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
Computer Science D-index 34 Citations 6,990 255 World Ranking 6225 National Ranking 153

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Programming language
  • Machine learning

Salem Benferhat mostly deals with Artificial intelligence, Possibility theory, Theoretical computer science, Inference and Possibilistic logic. His Artificial intelligence study incorporates themes from Machine learning, Fusion and Lexicographical order. His Possibility theory research includes elements of Representation, Function, Knowledge representation and reasoning, Set and Transformation.

His Intermediate logic study in the realm of Theoretical computer science connects with subjects such as Syntactic methods. The study incorporates disciplines such as Bayes classifier, Naive Bayes classifier, Bayes' theorem and Paraconsistent logic in addition to Inference. His Possibilistic logic research incorporates themes from Semantics, Reliability and Extension.

His most cited work include:

  • Organization based access control (503 citations)
  • Inconsistency management and prioritized syntax-based entailment (346 citations)
  • Naive Bayes vs decision trees in intrusion detection systems (340 citations)

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

His scientific interests lie mostly in Artificial intelligence, Possibility theory, Theoretical computer science, Inference and Machine learning. As part of his studies on Artificial intelligence, Salem Benferhat frequently links adjacent subjects like Natural language processing. His study in Possibility theory is interdisciplinary in nature, drawing from both Of the form, Mathematical economics, Probabilistic logic, Bayesian network and Product.

His study looks at the intersection of Theoretical computer science and topics like Possibilistic logic with Certainty. The Inference study combines topics in areas such as Semantics and Relation. His Machine learning research focuses on Decision tree in particular.

He most often published in these fields:

  • Artificial intelligence (45.04%)
  • Possibility theory (31.10%)
  • Theoretical computer science (27.88%)

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

  • Theoretical computer science (27.88%)
  • Possibility theory (31.10%)
  • Artificial intelligence (45.04%)

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

Salem Benferhat spends much of his time researching Theoretical computer science, Possibility theory, Artificial intelligence, Set and Ontology. His Theoretical computer science study integrates concerns from other disciplines, such as Belief revision, Representation, Inference, Knowledge base and Semantics. Salem Benferhat has included themes like Graphical model, Set cover problem, Greedy algorithm and Degree in his Possibility theory study.

Salem Benferhat works mostly in the field of Artificial intelligence, limiting it down to concerns involving Natural language processing and, occasionally, Fusion. His work deals with themes such as Consistency, Action and Computer security, Security policy, which intersect with Set. His study on Ontology also encompasses disciplines like

  • Ontology which connect with Semantics,
  • Description logic which intersects with area such as Outcome, Minification and Order,
  • World Wide Web that connect with fields like Knowledge representation and reasoning.

Between 2015 and 2021, his most popular works were:

  • A general modifier-based framework for inconsistency-tolerant query answering (13 citations)
  • Non-objection inference for inconsistency-tolerant query answering (12 citations)
  • Min-based possibilistic DL-Lite (12 citations)

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

  • Artificial intelligence
  • Programming language
  • Algorithm

His primary scientific interests are in Inference, Theoretical computer science, Semantics, Ontology and Description logic. His research in Inference intersects with topics in Cardinality, Consistency and Key. His study in the fields of Abox under the domain of Theoretical computer science overlaps with other disciplines such as Point.

He has researched Semantics in several fields, including Computational complexity theory, Existentialism, Operator and Focus. His Scale-invariant feature transform study is associated with Artificial intelligence. His Artificial intelligence research is multidisciplinary, relying on both Computer vision and Pattern recognition.

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

Organization based access control

A.A.E. Kalam;R.E. Baida;P. Balbiani;S. Benferhat.
ieee international workshop on policies for distributed systems and networks (2003)

828 Citations

Naive Bayes vs decision trees in intrusion detection systems

Nahla Ben Amor;Salem Benferhat;Zied Elouedi.
acm symposium on applied computing (2004)

588 Citations

Inconsistency management and prioritized syntax-based entailment

Salem Benferhat;Claudette Cayrol;Didier Dubois;Jerome Lang.
international joint conference on artificial intelligence (1993)

477 Citations

Representing Default Rules in Possibilistic Logic.

Salem Benferhat;Didier Dubois;Henri Prade.
principles of knowledge representation and reasoning (1992)

324 Citations

Nonmonotonic reasoning, conditional objects and possibility theory

Salem Benferhat;Didier Dubois;Henri Prade.
Artificial Intelligence (1997)

276 Citations

Argumentative inference in uncertain and inconsistent knowledge bases

Salem Benferhat;Didier Dubois;Henri Prade.
uncertainty in artificial intelligence (1993)

223 Citations

Some Syntactic Approaches to the Handling of Inconsistent Knowledge Bases: A Comparative Study Part 1: The Flat Case

Salem Benferhat;Didier Dubois;Henri Prade.
Studia Logica (1997)

212 Citations

Fusion: General concepts and characteristics

Isabelle Bloch;Anthony A. Hunter;Alain A. Appriou;Andr A. Ayoun.
International Journal of Intelligent Systems (2001)

207 Citations

Possibilistic and standard probabilistic semantics of conditional knowledge bases

Salem Benferhat;Didier Dubois;Henri Prade.
Journal of Logic and Computation (1999)

159 Citations

Bipolar possibility theory in preference modeling: Representation, fusion and optimal solutions

Salem Benferhat;Didier Dubois;Souhila Kaci;Henri Prade.
Information Fusion (2006)

158 Citations

Best Scientists Citing Salem Benferhat

Henri Prade

Henri Prade

Paul Sabatier University

Publications: 200

Didier Dubois

Didier Dubois

Centre national de la recherche scientifique, CNRS

Publications: 172

Frédéric Cuppens

Frédéric Cuppens

Polytechnique Montréal

Publications: 85

Anthony Hunter

Anthony Hunter

University College London

Publications: 41

Leila Amgoud

Leila Amgoud

Centre national de la recherche scientifique, CNRS

Publications: 37

Jérôme Lang

Jérôme Lang

Paris Dauphine University

Publications: 36

Thomas Lukasiewicz

Thomas Lukasiewicz

University of Oxford

Publications: 28

Lluís Godo

Lluís Godo

Spanish National Research Council

Publications: 25

Stefan Woltran

Stefan Woltran

TU Wien

Publications: 22

Torsten Schaub

Torsten Schaub

University of Potsdam

Publications: 21

Simon Parsons

Simon Parsons

University of Lincoln

Publications: 18

Hervé Debar

Hervé Debar

Télécom SudParis

Publications: 16

Gerhard Brewka

Gerhard Brewka

Leipzig University

Publications: 15

Carles Sierra

Carles Sierra

Spanish National Research Council

Publications: 15

Hans Tompits

Hans Tompits

TU Wien

Publications: 14

Yves Le Traon

Yves Le Traon

University of Luxembourg

Publications: 12

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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