Laerte Sorini

480 citations
24 papers · 275 indexed · h-index 7
Topics
Fuzzy Systems and Optimization (19 papers)Multi-Criteria Decision Making (15 papers)Fuzzy Logic and Control Systems (10 papers)
Partner nations
ItalyUnited StatesSweden

In The Last Decade

Laerte Sorini

20 papers receiving 252 citations

Peers

Laerte Sorini
Comparison fields: 5 of 54
  • Statistics and Probability 191
  • Management Science and Operations Research 138
  • Artificial Intelligence 88
  • Control and Systems Engineering 61
  • Finance 40
Replace Maria Letizia Guerra with:
Maria Letizia Guerra Italy
Zan-Kan Nie China
Tingqing Ye China
Ken-ichi Yoshihara Japan
Yu Miao China
Slávka Bodjanová United States
Łukasz Stettner Poland
A. A. Yushkevich United States
Volker Krätschmer Germany
Laerte Sorini relative to Maria Letizia Guerra Italy Maria Letizia Guerra's profile →
Citations per field
00.5×1.5×
Maria Letizia Guerra · 1×
Citations per year

Countries citing papers authored by Laerte Sorini

Since Specialization
Citations

This map shows the geographic impact of Laerte Sorini'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 Laerte Sorini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laerte Sorini more than expected).

Fields of papers citing papers by Laerte Sorini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laerte Sorini. 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 Laerte Sorini. The network helps show where Laerte Sorini may publish in the future.

Co-authorship network of co-authors of Laerte Sorini

This figure shows the co-authorship network connecting the top 25 collaborators of Laerte Sorini. A scholar is included among the top collaborators of Laerte Sorini 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 Laerte Sorini. Laerte Sorini 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
1 0
2 5
3 6
4 3
5 2
6 5
7 6
8 1
9 2
10 5
11 3
12
Incorporating uncertainty in financial models
5
13 29
14
Uncertain parameters as fuzzy numbers in option pricing models
2
15
Fuzzy Arithmetic with Parametric LR Fuzzy Numbers.
9
16 5
17 1
18 13
19 138
20 22

About Laerte Sorini

Laerte Sorini is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence, having authored 24 papers that have together received 275 indexed citations. Recurring topics across this work include Fuzzy Systems and Optimization (19 papers), Multi-Criteria Decision Making (15 papers) and Fuzzy Logic and Control Systems (10 papers). The work is most often cited by research in Statistics and Probability (191 citations), Management Science and Operations Research (138 citations) and Finance (40 citations). Laerte Sorini has collaborated with scholars based in Italy, United States and Sweden. Frequent co-authors include Luciano Stefanini, Maria Letizia Guerra, Davide Radi, Ottaviano Allegretti, Nasko Terzıev and Manuel Arana‐Jiménez. Their work appears in journals such as European Journal of Operational Research, Information Sciences and Fuzzy Sets and Systems.

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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