Matteo Boschini

589 citations
12 papers · 316 indexed · h-index 7

Impact in

Papers in

Matteo Boschini

10 papers receiving 308 citations

Peers

Matteo Boschini
Comparison fields: 5 of 57
  • Industrial and Manufacturing Engineering 119
  • Food Science 215
  • Business and International Management 8
  • Marketing 26
  • Public Health, Environmental and Occupational Health 60
Replace Margarida Liz Martins with:
Margarida Liz Martins Portugal
Arindam Samaddar India
Alessandro Politano Italy
Matthew Lange United States
Lisa K. Johnson United States
Franco Fassio Italy
Alana Kluczkovski United Kingdom
Nidhi Rajesh Mavani Malaysia
Jacqueline Tereza da Silva United Kingdom
Abigail L. Horn United States
Matteo Boschini relative to Margarida Liz Martins Portugal Margarida Liz Martins's profile →
Citations per field
00.5×1.6×
Margarida Liz Martins · 1×
Citations per year

Countries citing papers authored by Matteo Boschini

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Boschini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 24 scholars most cited alongside Matteo Boschini, 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 Matteo Boschini Line = papers co-authored together Matteo Boschini links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 20250
2 20244
3 20242
4 20241
5 20222
6 202119
7 202152
8 202113
9 201961
10 20199
11 201868
12 201885

About Matteo Boschini

Matteo Boschini is a scholar working on Industrial and Manufacturing Engineering, Food Science, Computer Vision and Pattern Recognition, Artificial Intelligence and Plant Science, having authored 12 papers that have together received 316 indexed citations. Recurring topics across this work include Food Waste Reduction and Sustainability (6 papers), Multimodal Machine Learning Applications (4 papers), Urban Agriculture and Sustainability (4 papers), Domain Adaptation and Few-Shot Learning (4 papers), Municipal Solid Waste Management (4 papers), Human Pose and Action Recognition (2 papers), Pulmonary Hypertension Research and Treatments (1 paper) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (119 citations), Food Science (215 citations), Business and International Management (8 citations), Marketing (26 citations) and Public Health, Environmental and Occupational Health (60 citations). Matteo Boschini has collaborated with scholars based in Italy and Finland. Frequent co-authors include Luca Falasconi, Claudia Giordano, Simone Piras, Clara Cicatiello, Simone Calderara, Pietro Buzzega, Fabrizio Alboni, Angelo Porrello, Silvio Franco and Barbara Pancino. Their work appears in journals such as Journal of Cleaner Production, Waste Management & Research The Journal for a Sustainable Circular Economy, Pattern Recognition Letters, Frontiers in Cardiovascular Medicine and Sustainability.

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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