research Organisation

Publications: 17

Catholijn M. Jonker

Catholijn M. Jonker

Delft University of Technology

Publications: 16

Vincent Conitzer

Vincent Conitzer

Duke University

Publications: 16

Ulle Endriss

Ulle Endriss

University of Amsterdam

Publications: 14

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

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