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 60 Citations 11,943 281 World Ranking 1527 National Ranking 41

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Artificial intelligence
  • Law

José M. Merigó mostly deals with Bibliometrics, Mathematical optimization, Web of science, Range and Ordered weighted averaging aggregation operator. His Bibliometrics research is multidisciplinary, incorporating perspectives in Publishing, Data science and Citation. His Mathematical optimization research is multidisciplinary, incorporating elements of Fuzzy number, Parametric family, Interval, Distance measures and Selection.

His studies deal with areas such as Robot, Probabilistic logic, Group decision-making and Degree as well as Selection. José M. Merigó combines subjects such as Discrete mathematics, State, Weighted product model, Generalized mean and Rule-based machine translation with his study of Range. His studies deal with areas such as Decision theory and Weighted arithmetic mean as well as Ordered weighted averaging aggregation operator.

His most cited work include:

  • The induced generalized OWA operator (359 citations)
  • Qualitative decision making with correlation coefficients of hesitant fuzzy linguistic term sets (279 citations)
  • An overview of fuzzy research with bibliometric indicators (267 citations)

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

José M. Merigó mainly focuses on Mathematical optimization, Bibliometrics, Weighted arithmetic mean, Probabilistic logic and Fuzzy logic. His Mathematical optimization research also works with subjects such as

  • Ordered weighted averaging aggregation operator, which have a strong connection to Discrete mathematics,
  • Range that connect with fields like Generalized mean. His research integrates issues of Data science and Citation in his study of Bibliometrics.

José M. Merigó interconnects Weighted product model, Moving average, Econometrics and Interval in the investigation of issues within Weighted arithmetic mean. His Probabilistic logic research incorporates themes from Machine learning, Group decision-making and Distance measures. His Fuzzy number research is multidisciplinary, incorporating elements of Fuzzy set operations and Fuzzy classification.

He most often published in these fields:

  • Mathematical optimization (23.02%)
  • Bibliometrics (24.88%)
  • Weighted arithmetic mean (22.79%)

What were the highlights of his more recent work (between 2019-2021)?

  • Bibliometrics (24.88%)
  • Citation (12.79%)
  • Bibliographic coupling (12.56%)

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

José M. Merigó focuses on Bibliometrics, Citation, Bibliographic coupling, Library science and Bibliometric analysis. His study in Bibliometrics is interdisciplinary in nature, drawing from both Country of origin, Field and China. His work in Citation covers topics such as Visualization which are related to areas like Data science and Knowledge management.

His Library science research incorporates elements of Social change, Technology forecasting and Innovation management. His Operations research research integrates issues from Fuzzy logic, Probabilistic logic and Weighted arithmetic mean. His Computational intelligence research is multidisciplinary, relying on both Intuitionistic fuzzy, Group decision-making, Aggregate, Distance measures and Valuation.

Between 2019 and 2021, his most popular works were:

  • Industrial marketing management: Bibliometric overview since its foundation (20 citations)
  • Industrial marketing management: Bibliometric overview since its foundation (20 citations)
  • Twenty-five years of the Information Systems Journal: A bibliometric and ontological overview (12 citations)

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

  • Statistics
  • Artificial intelligence
  • Law

His primary scientific interests are in Bibliometrics, Citation, Visualization, Bibliographic coupling and Library science. José M. Merigó carries out multidisciplinary research, doing studies in Bibliometrics and Web of science. His Visualization study incorporates themes from Knowledge management, Structure and Data science.

His Data science research includes themes of Fuzzy set, East Asia and Computer Applications. His work carried out in the field of Bibliographic coupling brings together such families of science as Publishing, Variety and Health care. His work deals with themes such as Social change, Discipline, Futures studies and Innovation management, which intersect with Library science.

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

The induced generalized OWA operator

José M. Merigó;Anna M. Gil-Lafuente.
Information Sciences (2009)

469 Citations

An overview of fuzzy research with bibliometric indicators

José M. Merigó;Anna M. Gil-Lafuente;Ronald R. Yager.
soft computing (2015)

387 Citations

Qualitative decision making with correlation coefficients of hesitant fuzzy linguistic term sets

Huchang Liao;Zeshui Xu;Xiao-Jun Zeng;José M. Merigó.
Knowledge Based Systems (2015)

338 Citations

New decision-making techniques and their application in the selection of financial products

José M. Merigó;Anna M. Gil-Lafuente.
Information Sciences (2010)

325 Citations

Decision-making with distance measures and induced aggregation operators

José M. Merigó;Montserrat Casanovas.
Computers & Industrial Engineering (2011)

245 Citations

A bibliometric overview of the Journal of Business Research between 1973 and 2014

José M. Merigó;Alicia Mas-Tur;Norat Roig-Tierno;Domingo Ribeiro-Soriano.
Journal of Business Research (2015)

234 Citations

LINGUISTIC AGGREGATION OPERATORS FOR LINGUISTIC DECISION MAKING BASED ON THE DEMPSTER-SHAFER THEORY OF EVIDENCE

J. M. Merigó;M. Casanovas;L. Martínez.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (2010)

232 Citations

Induced aggregation operators in decision making with the Dempster-Shafer belief structure

J. M. Merigó;M. Casanovas.
Journal of intelligent systems (2009)

230 Citations

Fuzzy decision making: A bibliometric-based review

Fabio Blanco-Mesa;José M. Merigó;Anna M. Gil-Lafuente.
Journal of Intelligent and Fuzzy Systems (2017)

219 Citations

Induced 2-tuple linguistic generalized aggregation operators and their application in decision-making

José M. Merigó;Anna M. Gil-Lafuente.
Information Sciences (2013)

210 Citations

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