Sabina Tangaro

4.8k citations
145 papers · 2.5k indexed · h-index 27

Sabina Tangaro

134 papers receiving 2.4k citations

Peers

Sabina Tangaro
Comparison fields: 5 of 169
  • Health Informatics 61
  • Radiology, Nuclear Medicine and Imaging 855
  • Neurology 284
  • Artificial Intelligence 723
  • Cognitive Neuroscience 365
Replace R. Bellotti with:
R. Bellotti Italy
Giovanni Montana United Kingdom
Yuankai Huo United States
Christian Salvatore Italy
Nicola Amoroso Italy
Jinzhu Yang China
Tao Zhou China
Evangelia I. Zacharaki Greece
Minjeong Kim United States
Kim‐Han Thung United States
Sabina Tangaro relative to R. Bellotti Italy R. Bellotti's profile →
Citations per field
00.5×1.5×
R. Bellotti · 1×
Citations per year

Countries citing papers authored by Sabina Tangaro

Since Specialization
Citations

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

Fields of papers citing papers by Sabina Tangaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Sabina Tangaro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sabina Tangaro Line = papers co-authored together Sabina Tangaro links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20250
4 20243
5 20241
6 20243
7 20241
8 202439
9 20245
10 202320
11 20230
12 202316
13 202249
14 202220
15 201813
16 201524
17
Active Learning Machines for Automatic Segmentation of Hippocampus in MRI.
20134
18
Mass lesion detection in mammographic images using Haralik textural features
20061
19
DISSIMILARITY APPLICATION FOR MEDICAL IMAGING CLASSIFICATION
20052
20 200514

About Sabina Tangaro

Sabina Tangaro is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience, having authored 145 papers that have together received 2.5k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (26 papers), AI in cancer detection (25 papers), Radiomics and Machine Learning in Medical Imaging (22 papers), Advanced Neuroimaging Techniques and Applications (18 papers), Dementia and Cognitive Impairment Research (11 papers), Medical Image Segmentation Techniques (10 papers), Alzheimer's disease research and treatments (10 papers) and Advanced X-ray and CT Imaging (9 papers). The work is most often cited by research in Health Informatics (61 citations), Radiology, Nuclear Medicine and Imaging (855 citations) and Neurology (284 citations). Sabina Tangaro has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include R. Bellotti, Nicola Amoroso, A. Monaco, Angela Lombardi, Marianna La Rocca, Domenico Diacono, Annarita Fanizzi, Loredana Bellantuono, T. Maggipinto and Raffaella Massafra. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

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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