Daniela Giordano

4.2k citations
185 papers · 3.2k · 1 hit paper · h-index 30

Impact in

Papers in

Daniela Giordano

172 papers receiving 3.1k citations

Daniela Giordano's Hit Papers

Deep learning for automated skeletal bone age assessment in X-ray images 2016 · 332 citations
3320+3+6Years since publication100200300

Peers

Daniela Giordano
Comparison fields: 5 of 165
  • Health Informatics 96
  • Oral Surgery 436
  • Computer Science Applications 282
  • Computer Vision and Pattern Recognition 961
  • Orthodontics 149
Replace Concetto Spampinato with:
Concetto Spampinato Italy
Horace H. S. Ip Hong Kong
Chastine Fatichah Indonesia
Marcin Grzegorzek Germany
Syed Mohammed Shamsul Islam Australia
Hu Han China
Tomas Pfister United States
Juan F. De Paz Spain
Josephine Sullivan Sweden
Mohammed Al-Sarem Saudi Arabia
Daniela Giordano relative to Concetto Spampinato Italy Concetto Spampinato's profile →
Citations per field
00.5×9.4×
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 185 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 →
2016332
2 2010195
3 2007121
4 201798
5 201981
6 201780
7 201078
8 201377
9 201274
10 201368
11 201165
12 202264
13 201362
14 201157
15 201555
16 200953
17 201550
18 201249
19 200848
20 201347

About Daniela Giordano

Daniela Giordano is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Computer Science Applications and Molecular Biology, having authored 185 papers that have together received 3.2k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (18 papers), Semantic Web and Ontologies (17 papers), Dental Radiography and Imaging (17 papers), Advanced Image and Video Retrieval Techniques (12 papers), Context-Aware Activity Recognition Systems (12 papers), Open Education and E-Learning (11 papers), Visual Attention and Saliency Detection (9 papers) and Transcranial Magnetic Stimulation Studies (9 papers). The work is most often cited by research in Health Informatics (96 citations), Oral Surgery (436 citations), Computer Science Applications (282 citations), Computer Vision and Pattern Recognition (961 citations) and Orthodontics (149 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, Carmelo Pino and Mubarak Shah. Their work appears in journals such as BioMed Research International, The Angle Orthodontist, Multimedia Tools and Applications, IEEE Transactions on Instrumentation and Measurement and Knowledge-Based Systems.

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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