Francesca Bertacchini
Impact in
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- Teaching and Learning Programming
- Marketing top 5%
- Consumer Retail Behavior Studies
Papers in
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- Aesthetic Perception and Analysis 4
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- Neural Networks and Applications 4
- Co-authors
- Eleonora Bilotta (49 shared papers)Pietro Pantano (47 shared papers)Simona Giglio (6 shared papers)Lorella Gabriele (20 shared papers)Assunta Tavernise (16 shared papers)Carmelo Scuro (11 shared papers)Fabio Caldarola (3 shared papers)Antonella Valenti (3 shared papers)
- Journals
- Chaos An Interdisciplinary Journal of Nonlinear Science (2 papers)International Journal on Interactive Design and Manufacturing (IJIDeM) (2 papers)Computers & Education (1 paper)Scientific Reports (1 paper)Informatics in Education (1 paper)
- Partner nations
- Italy
In The Last Decade
Francesca Bertacchini
52 papers receiving 929 citations
Peers
Comparison fields: 5 of 113
- Computer Science Applications 124
- Marketing 159
- Architecture 20
- Transportation 62
- Health Informatics 12
Countries citing papers authored by Francesca Bertacchini
This map shows the geographic impact of Francesca Bertacchini'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 Francesca Bertacchini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Bertacchini more than expected).
Fields of papers citing papers by Francesca Bertacchini
This network shows the impact of papers produced by Francesca Bertacchini. 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 Francesca Bertacchini. The network helps show where Francesca Bertacchini may publish in the future.
Co-authors
The 25 scholars most cited alongside Francesca Bertacchini, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 154 | |
| 2 | 2017 | 141 | |
| 3 | 2020 | 75 | |
| 4 | 2019 | 53 | |
| 5 | 2019 | 47 | |
| 6 | 2015 | 46 | |
| 7 | 2023 | 45 | |
| 8 | 2012 | 43 | |
| 9 | 2021 | 34 | |
| 10 | 2013 | 27 | |
| 11 | 2017 | 26 | |
| 12 | 2018 | 24 | |
| 13 | 2022 | 23 | |
| 14 | 2012 | 22 | |
| 15 | 2014 | 20 | |
| 16 | 2020 | 20 | |
| 17 | 2013 | 19 | |
| 18 | 2016 | 17 | |
| 19 | 2022 | 13 | |
| 20 | 2020 | 12 |
About Francesca Bertacchini
Francesca Bertacchini is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Sociology and Political Science, Education and Industrial and Manufacturing Engineering, having authored 56 papers that have together received 975 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (6 papers), Teaching and Learning Programming (6 papers), Additive Manufacturing and 3D Printing Technologies (5 papers), Experimental Learning in Engineering (4 papers), Neural Networks and Applications (4 papers), Aesthetic Perception and Analysis (4 papers), Cellular Automata and Applications (4 papers) and Digital Transformation in Industry (4 papers). The work is most often cited by research in Computer Science Applications (124 citations), Marketing (159 citations), Architecture (20 citations), Transportation (62 citations) and Health Informatics (12 citations). Francesca Bertacchini has collaborated with scholars based in Italy. Frequent co-authors include Eleonora Bilotta, Pietro Pantano, Simona Giglio, Lorella Gabriele, Assunta Tavernise, Carmelo Scuro, Fabio Caldarola, Antonella Valenti, Davide Marocco and Francesco Rosa. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, International Journal on Interactive Design and Manufacturing (IJIDeM), Computers & Education, Scientific Reports and Informatics in Education.
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.