Daniela Favaretto

25 papers receiving 342 citations

Peers

Daniela Favaretto
Comparison fields: 5 of 48
  • Industrial and Manufacturing Engineering 187
  • Management Science and Operations Research 77
  • Automotive Engineering 71
  • Management Information Systems 43
  • Building and Construction 43
Replace Joaquim Gromicho with:
Joaquim Gromicho Netherlands
E. Shlifer Israel
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Citations per field
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Citations per year

Countries citing papers authored by Daniela Favaretto

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Favaretto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Favaretto

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Favaretto. A scholar is included among the top collaborators of Daniela Favaretto 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 Daniela Favaretto. Daniela Favaretto 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 4
2 4
3 2
4 9
5 0
6 5
7 5
8
Exploration in stochastic algorithms: An application on MAX-MIN Ant System
4
9
On max-min ant system’s parameters
6
10 44
11 25
12
Ant colony system for variants of traveling salesman problem with time windows
4
13 4
14
Optimal communication mix to maximize brand image
5
15
Discrete frequency models for inventory management
0
16 3
17 6
18 10
19 4
20
Controllo ottimo di produzione e comunicazione per un prodotto stagionale
4

About Daniela Favaretto

Daniela Favaretto is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Marketing, having authored 27 papers that have together received 358 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (8 papers), Vehicle Routing Optimization Methods (6 papers) and Innovation Diffusion and Forecasting (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (187 citations), Management Science and Operations Research (77 citations) and Transportation (40 citations). Daniela Favaretto has collaborated with scholars based in Italy, Denmark and Brazil. Frequent co-authors include Paola Pellegrini, E. Moretti, Raffaele Pesenti, Walter Ukovich, Marco Corazza, Bruno Viscolani, L.H.A. Monteiro, José Roberto Castilho Piqueira, Giovanni Fasano and Trine Bille. Their work appears in journals such as European Journal of Operational Research, International Journal of Production Economics and Computers & Operations Research.

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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