H-Index & Metrics Best Publications
Enrique Herrera-Viedma

Enrique Herrera-Viedma

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 97 Citations 35,422 462 World Ranking 165 National Ranking 2

Research.com Recognitions

Awards & Achievements

2021 - IEEE Fellow For contributions to fuzzy decision systems and linguistic modeling

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • The Internet

Enrique Herrera-Viedma mainly focuses on Group decision-making, Artificial intelligence, Fuzzy logic, Preference and Linguistics. His biological study spans a wide range of topics, including Context, Management science, Knowledge management and Social network. Enrique Herrera-Viedma interconnects Consistency, Machine learning and Natural language processing in the investigation of issues within Artificial intelligence.

His research in Fuzzy logic intersects with topics in Multiplicative function, Preference, Data mining and Operations research. His Preference research is multidisciplinary, incorporating elements of Decision theory and Representation. His work on Linguistic preference relation and Operator as part of general Linguistics study is frequently linked to Consensus model, therefore connecting diverse disciplines of science.

His most cited work include:

  • Linguistic decision analysis: steps for solving decision problems under linguistic information (1307 citations)
  • A model of consensus in group decision making under linguistic assessments (913 citations)
  • Some issues on consistency of fuzzy preference relations (735 citations)

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

His primary scientific interests are in Group decision-making, Artificial intelligence, Fuzzy logic, Preference and Information retrieval. His research in Group decision-making tackles topics such as Linguistics which are related to areas like Ranking. Enrique Herrera-Viedma combines subjects such as Machine learning and Natural language processing with his study of Artificial intelligence.

His Fuzzy logic research integrates issues from Preference, Computational intelligence and Mathematical optimization. His Preference research is multidisciplinary, relying on both Reciprocal, Set, Consistency and Complete information. The various areas that Enrique Herrera-Viedma examines in his Recommender system study include Quality and Order.

He most often published in these fields:

  • Group decision-making (33.74%)
  • Artificial intelligence (30.51%)
  • Fuzzy logic (24.33%)

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

  • Group decision-making (33.74%)
  • Artificial intelligence (30.51%)
  • Fuzzy logic (24.33%)

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

Enrique Herrera-Viedma spends much of his time researching Group decision-making, Artificial intelligence, Fuzzy logic, Data science and Social network. His Group decision-making research also works with subjects such as

  • Consistency which is related to area like Linguistics,
  • Mathematical optimization, Multiplicative function and Degree most often made with reference to Preference. His research integrates issues of Machine learning, Consistency and Natural language processing in his study of Artificial intelligence.

He studies Fuzzy set, a branch of Fuzzy logic. His Data science research focuses on subjects like Recommender system, which are linked to Reciprocal. His studies deal with areas such as Knowledge management, Scale and Reputation as well as Social network.

Between 2018 and 2021, his most popular works were:

  • A review on trust propagation and opinion dynamics in social networks and group decision making frameworks (122 citations)
  • A review on trust propagation and opinion dynamics in social networks and group decision making frameworks (122 citations)
  • Machine learning methods for systemic risk analysis in financial sectors (92 citations)

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

  • Artificial intelligence
  • Statistics
  • The Internet

His main research concerns Group decision-making, Artificial intelligence, Fuzzy logic, Data science and Mathematical optimization. His Group decision-making study combines topics from a wide range of disciplines, such as Context, Group, Knowledge management, Social network and Preference. His Artificial intelligence study combines topics in areas such as Machine learning, Infrared and Complete information.

His Fuzzy logic study integrates concerns from other disciplines, such as Consistency and Operations research. His research investigates the connection with Consistency and areas like Order which intersect with concerns in Linguistics. His biological study spans a wide range of topics, including Field, Ingroups and outgroups, Bibliometrics and Visualization.

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

Linguistic decision analysis: steps for solving decision problems under linguistic information

F. Herrera;E. Herrera-Viedma.
Fuzzy Sets and Systems (2000)

1820 Citations

A model of consensus in group decision making under linguistic assessments

F. Herrera;E. Herrera-Viedma;J. L. Verdegay.
Fuzzy Sets and Systems (1996)

1162 Citations

Integrating three representation models in fuzzy multipurpose decision making based on fuzzy preference relations

F. Chiclana;F. Herrera;E. Herrera-Viedma.
Fuzzy Sets and Systems (1998)

976 Citations

Some issues on consistency of fuzzy preference relations

Enrique Herrera-Viedma;Francisco Herrera;Francisco Chiclana;María Luque.
European Journal of Operational Research (2004)

929 Citations

A fusion approach for managing multi-granularity linguistic term sets in decision making

F. Herrera;E. Herrera-Viedma;Luis Martínez.
Fuzzy Sets and Systems (2000)

922 Citations

Direct approach processes in group decision making using linguistic OWA operators

F. Herrera;E. Herrera-Viedma;J. L. Verdegay.
Fuzzy Sets and Systems (1996)

861 Citations

Science mapping software tools: Review, analysis, and cooperative study among tools

M. J. Cobo;A. G. López-Herrera;E. Herrera-Viedma;F. Herrera.
Journal of the Association for Information Science and Technology (2011)

813 Citations

A consensus model for multiperson decision making with different preference structures

E. Herrera-Viedma;F. Herrera;F. Chiclana.
systems man and cybernetics (2002)

714 Citations

A sequential selection process in group decision making with a linguistic assessment approach

F. Herrera;E. Herrera-Viedma;J. L. Verdegay.
Information Sciences (1995)

678 Citations

h-Index: A review focused in its variants, computation and standardization for different scientific fields

Sergio Alonso;Francisco Javier Cabrerizo;Enrique Herrera-Viedma;Francisco Herrera.
Journal of Informetrics (2009)

653 Citations

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