Laura Cruciani
- Pediatrics, Perinatology and Child Health top 5%
- Obstetrics and Gynecology top 5%
- Public Health, Environmental and Occupational Health
- Immunology
- Epidemiology
- Co-authors
- Gian Carlo Di RenzoA. CutuliAlessia RosatiPooja MittalGiovanna OggèTinnakorn ChaiworapongsaZhong DongSun Kwon Kim
- Topics
- Augmented Reality Applications (3 papers)Surgical Simulation and Training (2 papers)Biomarkers in Disease Mechanisms (2 papers)
- Journals
- Neural NetworksComputer Methods and Programs in BiomedicineThe Journal of Maternal-Fetal & Neonatal Medicine
- Partner nations
- ItalyUnited StatesChina
In The Last Decade
Laura Cruciani
10 papers receiving 429 citations
Peers
Comparison fields: 5 of 71
- Pediatrics, Perinatology and Child Health 241
- Obstetrics and Gynecology 215
- Public Health, Environmental and Occupational Health 88
- Immunology 70
- Epidemiology 67
Countries citing papers authored by Laura Cruciani
This map shows the geographic impact of Laura Cruciani'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 Cruciani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Cruciani more than expected).
Fields of papers citing papers by Laura Cruciani
This network shows the impact of papers produced by Laura Cruciani. 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 Cruciani. The network helps show where Laura Cruciani may publish in the future.
Co-authorship network of co-authors of Laura Cruciani
This figure shows the co-authorship network connecting the top 25 collaborators of Laura Cruciani. A scholar is included among the top collaborators of Laura Cruciani based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Laura Cruciani. Laura Cruciani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 24 | |
| 8 | 45 | |
| 9 | 333 | |
| 10 | Perinatal infections and cerebral palsy. | 8 |
| 11 | Thymopentin administration and increase of sero-conversion after B-hepatitis vaccine in diabetic patients. | 8 |
About Laura Cruciani
Laura Cruciani is a scholar working on Obstetrics and Gynecology, Computer Vision and Pattern Recognition and Pediatrics, Perinatology and Child Health, having authored 11 papers that have together received 436 indexed citations. Recurring topics across this work include Augmented Reality Applications (3 papers), Surgical Simulation and Training (2 papers) and Biomarkers in Disease Mechanisms (2 papers). The work is most often cited by research in Obstetrics and Gynecology (215 citations), Pediatrics, Perinatology and Child Health (241 citations) and Gender Studies (41 citations). Laura Cruciani has collaborated with scholars based in Italy, United States and China. Frequent co-authors include Gian Carlo Di Renzo, A. Cutuli, Alessia Rosati, Pooja Mittal, Giovanna Oggè, Tinnakorn Chaiworapongsa, Zhong Dong, Sun Kwon Kim, Lami Yeo and Edi Vaisbuch. Their work appears in journals such as Neural Networks, Computer Methods and Programs in Biomedicine and The Journal of Maternal-Fetal & Neonatal Medicine.
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.