Luciano Stefanini

59 papers receiving 2.0k citations

Hit Papers

Generalized Hukuhara differentiability of interval-valued...200820262014202020082012100200300400500

Peers

Luciano Stefanini
Comparison fields: 5 of 77
  • Statistics and Probability 1.7k
  • Management Science and Operations Research 781
  • Applied Mathematics 749
  • Control and Systems Engineering 571
  • Modeling and Simulation 464
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Ming Ma China
Y. Chalco-Cano Chile
William Voxman United States
Roy H. Goetschel United States
Congxin Wu China
Kai Yao China
Barnabás Bede Romania
R. Ezzati Iran
Hsien-Chung Wu Taiwan
Young Chel Kwun South Korea
Luciano Stefanini relative to Ming Ma China Ming Ma's profile →
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Citations per year

Countries citing papers authored by Luciano Stefanini

Since Specialization
Citations

This map shows the geographic impact of Luciano Stefanini's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Luciano Stefanini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luciano Stefanini more than expected).

Fields of papers citing papers by Luciano Stefanini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luciano Stefanini. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Luciano Stefanini. The network helps show where Luciano Stefanini may publish in the future.

Co-authorship network of co-authors of Luciano Stefanini

This figure shows the co-authorship network connecting the top 25 collaborators of Luciano Stefanini. A scholar is included among the top collaborators of Luciano Stefanini based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Luciano Stefanini. Luciano Stefanini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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Expectile smoothing of time series using F-transform
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8 3
9 29
10 4
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Fuzzy Transform and Smooth Functions.
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Fuzzy Arithmetic with Parametric LR Fuzzy Numbers.
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Numerical Solution of Interval Differential Equations with Generalized Hukuhara Differentiability.
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Nonlinear-shaped Approximation of Fuzzy Numbers.
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Generalized Hukuhara differentiability of interval-valued functions and interval differential equationsbreakdown →
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Differential Evolution Methods for LU-fuzzy Arithmetic.
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20 94

About Luciano Stefanini

Luciano Stefanini is a scholar working on Statistics and Probability, Management Science and Operations Research and Computational Theory and Mathematics, having authored 65 papers that have together received 2.1k indexed citations. Recurring topics across this work include Fuzzy Systems and Optimization (46 papers), Multi-Criteria Decision Making (35 papers) and Fuzzy Logic and Control Systems (21 papers). The work is most often cited by research in Statistics and Probability (1.7k citations), Modeling and Simulation (464 citations) and Applied Mathematics (749 citations). Luciano Stefanini has collaborated with scholars based in Italy, Romania and United Kingdom. Frequent co-authors include Barnabás Bede, Maria Letizia Guerra, Laerte Sorini, Manuel Arana‐Jiménez, Gian-Italo Bischi, Laura Gardini, Lucian Coroianu, Przemysław Grzegorzewski, Davide Radi and Massimo Menenti. Their work appears in journals such as Information Sciences, Fuzzy Sets and Systems and Mechanical Systems and Signal Processing.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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