Daniela Giordano

144 papers receiving 2.5k citations

Daniela Giordano's Hit Papers

Deep learning for automated skeletal bone age assessment in X-ray images 2016 · 300 citations
3000+3+6Years since publication100200300

Peers

Daniela Giordano
Comparison fields: 5 of 164
  • Health Informatics 111
  • Oral Surgery 462
  • Orthodontics 197
  • Computer Science Applications 203
  • Computer Vision and Pattern Recognition 703
Replace Concetto Spampinato with:
Concetto Spampinato Italy
Mohamed Abdel-Mottaleb United States
Syed Mohammed Shamsul Islam Australia
Andrew Gallagher United States
David Marshall United Kingdom
Abdenour Hadid Finland
Josephine Sullivan Sweden
Song Wu China
José Carlos Castillo Spain
Mohammed Al-Sarem Saudi Arabia
Daniela Giordano relative to Concetto Spampinato Italy Concetto Spampinato's profile →
Citations per field
00.5×7.5×
Concetto Spampinato · 1×
Citations per year

Countries citing papers authored by Daniela Giordano

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Giordano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniela Giordano, 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 Daniela Giordano Line = papers co-authored together Daniela Giordano links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 153 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep learning for automated skeletal bone age assessment in X-ray images
Hit paper breakdown →
2016300
2 2010164
3 2007114
4 201787
5 201072
6 201769
7 201366
8 201263
9 201362
10 201160
11 202259
12 201357
13 200952
14 201149
15 201548
16 201246
17 201345
18 201144
19 201342
20 200741

About Daniela Giordano

Daniela Giordano is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Computer Science Applications and Oral Surgery, having authored 153 papers that have together received 2.6k indexed citations. Recurring topics across this work include Dental Radiography and Imaging (17 papers), Video Surveillance and Tracking Methods (13 papers), Semantic Web and Ontologies (12 papers), Context-Aware Activity Recognition Systems (11 papers), Open Education and E-Learning (10 papers), Orthodontics and Dentofacial Orthopedics (9 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Biomedical Text Mining and Ontologies (8 papers). The work is most often cited by research in Health Informatics (111 citations), Oral Surgery (462 citations), Orthodontics (197 citations), Computer Science Applications (203 citations) and Computer Vision and Pattern Recognition (703 citations). Daniela Giordano has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Concetto Spampinato, Alberto Faro, Simone Palazzo, Rosalia Leonardi, Francesco Maiorana, Isaak Kavasidis, Marco Aldinucci, Roberto Di Salvo, Mubarak Shah and Robert B. Fisher. Their work appears in journals such as Knowledge-Based Systems, IEEE Transactions on Instrumentation and Measurement, BioMed Research International, Multimedia Tools and Applications and Computer Methods and Programs in Biomedicine.

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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