Roberta Green

1.2k citations
46 papers · 689 indexed · h-index 16

Impact in

Papers in

Roberta Green

44 papers receiving 680 citations

Peers

Roberta Green
Comparison fields: 5 of 80
  • Radiology, Nuclear Medicine and Imaging 439
  • Health Informatics 24
  • Cardiology and Cardiovascular Medicine 158
  • Health Information Management 20
  • Surgery 177
Replace Valeria Cantoni with:
Valeria Cantoni Italy
Ryan Zea United States
Jeremy R. Burt United States
Elizabeth Le United Kingdom
Jeanne B. Ackman United States
Abdullah Alabousi Canada
Andrew Hughes United States
Márton Tokodi Hungary
Laith R. Sultan United States
Matthew Lumley United Kingdom
Roberta Green relative to Valeria Cantoni Italy Valeria Cantoni's profile →
Citations per field
00.5×1.5×
Valeria Cantoni · 1×
Citations per year

Countries citing papers authored by Roberta Green

Since Specialization
Citations

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

Fields of papers citing papers by Roberta Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202080
2 202064
3 202162
4 201937
5 201835
6 201928
7 201927
8 201425
9 202125
10 201720
11 202219
12 202019
13 201816
14 201816
15 202015
16 202115
17 202114
18 202013
19 202213
20 201913

About Roberta Green

Roberta Green is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Biomedical Engineering, Surgery and Health Information Management, having authored 46 papers that have together received 689 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (30 papers), Advanced X-ray and CT Imaging (15 papers), Advanced MRI Techniques and Applications (14 papers), Cardiovascular Disease and Adiposity (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Coronary Interventions and Diagnostics (4 papers), Radiation Dose and Imaging (4 papers) and Medical Imaging Techniques and Applications (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (439 citations), Health Informatics (24 citations), Cardiology and Cardiovascular Medicine (158 citations), Health Information Management (20 citations) and Surgery (177 citations). Roberta Green has collaborated with scholars based in Italy, United Kingdom and Netherlands. Frequent co-authors include Valeria Cantoni, Alberto Cuocolo, Wanda Acampa, Mario Petretta, Carmela Nappi, Renato Cuocolo, Valeria Gaudieri, Emilia Zampella, Roberta Assante and Teresa Mannarino. Their work appears in journals such as Journal of Nuclear Cardiology, European Journal of Nuclear Medicine and Molecular Imaging, European Radiology, Obesity Surgery and Neuroradiology.

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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