Alessia Giuliano

553 total citations
21 papers, 324 citations indexed

About

Alessia Giuliano is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Alessia Giuliano has authored 21 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 7 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Genetics. Recurrent topics in Alessia Giuliano's work include Autism Spectrum Disorder Research (8 papers), Genetics and Neurodevelopmental Disorders (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Alessia Giuliano is often cited by papers focused on Autism Spectrum Disorder Research (8 papers), Genetics and Neurodevelopmental Disorders (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Alessia Giuliano collaborates with scholars based in Italy, United States and Greece. Alessia Giuliano's co-authors include Alessandra Retico, Sara Calderoni, Filippo Muratori, Michela Tosetti, Angela Cosenza, Raffaella Tancredi, Ilaria Gori, P. Oliva, Maria Evelina Fantacci and Graziella Donatelli and has published in prestigious journals such as PLoS ONE, European Journal of Neuroscience and Human Brain Mapping.

In The Last Decade

Alessia Giuliano

19 papers receiving 318 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alessia Giuliano Italy 10 207 88 76 45 35 21 324
Torsten Ruest United Kingdom 8 204 1.0× 64 0.7× 105 1.4× 68 1.5× 37 1.1× 9 390
Yu Yong Choi South Korea 8 346 1.7× 38 0.4× 123 1.6× 69 1.5× 56 1.6× 22 571
Ayumi Seki Japan 13 272 1.3× 22 0.3× 41 0.5× 39 0.9× 47 1.3× 31 538
Kori Johnson Australia 10 264 1.3× 48 0.5× 92 1.2× 42 0.9× 38 1.1× 15 360
Alex M. Pagnozzi Australia 13 185 0.9× 55 0.6× 111 1.5× 124 2.8× 31 0.9× 30 467
Christoph Fraenz Germany 12 251 1.2× 36 0.4× 164 2.2× 35 0.8× 27 0.8× 23 436
Afrooz Jahedi United States 10 611 3.0× 91 1.0× 119 1.6× 123 2.7× 43 1.2× 12 656
Jill C. Gardner United States 11 298 1.4× 75 0.9× 69 0.9× 31 0.7× 95 2.7× 19 499
Kleovoulos Tsourides United States 7 372 1.8× 34 0.4× 27 0.4× 64 1.4× 13 0.4× 10 506
Juma Mbwana United States 7 316 1.5× 29 0.3× 88 1.2× 87 1.9× 19 0.5× 10 384

Countries citing papers authored by Alessia Giuliano

Since Specialization
Citations

This map shows the geographic impact of Alessia Giuliano'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 Alessia Giuliano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessia Giuliano more than expected).

Fields of papers citing papers by Alessia Giuliano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alessia Giuliano. 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 Alessia Giuliano. The network helps show where Alessia Giuliano may publish in the future.

Co-authorship network of co-authors of Alessia Giuliano

This figure shows the co-authorship network connecting the top 25 collaborators of Alessia Giuliano. A scholar is included among the top collaborators of Alessia Giuliano 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 Alessia Giuliano. Alessia Giuliano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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2.
Fanizzi, Annarita, Leda Lorenzon, Alessia Giuliano, et al.. (2024). Developing an ensemble machine learning study: Insights from a multi-center proof-of-concept study. PLoS ONE. 19(9). e0303217–e0303217. 2 indexed citations
3.
Fanizzi, Annarita, Leda Lorenzon, Alessia Giuliano, et al.. (2024). Robust machine learning challenge: An AIFM multicentric competition to spread knowledge, identify common pitfalls and recommend best practice. Physica Medica. 127. 104834–104834. 3 indexed citations
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Malatesta, T., A. Scaggion, F.R. Giglioli, et al.. (2023). Patient specific quality assurance in SBRT: a systematic review of measurement-based methods. Physics in Medicine and Biology. 68(21). 21TR01–21TR01. 8 indexed citations
7.
Giuliano, Alessia, R. Bellotti, Angela Lombardi, et al.. (2022). Multi-site harmonization of MRI data uncovers machine-learning discrimination capability in barely separable populations: An example from the ABIDE dataset. NeuroImage Clinical. 35. 103082–103082. 20 indexed citations
8.
Martino, Fabio Di, et al.. (2021). Correction for the Partial Volume Effects (PVE) in Nuclear Medicine Imaging: A Post-Reconstruction Analytic Method. Applied Sciences. 11(14). 6460–6460. 5 indexed citations
9.
10.
Bosco, Paolo, Alessia Giuliano, Jonathan Delafield‐Butt, et al.. (2018). Brainstem enlargement in preschool children with autism: Results from an intermethod agreement study of segmentation algorithms. Human Brain Mapping. 40(1). 7–19. 18 indexed citations
11.
Giuliano, Alessia, et al.. (2018). 149. Skin dose in radiotherapy: Results of in vivo measurements with Gafchromic EBT3 films. Physica Medica. 56. 156–157.
12.
Retico, Alessandra, Paolo Bosco, Sara Calderoni, et al.. (2017). ARIANNA: A research environment for neuroimaging studies in autism spectrum disorders. Computers in Biology and Medicine. 87. 1–7. 5 indexed citations
13.
Giuliano, Alessia, Graziella Donatelli, Mirco Cosottini, et al.. (2017). Hippocampal subfields at ultra high field MRI: An overview of segmentation and measurement methods. Hippocampus. 27(5). 481–494. 51 indexed citations
14.
Gori, Ilaria, Alessia Giuliano, P. Oliva, et al.. (2016). Processing Magnetic Resonance Image Features with One-class Support Vector Machines - Investigation of the Autism Spectrum Disorder Heterogeneity. 111–117. 1 indexed citations
15.
Retico, Alessandra, Ilaria Gori, Alessia Giuliano, Filippo Muratori, & Sara Calderoni. (2016). One-Class Support Vector Machines Identify the Language and Default Mode Regions As Common Patterns of Structural Alterations in Young Children with Autism Spectrum Disorders. Frontiers in Neuroscience. 10. 306–306. 25 indexed citations
16.
Retico, Alessandra, Alessia Giuliano, Raffaella Tancredi, et al.. (2016). The effect of gender on the neuroanatomy of children with autism spectrum disorders: a support vector machine case-control study. Molecular Autism. 7(1). 5–5. 75 indexed citations
17.
Giuliano, Alessia, Ilaria Gori, Filippo Muratori, et al.. (2016). Machine learning techniques implemented ON structural MRI features at different spatial scales for preschoolers with autism spectrum disorders. Physica Medica. 32. 128–128. 2 indexed citations
18.
Sotiropoulou, C. L., et al.. (2016). Medical image processing using brain emulation. 1–3. 1 indexed citations
19.
Gori, Ilaria, Alessia Giuliano, Filippo Muratori, et al.. (2015). Gray Matter Alterations in Young Children with Autism Spectrum Disorders: Comparing Morphometry at the Voxel and Regional Level. Journal of Neuroimaging. 25(6). 866–874. 46 indexed citations
20.
Lieto, A. Di, et al.. (2011). Hall effect in a moving liquid. European Journal of Physics. 33(1). 115–127. 4 indexed citations

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.

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