Francesca Fallucchi
Impact in
- Health Informatics top 5%
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- AI and HR Technologies
Papers in
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- Topic Modeling 9
- Natural Language Processing Techniques 8
- Adversarial Robustness in Machine Learning 3
- Machine Learning in Healthcare 3
- Explainable Artificial Intelligence (XAI) 3
- Hate Speech and Cyberbullying Detection 2
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- Blockchain Technology Applications and Security 3
- Co-authors
- Ernesto William De Luca (10 shared papers)Romeo Giuliano (6 shared papers)Luca Di Nunzio (3 shared papers)Fabio Massimo Zanzotto (14 shared papers)Noemi Scarpato (5 shared papers)Alessandra Pieroni (4 shared papers)Suresh Manandhar (1 shared paper)Ioannis Korkontzelos (1 shared paper)
In The Last Decade
Francesca Fallucchi
37 papers receiving 704 citations
Peers
Comparison fields: 5 of 107
- Health Informatics 23
- Organizational Behavior and Human Resource Management 159
- Artificial Intelligence 277
- Information Systems 163
- Management Information Systems 49
Countries citing papers authored by Francesca Fallucchi
This map shows the geographic impact of Francesca Fallucchi'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 Fallucchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Fallucchi more than expected).
Fields of papers citing papers by Francesca Fallucchi
This network shows the impact of papers produced by Francesca Fallucchi. 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 Fallucchi. The network helps show where Francesca Fallucchi may publish in the future.
Co-authors
The 25 scholars most cited alongside Francesca Fallucchi, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 142 | |
| 2 | 2018 | 136 | |
| 3 | Estimating Linear Models for Compositional Distributional Semantics | 2010 | 87 |
| 4 | 2017 | 57 | |
| 5 | 2020 | 54 | |
| 6 | 2021 | 43 | |
| 7 | 2022 | 33 | |
| 8 | 2021 | 24 | |
| 9 | 2020 | 24 | |
| 10 | 2022 | 15 | |
| 11 | 2021 | 15 | |
| 12 | 2019 | 12 | |
| 13 | 2021 | 10 | |
| 14 | The use of Lean Six Sigma methodology in digital curation. | 2016 | 10 |
| 15 | 2024 | 9 | |
| 16 | 2022 | 8 | |
| 17 | 2011 | 8 | |
| 18 | 2023 | 7 | |
| 19 | Service Level Agreement Constraints into Processes for Document Classification. | 2014 | 6 |
| 20 | 2022 | 6 |
About Francesca Fallucchi
Francesca Fallucchi is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and Management Science and Operations Research, having authored 38 papers that have together received 751 indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Natural Language Processing Techniques (8 papers), Blockchain Technology Applications and Security (3 papers), Adversarial Robustness in Machine Learning (3 papers), Machine Learning in Healthcare (3 papers), Explainable Artificial Intelligence (XAI) (3 papers), Hate Speech and Cyberbullying Detection (2 papers) and Data Quality and Management (2 papers). The work is most often cited by research in Health Informatics (23 citations), Organizational Behavior and Human Resource Management (159 citations), Artificial Intelligence (277 citations), Information Systems (163 citations) and Management Information Systems (49 citations). Francesca Fallucchi has collaborated with scholars based in Italy, Germany and Iraq. Frequent co-authors include Ernesto William De Luca, Romeo Giuliano, Luca Di Nunzio, Fabio Massimo Zanzotto, Noemi Scarpato, Alessandra Pieroni, Suresh Manandhar, Ioannis Korkontzelos, Salah Saleh and Franco Mazzenga. Their work appears in journals such as Future Internet, Electronics, IEEE Access, Scientific Reports and PeerJ Computer Science.
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.