Laura Anderlucci
Impact in
- Speech and Hearing top 10%
- Noise Effects and Management
Papers in
-
- Bayesian Methods and Mixture Models 5
- Advanced Clustering Algorithms Research 3
- Anomaly Detection Techniques and Applications 2
- Imbalanced Data Classification Techniques 2
- Text and Document Classification Technologies 2
- Co-authors
- Cinzia Viroli (3 shared papers)Cristian Taccioli (3 shared papers)Christian Hennig (1 shared paper)Silvio Bicciato (2 shared papers)Alessandro Zannini (1 shared paper)Domenico Beneventano (1 shared paper)Marco L. Lolli (1 shared paper)Jimmy Caroli (1 shared paper)
- Journals
- The Journal of Advanced Prosthodontics (2 papers)Journal of Classification (1 paper)The Annals of Thoracic Surgery (1 paper)Applied Acoustics (1 paper)Database (1 paper)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Laura Anderlucci
19 papers receiving 271 citations
Peers
Comparison fields: 5 of 88
- Computational Mathematics 4
- Speech and Hearing 20
- Cell Biology 42
- Statistics and Probability 21
- Orthodontics 8
Countries citing papers authored by Laura Anderlucci
This map shows the geographic impact of Laura Anderlucci'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 Laura Anderlucci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Anderlucci more than expected).
Fields of papers citing papers by Laura Anderlucci
This network shows the impact of papers produced by Laura Anderlucci. 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 Laura Anderlucci. The network helps show where Laura Anderlucci may publish in the future.
Co-authors
The 25 scholars most cited alongside Laura Anderlucci, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 54 | |
| 2 | 2015 | 36 | |
| 3 | 2014 | 30 | |
| 4 | 2022 | 27 | |
| 5 | 2020 | 25 | |
| 6 | 2020 | 21 | |
| 7 | 2014 | 19 | |
| 8 | 2014 | 17 | |
| 9 | 2020 | 9 | |
| 10 | 2016 | 8 | |
| 11 | 2023 | 8 | |
| 12 | 2021 | 6 | |
| 13 | 2021 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2013 | 3 | |
| 16 | 2020 | 3 | |
| 17 | 2020 | 2 | |
| 18 | 2014 | 2 | |
| 19 | 2022 | 1 |
About Laura Anderlucci
Laura Anderlucci is a scholar working on Artificial Intelligence, Molecular Biology, Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition and Orthodontics, having authored 19 papers that have together received 278 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (5 papers), Advanced Clustering Algorithms Research (3 papers), Anomaly Detection Techniques and Applications (2 papers), Cardiac Valve Diseases and Treatments (2 papers), Imbalanced Data Classification Techniques (2 papers), Dental materials and restorations (2 papers), Text and Document Classification Technologies (2 papers) and Cerebrospinal fluid and hydrocephalus (1 paper). The work is most often cited by research in Computational Mathematics (4 citations), Speech and Hearing (20 citations), Cell Biology (42 citations), Statistics and Probability (21 citations) and Orthodontics (8 citations). Laura Anderlucci has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Cinzia Viroli, Cristian Taccioli, Christian Hennig, Silvio Bicciato, Alessandro Zannini, Domenico Beneventano, Marco L. Lolli, Jimmy Caroli, Giovanni Sorrentino and Giannino Del Sal. Their work appears in journals such as The Journal of Advanced Prosthodontics, Journal of Classification, The Annals of Thoracic Surgery, Applied Acoustics and Database.
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.