Livia D’Apuzzo

617 total citations
25 papers, 394 citations indexed

About

Livia D’Apuzzo is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Livia D’Apuzzo has authored 25 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Management Science and Operations Research, 17 papers in Computational Theory and Mathematics and 4 papers in Artificial Intelligence. Recurrent topics in Livia D’Apuzzo's work include Multi-Criteria Decision Making (21 papers), Rough Sets and Fuzzy Logic (14 papers) and Advanced Algebra and Logic (13 papers). Livia D’Apuzzo is often cited by papers focused on Multi-Criteria Decision Making (21 papers), Rough Sets and Fuzzy Logic (14 papers) and Advanced Algebra and Logic (13 papers). Livia D’Apuzzo collaborates with scholars based in Italy. Livia D’Apuzzo's co-authors include Bice Cavallo, Massimo Squillante, L. J. Basile and Gerardo Canfora and has published in prestigious journals such as SHILAP Revista de lepidopterología, Fuzzy Sets and Systems and Soft Computing.

In The Last Decade

Livia D’Apuzzo

25 papers receiving 380 citations

Peers

Livia D’Apuzzo
Comparison fields: 5 of 51
  • Management Science and Operations Research 356
  • Computational Theory and Mathematics 184
  • Artificial Intelligence 104
  • Statistics and Probability 76
  • Control and Systems Engineering 54
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Citations per field, relative to Livia D’Apuzzo
Livia D’Apuzzo · 1×
Citations per year, relative to Livia D’Apuzzo
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Countries citing papers authored by Livia D’Apuzzo

Since Specialization
Citations

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

Fields of papers citing papers by Livia D’Apuzzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Livia D’Apuzzo. 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 Livia D’Apuzzo. The network helps show where Livia D’Apuzzo may publish in the future.

Co-authorship network of co-authors of Livia D’Apuzzo

This figure shows the co-authorship network connecting the top 25 collaborators of Livia D’Apuzzo. A scholar is included among the top collaborators of Livia D’Apuzzo 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 Livia D’Apuzzo. Livia D’Apuzzo 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
# Work Indexed citations
1 1
2 11
3 5
4 16
5 1
6 28
7 4
8
About a definition of metric over an abelian linearly ordered group
3
9 32
10 30
11 6
12
Transitive pairwise comparison matrices over abelian linearly ordered groups
1
13
An unified approach to the pairwise comparison matrices
1
14 14
15
Transitive matrices, strict preference and intensity operators
8
16 18
17 25
18
The limit class of Gehring type G∞ in the n-dimensional case
1
19 15
20 4

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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