Roberto Sala
Impact in
- Marketing top 5%
- Service and Product Innovation
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- Product Development and Customization
- Quality Function Deployment in Product Design
Papers in
- Marketing 18
- Service and Product Innovation 18
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- Digital Transformation in Industry 9
- Co-authors
- Giuditta Pezzotta (25 shared papers)Fabiana Pirola (25 shared papers)Sergio Terzi (7 shared papers)Claudio Sassanelli (6 shared papers)Mónica Rossi (4 shared papers)Sophia Fotia (2 shared papers)Dimitris Mourtzis (2 shared papers)Sergio Cavalieri (7 shared papers)
In The Last Decade
Roberto Sala
29 papers receiving 206 citations
Peers
Comparison fields: 5 of 54
- Marketing 110
- Management of Technology and Innovation 62
- Industrial and Manufacturing Engineering 76
- Business and International Management 9
- Medical Laboratory Technology 6
Countries citing papers authored by Roberto Sala
This map shows the geographic impact of Roberto Sala'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 Roberto Sala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Sala more than expected).
Fields of papers citing papers by Roberto Sala
This network shows the impact of papers produced by Roberto Sala. 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 Roberto Sala. The network helps show where Roberto Sala may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberto Sala, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 61 | |
| 2 | 2018 | 25 | |
| 3 | 2021 | 13 | |
| 4 | 2018 | 10 | |
| 5 | 2022 | 10 | |
| 6 | 2019 | 9 | |
| 7 | 2022 | 9 | |
| 8 | 2022 | 8 | |
| 9 | 2017 | 8 | |
| 10 | 2017 | 7 | |
| 11 | 2016 | 7 | |
| 12 | 2019 | 6 | |
| 13 | How to select a suitable machine learning algorithm: A feature-based, scope-oriented selection framework | 2018 | 5 |
| 14 | A patent review on machine learning techniques and applications: Depicting main players, relations and technology landscapes | 2018 | 5 |
| 15 | 2024 | 4 | |
| 16 | 2016 | 4 | |
| 17 | 2019 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2018 | 2 | |
| 20 | 2025 | 2 |
About Roberto Sala
Roberto Sala is a scholar working on Marketing, Industrial and Manufacturing Engineering, Management of Technology and Innovation, Management Information Systems and Safety, Risk, Reliability and Quality, having authored 31 papers that have together received 211 indexed citations. Recurring topics across this work include Service and Product Innovation (18 papers), Digital Transformation in Industry (9 papers), Quality and Supply Management (4 papers), Reliability and Maintenance Optimization (3 papers), Big Data and Business Intelligence (3 papers), Quality Function Deployment in Product Design (3 papers), Innovative Approaches in Technology and Social Development (3 papers) and Management and Optimization Techniques (2 papers). The work is most often cited by research in Marketing (110 citations), Management of Technology and Innovation (62 citations), Industrial and Manufacturing Engineering (76 citations), Business and International Management (9 citations) and Medical Laboratory Technology (6 citations). Roberto Sala has collaborated with scholars based in Italy, Germany and Portugal. Frequent co-authors include Giuditta Pezzotta, Fabiana Pirola, Sergio Terzi, Claudio Sassanelli, Mónica Rossi, Sophia Fotia, Dimitris Mourtzis, Sergio Cavalieri, Angelo Corallo and Roberto Pinto. Their work appears in journals such as Journal of Manufacturing Technology Management, Production & Manufacturing Research, Service Business, Computers & Industrial Engineering and Applied Sciences.
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.