Massimo Squillante

27 papers receiving 217 citations

Peers

Massimo Squillante
Comparison fields: 5 of 80
  • Management Science and Operations Research 132
  • Statistics and Probability 32
  • Computational Theory and Mathematics 39
  • Management, Monitoring, Policy and Law 25
  • Management of Technology and Innovation 14
Replace Diogo Ferreira de Lima Silva with:
Diogo Ferreira de Lima Silva Brazil
Anna Tikhonenko Poland
Alfredo Altuzarra Casas Spain
Aleksandras Krylovas Lithuania
Yu-Han Huang China
Wang Xin-fan China
Ding-Hong Peng China
Shumaiza Pakistan
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Citations per field
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Citations per year

Countries citing papers authored by Massimo Squillante

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Squillante

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Massimo Squillante, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Massimo Squillante Line = papers co-authored together Massimo Squillante links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201836
2 201130
3 201726
4 202220
5 201416
6 200714
7 201912
8 201212
9 20109
10 20206
11 20106
12 20096
13 20144
14 19984
15 20134
16 19984
17 19884
18 19894
19 20203
20 20123

About Massimo Squillante

Massimo Squillante is a scholar working on Management Science and Operations Research, Artificial Intelligence, Computational Theory and Mathematics, Strategy and Management and Control and Systems Engineering, having authored 32 papers that have together received 235 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (13 papers), Optimization and Mathematical Programming (3 papers), Cognitive Science and Mapping (3 papers), Advanced Algebra and Logic (3 papers), Fuzzy Systems and Optimization (3 papers), Decision-Making and Behavioral Economics (2 papers), Economic theories and models (2 papers) and Game Theory and Applications (2 papers). The work is most often cited by research in Management Science and Operations Research (132 citations), Statistics and Probability (32 citations), Computational Theory and Mathematics (39 citations), Management, Monitoring, Policy and Law (25 citations) and Management of Technology and Innovation (14 citations). Massimo Squillante has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Bice Cavallo, Livia D’Apuzzo, Alessio Ishizaka, Aldo G. S. Ventre, Biagio Simonetti, Gabriele Saccone, Vincenzo Berghella, A. N. Proto, Maria Barbati and Elena Rita Magro‐Malosso. Their work appears in journals such as International Journal of Intelligent Systems, Quality & Quantity, Soft Computing, Fuzzy Sets and Systems and Journal of Mathematical Analysis and Applications.

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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