Roberta Green

1.3k citations
50 papers · 882 · h-index 18

Impact in

Papers in

Roberta Green

47 papers receiving 862 citations

Peers

Roberta Green
Comparison fields: 5 of 86
  • Radiology, Nuclear Medicine and Imaging 449
  • Health Informatics 19
  • Health Information Management 27
  • Cardiology and Cardiovascular Medicine 109
  • Surgery 160
Replace Valeria Cantoni with:
Valeria Cantoni Italy
Erica C. Jones United States
Pil Sang Song South Korea
Andrew N. Hughes United States
Archana T. Laroia United States
Ivana Jankovic United States
Ryan D. Zea United States
Sukrit Narula United States
Hyue Mee Kim South Korea
Kristopher D. Knott 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 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202086
2 202081
3 202164
4 201854
5 201943
6 201942
7 201940
8 202132
9 201429
10 201727
11 202022
12 202222
13 201921
14 202320
15 201819
16 201819
17 202119
18 202018
19 202018
20 201617

About Roberta Green

Roberta Green is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Health Information Management, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 50 papers that have together received 882 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (29 papers), Advanced MRI Techniques and Applications (3 papers), Advanced X-ray and CT Imaging (3 papers), Infective Endocarditis Diagnosis and Management (2 papers), Artificial Intelligence in Healthcare (2 papers), Orthopedic Infections and Treatments (2 papers), Coronary Interventions and Diagnostics (2 papers) and Prostate Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (449 citations), Health Informatics (19 citations), Health Information Management (27 citations), Cardiology and Cardiovascular Medicine (109 citations) and Surgery (160 citations). Roberta Green has collaborated with scholars based in Italy, United Kingdom and Czechia. 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, Obesity Surgery, European Radiology and Journal of Cardiovascular Magnetic Resonance.

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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