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 59 Citations 24,824 197 World Ranking 1598 National Ranking 89

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Machine learning

Salvatore Greco mostly deals with Rough set, Dominance-based rough set approach, Decision rule, Data mining and Multiple-criteria decision analysis. His work deals with themes such as Fuzzy set, Preference, Monotonic function and Binary relation, which intersect with Rough set. The study incorporates disciplines such as Algorithm, Mathematical economics, Theoretical computer science and Stochastic dominance in addition to Dominance-based rough set approach.

His study with Decision rule involves better knowledge in Artificial intelligence. His Data mining research is multidisciplinary, incorporating perspectives in Sorting, Bayesian probability, Management information systems and Extension. His Multiple-criteria decision analysis research is multidisciplinary, relying on both Ranking, Preference, Management science and Pairwise comparison.

His most cited work include:

  • Multiple criteria decision analysis: state of the art surveys (2881 citations)
  • Rough sets theory for multicriteria decision analysis (1265 citations)
  • Rough Sets and Current Trends in Computing (1081 citations)

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

His primary scientific interests are in Rough set, Dominance-based rough set approach, Decision rule, Artificial intelligence and Data mining. His Rough set study also includes

  • Mathematical optimization together with Preference, Preference and Sorting,
  • Multiple-criteria decision analysis that connect with fields like Management science. His work in the fields of Dominance-based rough set approach, such as Multicriteria classification, overlaps with other areas such as Context.

His research in Decision rule focuses on subjects like Operations research, which are connected to Process. His Artificial intelligence research is multidisciplinary, incorporating elements of Ranking and Machine learning. His Data mining study integrates concerns from other disciplines, such as Ordinal regression and Bayesian probability.

He most often published in these fields:

  • Rough set (39.82%)
  • Dominance-based rough set approach (32.27%)
  • Decision rule (27.23%)

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

  • Mathematical optimization (29.29%)
  • Operations research (17.85%)
  • Ranking (15.10%)

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

Salvatore Greco mainly focuses on Mathematical optimization, Operations research, Ranking, Decision problem and Rough set. The concepts of his Mathematical optimization study are interwoven with issues in Sorting, Choquet integral, Robustness and Ordinal regression. Within one scientific family, Salvatore Greco focuses on topics pertaining to Preference under Ordinal regression, and may sometimes address concerns connected to Axiom and Decision analysis.

He interconnects Probabilistic logic, Relation, Interval and Pairwise comparison in the investigation of issues within Ranking. His biological study deals with issues like ELECTRE, which deal with fields such as Structuring and Sustainable city. Salvatore Greco works in the field of Rough set, focusing on Dominance-based rough set approach in particular.

Between 2018 and 2021, his most popular works were:

  • On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness (164 citations)
  • On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness (164 citations)
  • Evaluating and comparing entrepreneurial ecosystems using SMAA and SMAA-S (28 citations)

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

  • Artificial intelligence
  • Statistics
  • Machine learning

The scientist’s investigation covers issues in Mathematical optimization, Preference, Ranking, Ordinal regression and Decision problem. His Data envelopment analysis study, which is part of a larger body of work in Mathematical optimization, is frequently linked to Sigma, bridging the gap between disciplines. The Preference study combines topics in areas such as Linear programming, Function, Monotonic function and Robustness.

His work focuses on many connections between Ranking and other disciplines, such as Choquet integral, that overlap with his field of interest in Interval, Preference relation, Decision support system, Stochastic multicriteria acceptability analysis and Hierarchy. His studies deal with areas such as Cognitive psychology, Social psychology and Binary relation as well as Ordinal regression. Salvatore Greco combines subjects such as Theoretical computer science, Rough set, Fuzzy set and Weighted sum model, Optimal decision with his study of Decision problem.

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

Multiple criteria decision analysis: state of the art surveys

Salvatore Greco;Matthias Ehrgott;José Rui Figueira.
Operations Research and Management Science (2005)

5028 Citations

Multiple Criteria Decision Analysis

Salvatore Greco;Matthias Ehrgott;José Rui Figueira.
(2016)

4723 Citations

Rough sets theory for multicriteria decision analysis

Salvatore Greco;Benedetto Matarazzo;Roman Slowinski.
European Journal of Operational Research (2001)

1929 Citations

Rough Sets and Current Trends in Computing

Salvatore Greco;Yutaka Hata;Shoji Hirano;Masahiro Inuiguchi.
Systems, control and information (1998)

1742 Citations

Rough approximation of a preference relation by dominance relations

Salvatore Greco;Benedetto Matarazzo;Roman Slowinski.
European Journal of Operational Research (1999)

631 Citations

Rough approximation by dominance relations

Salvatore Greco;Benedetto Matarazzo;Roman Slowinski.
International Journal of Intelligent Systems (2002)

546 Citations

Rough sets methodology for sorting problems in presence of multiple attributes and criteria

Salvatore Greco;Benedetto Matarazzo;Roman Slowinski.
European Journal of Operational Research (2002)

513 Citations

Ordinal regression revisited: Multiple criteria ranking using a set of additive value functions

Salvatore Greco;Vincent Mousseau;Roman Słowiński;Roman Słowiński.
European Journal of Operational Research (2008)

508 Citations

Fuzzy Similarity Relation as a Basis for Rough Approximations

Salvatore Greco;Benedetto Matarazzo;Roman Slowinski.
Lecture Notes in Computer Science (1998)

366 Citations

The Use of Rough Sets and Fuzzy Sets in MCDM

Salvatore Greco;Benedetto Matarazzo;Roman Slowinski.
Multicriteria Decision Making : Advances in MCDM Models, Algorithms, Theory, and Applications (1999)

305 Citations

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