Daniel Förnvik
Impact in
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- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
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- Digital Radiography and Breast Imaging
Papers in
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- Breast Cancer Treatment Studies 17
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- Medical Imaging Techniques and Applications 11
- Ultrasound Imaging and Elastography 4
- Radiomics and Machine Learning in Medical Imaging 3
- Co-authors
- Sophia ZackrissonAnders TingbergIngvar AnderssonPontus TimbergMagnus DustlerTony SvahnHanna SartorKristina Lång
- Journals
- European Radiology (5 papers)Radiation Protection Dosimetry (4 papers)Breast Cancer Research and Treatment (3 papers)Acta Radiologica (3 papers)European Journal of Radiology (2 papers)
- Partner nations
- SwedenDenmarkUnited States
In The Last Decade
Daniel Förnvik
40 papers receiving 707 citations
Peers
Comparison fields: 5 of 50
- Radiology, Nuclear Medicine and Imaging 379
- Pulmonary and Respiratory Medicine 467
- Cancer Research 196
- Health Informatics 17
- Artificial Intelligence 394
Countries citing papers authored by Daniel Förnvik
This map shows the geographic impact of Daniel Förnvik'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 Daniel Förnvik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Förnvik more than expected).
Fields of papers citing papers by Daniel Förnvik
This network shows the impact of papers produced by Daniel Förnvik. 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 Daniel Förnvik. The network helps show where Daniel Förnvik may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Förnvik, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 4 | |
| 7 | 2021 | 19 | |
| 8 | 2020 | 44 | |
| 9 | 2020 | 7 | |
| 10 | 2020 | 18 | |
| 11 | 2020 | 15 | |
| 12 | 2019 | 19 | |
| 13 | 2018 | 9 | |
| 14 | 2018 | 118 | |
| 15 | 2015 | 32 | |
| 16 | 2013 | 20 | |
| 17 | 2012 | 12 | |
| 18 | 2011 | 23 | |
| 19 | 2010 | 64 | |
| 20 | 2010 | 35 |
About Daniel Förnvik
Daniel Förnvik is a scholar working on Cancer Research, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Artificial Intelligence and Oncology, having authored 44 papers that have together received 713 indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (27 papers), AI in cancer detection (25 papers), Breast Cancer Treatment Studies (17 papers), Medical Imaging Techniques and Applications (11 papers), Global Cancer Incidence and Screening (10 papers), Breast Lesions and Carcinomas (5 papers), Ultrasound Imaging and Elastography (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (379 citations), Pulmonary and Respiratory Medicine (467 citations), Cancer Research (196 citations), Health Informatics (17 citations) and Artificial Intelligence (394 citations). Daniel Förnvik has collaborated with scholars based in Sweden, Denmark and United States. Frequent co-authors include Sophia Zackrisson, Anders Tingberg, Ingvar Andersson, Pontus Timberg, Magnus Dustler, Tony Svahn, Hanna Sartor, Kristina Lång, Signe Borgquist and Otto Ljungberg. Their work appears in journals such as European Radiology, Radiation Protection Dosimetry, Breast Cancer Research and Treatment, Acta Radiologica and European Journal of Radiology.
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.