Charlotte Högberg
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Health Informatics top 1%
- Oncology
- Pulmonary and Respiratory Medicine
- Co-authors
- Stefan LarssonKristina LångAnna-Maria LarssonSolveig HofvindAldana RossoIngvar AnderssonHanna SartorAnne Kaun
- Topics
- Ethics and Social Impacts of AI (3 papers)Artificial Intelligence in Healthcare and Education (3 papers)AI in cancer detection (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Lancet OncologyBig Data & Society
In The Last Decade
Charlotte Högberg
6 papers receiving 258 citations
Hit Papers
Peers
Comparison fields: 5 of 55
- Radiology, Nuclear Medicine and Imaging 153
- Artificial Intelligence 150
- Health Informatics 119
- Oncology 56
- Pulmonary and Respiratory Medicine 45
Countries citing papers authored by Charlotte Högberg
This map shows the geographic impact of Charlotte Högberg'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 Charlotte Högberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charlotte Högberg more than expected).
Fields of papers citing papers by Charlotte Högberg
This network shows the impact of papers produced by Charlotte Högberg. 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 Charlotte Högberg. The network helps show where Charlotte Högberg may publish in the future.
Co-authorship network of co-authors of Charlotte Högberg
This figure shows the co-authorship network connecting the top 25 collaborators of Charlotte Högberg. A scholar is included among the top collaborators of Charlotte Högberg 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 Charlotte Högberg. Charlotte Högberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 5 | |
| 4 | 14 | |
| 5 | Artificial intelligence-supported screen reading versus standard double reading in the Mammography Screening with Artificial Intelligence trial (MASAI): a clinical safety analysis of a randomised, controlled, non-inferiority, single-blinded, screening accuracy studybreakdown → | 237 |
| 6 | 1 |
About Charlotte Högberg
Charlotte Högberg is a scholar working on Health Informatics, Safety Research and Management of Technology and Innovation, having authored 6 papers that have together received 262 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (3 papers), Artificial Intelligence in Healthcare and Education (3 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Health Informatics (119 citations), Radiology, Nuclear Medicine and Imaging (153 citations) and Artificial Intelligence (150 citations). Charlotte Högberg has collaborated with scholars based in Sweden and Norway. Frequent co-authors include Stefan Larsson, Kristina Lång, Anna-Maria Larsson, Solveig Hofvind, Aldana Rosso, Ingvar Andersson, Hanna Sartor and Anne Kaun. Their work appears in journals such as SHILAP Revista de lepidopterología, The Lancet Oncology and Big Data & Society.
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.