Ilaria Gori

2.3k total citations
30 papers, 540 citations indexed

About

Ilaria Gori is a scholar working on Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ilaria Gori has authored 30 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 9 papers in Pulmonary and Respiratory Medicine and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ilaria Gori's work include Radiomics and Machine Learning in Medical Imaging (9 papers), Lung Cancer Diagnosis and Treatment (9 papers) and Human Pose and Action Recognition (8 papers). Ilaria Gori is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), Lung Cancer Diagnosis and Treatment (9 papers) and Human Pose and Action Recognition (8 papers). Ilaria Gori collaborates with scholars based in Italy, United States and United Kingdom. Ilaria Gori's co-authors include Alessandra Retico, Giorgio Metta, Maria Evelina Fantacci, J.K. Aggarwal, Ugo Pattacini, P. Delogu, Vadim Tikhanoff, Sean Fanello, Francesca Odone and Sara Calderoni and has published in prestigious journals such as The International Journal of Robotics Research, Pattern Recognition Letters and Frontiers in Neuroscience.

In The Last Decade

Ilaria Gori

28 papers receiving 507 citations

Peers

Ilaria Gori
Comparison fields: 5 of 78
  • Artificial Intelligence 170
  • Computer Vision and Pattern Recognition 160
  • Radiology, Nuclear Medicine and Imaging 155
  • Pulmonary and Respiratory Medicine 144
  • Control and Systems Engineering 97
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Citations per field, relative to Ilaria Gori
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Citations per year, relative to Ilaria Gori
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Countries citing papers authored by Ilaria Gori

Since Specialization
Citations

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

Fields of papers citing papers by Ilaria Gori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ilaria Gori

This figure shows the co-authorship network connecting the top 25 collaborators of Ilaria Gori. A scholar is included among the top collaborators of Ilaria Gori 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 Ilaria Gori. Ilaria Gori 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
# Work Indexed citations
1 1
2 66
3 7
4
Processing Magnetic Resonance Image Features with One-class Support Vector Machines - Investigation of the Autism Spectrum Disorder Heterogeneity
1
5 25
6 46
7 18
8 31
9 22
10 21
11 27
12 7
13 36
14 1
15 46
16 1
17 29
18 64
19 8
20 0

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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