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 30 Citations 5,525 115 World Ranking 8293 National Ranking 118

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Database

Maria-Amparo Vila mostly deals with Fuzzy logic, Fuzzy number, Fuzzy set operations, Data mining and Fuzzy classification. His research on Fuzzy logic focuses in particular on Fuzzy set. The Type-2 fuzzy sets and systems research Maria-Amparo Vila does as part of his general Fuzzy number study is frequently linked to other disciplines of science, such as Measure, therefore creating a link between diverse domains of science.

The various areas that Maria-Amparo Vila examines in his Data mining study include Genetic algorithm and Data structure. His Fuzzy classification study incorporates themes from Defuzzification and Theoretical computer science. The Defuzzification study combines topics in areas such as Fuzzy mathematics and Fuzzy measure theory.

His most cited work include:

  • On aggregation operations of linguistic labels (427 citations)
  • Linguistic decision-making models (319 citations)
  • On a canonical representation of fuzzy numbers (280 citations)

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

His scientific interests lie mostly in Fuzzy logic, Data mining, Fuzzy classification, Artificial intelligence and Fuzzy set. Maria-Amparo Vila specializes in Fuzzy logic, namely Neuro-fuzzy. Maria-Amparo Vila has researched Data mining in several fields, including Cluster analysis and Fuzzy clustering.

His Fuzzy classification research incorporates elements of Text mining, Fuzzy set operations and Membership function. The study incorporates disciplines such as Fuzzy number and Defuzzification in addition to Fuzzy set operations. His Fuzzy set research focuses on Mathematical optimization and how it relates to Fuzzy transportation.

He most often published in these fields:

  • Fuzzy logic (52.35%)
  • Data mining (36.24%)
  • Fuzzy classification (29.53%)

What were the highlights of his more recent work (between 2009-2021)?

  • Fuzzy logic (52.35%)
  • Information retrieval (17.45%)
  • Data mining (36.24%)

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

Maria-Amparo Vila mainly focuses on Fuzzy logic, Information retrieval, Data mining, Artificial intelligence and Process. His study in Fuzzy set, Fuzzy number, Fuzzy set operations and Soft computing falls within the category of Fuzzy logic. He combines subjects such as Algorithm and Theoretical computer science with his study of Fuzzy number.

His work deals with themes such as Value and Computational intelligence, which intersect with Data mining. His Artificial intelligence study integrates concerns from other disciplines, such as Machine learning, SQL and Natural language processing. A large part of his Fuzzy classification studies is devoted to Type-2 fuzzy sets and systems.

Between 2009 and 2021, his most popular works were:

  • On a non-nested level-based representation of fuzziness (47 citations)
  • Context-Aware Fuzzy Databases (16 citations)
  • An automatic system for identifying authorities in digital libraries (14 citations)

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

  • Artificial intelligence
  • Machine learning
  • Database

Maria-Amparo Vila spends much of his time researching Fuzzy logic, Artificial intelligence, Digital library, Process and Hierarchical clustering. His Fuzzy logic study frequently involves adjacent topics like Data mining. His work carried out in the field of Data mining brings together such families of science as Fuzzy association rules and Fuzzy clustering.

Fuzzy classification and Fuzzy set are among the areas of Artificial intelligence where the researcher is concentrating his efforts. The various areas that Maria-Amparo Vila examines in his Fuzzy classification study include Fuzzy number, Defuzzification and Fuzzy set operations. His Fuzzy set research is multidisciplinary, relying on both Software, Theoretical computer science and SQL.

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

On aggregation operations of linguistic labels

M. Delgado;J. L. Verdegay;M. A. Vila.
International Journal of Intelligent Systems (1993)

644 Citations

Linguistic decision-making models

M. Delgado;J. L. Verdegay;M. A. Vila.
International Journal of Intelligent Systems (1992)

488 Citations

On a canonical representation of fuzzy numbers

M. Delgado;M. A. Vila;W. Voxman.
Fuzzy Sets and Systems (1998)

428 Citations

A general model for fuzzy linear programming

H. Rommelfanger;J. L. Verdegay;M. A. Vila.
Fuzzy Sets and Systems (1989)

412 Citations

Fuzzy association rules: general model and applications

M. Delgado;N. Marin;D. Sanchez;M.-A. Vila.
IEEE Transactions on Fuzzy Systems (2003)

390 Citations

About the use of fuzzy clustering techniques for fuzzy model identification

A. F. Gómez-Skarmeta;M. Delgado;M. A. Vila.
Fuzzy Sets and Systems (1999)

305 Citations

GEFRED: a generalized model of fuzzy relational databases

Juan Miguel Medina;Olga Pons;Maria Amparo Vila.
Information Sciences (1994)

301 Citations

Association rules applied to credit card fraud detection

D. Sánchez;M. A. Vila;L. Cerda;J. M. Serrano.
Expert Systems With Applications (2009)

266 Citations

Fuzzy cardinality based evaluation of quantified sentences

Miguel Delgado;Daniel Sánchez;Maria Amparo Vila.
International Journal of Approximate Reasoning (2000)

220 Citations

A procedure for ranking fuzzy numbers using fuzzy relations

M. Delgado;J. L. Verdegay;M. A. Vila.
Fuzzy Sets and Systems (1988)

205 Citations

Best Scientists Citing Maria-Amparo Vila

José L. Verdegay

José L. Verdegay

University of Granada

Publications: 69

Francisco Herrera

Francisco Herrera

University of Granada

Publications: 61

Witold Pedrycz

Witold Pedrycz

University of Alberta

Publications: 57

Enrique Herrera-Viedma

Enrique Herrera-Viedma

University of Granada

Publications: 51

Luis Martínez

Luis Martínez

University of Jaén

Publications: 49

Miguel Delgado

Miguel Delgado

University of Granada

Publications: 42

Zeshui Xu

Zeshui Xu

Sichuan University

Publications: 42

Janusz Kacprzyk

Janusz Kacprzyk

Polish Academy of Sciences

Publications: 30

Tzung-Pei Hong

Tzung-Pei Hong

National University of Kaohsiung

Publications: 27

Jianqiang Wang

Jianqiang Wang

Central South University

Publications: 26

Didier Dubois

Didier Dubois

Centre national de la recherche scientifique, CNRS

Publications: 25

Deng-Feng Li

Deng-Feng Li

Fuzhou University

Publications: 23

Gabriella Pasi

Gabriella Pasi

University of Milano-Bicocca

Publications: 22

Henri Prade

Henri Prade

Paul Sabatier University

Publications: 21

Frederick E. Petry

Frederick E. Petry

United States Naval Research Laboratory

Publications: 20

Sławomir Zadrożny

Sławomir Zadrożny

Polish Academy of Sciences

Publications: 20

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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