Otso Arponen
Impact in
- Geriatrics and Gerontology top 10%
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
Papers in
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- MRI in cancer diagnosis 11
- Radiomics and Machine Learning in Medical Imaging 10
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- Digital Radiography and Breast Imaging 11
- Co-authors
- Ritva Vanninen (12 shared papers)Irina Rinta‐Kiikka (16 shared papers)Said Pertuz (12 shared papers)Mikko Taina (6 shared papers)Antti Tolonen (3 shared papers)Pirjo Mustonen (4 shared papers)Antti Muuronen (4 shared papers)Marja Hedman (4 shared papers)
- Journals
- European Journal of Radiology (5 papers)PLoS ONE (5 papers)Scientific Reports (4 papers)European Radiology (3 papers)Radiology (2 papers)
- Partner nations
- FinlandColombiaUnited Kingdom
In The Last Decade
Otso Arponen
44 papers receiving 437 citations
Peers
Comparison fields: 5 of 89
- Geriatrics and Gerontology 35
- Radiology, Nuclear Medicine and Imaging 193
- Reproductive Medicine 44
- Obstetrics and Gynecology 28
- Cancer Research 51
Countries citing papers authored by Otso Arponen
This map shows the geographic impact of Otso Arponen'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 Otso Arponen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Otso Arponen more than expected).
Fields of papers citing papers by Otso Arponen
This network shows the impact of papers produced by Otso Arponen. 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 Otso Arponen. The network helps show where Otso Arponen may publish in the future.
Co-authors
The 25 scholars most cited alongside Otso Arponen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 85 | |
| 2 | 2015 | 46 | |
| 3 | 2016 | 29 | |
| 4 | 2017 | 29 | |
| 5 | 2014 | 18 | |
| 6 | 2019 | 16 | |
| 7 | 2023 | 15 | |
| 8 | 2019 | 14 | |
| 9 | 2020 | 13 | |
| 10 | 2017 | 12 | |
| 11 | 2022 | 12 | |
| 12 | 2023 | 11 | |
| 13 | 2024 | 10 | |
| 14 | 2016 | 10 | |
| 15 | 2017 | 10 | |
| 16 | 2019 | 10 | |
| 17 | 2015 | 9 | |
| 18 | 2017 | 8 | |
| 19 | 2018 | 7 | |
| 20 | 2021 | 7 |
About Otso Arponen
Otso Arponen is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Artificial Intelligence, Geriatrics and Gerontology and Oncology, having authored 50 papers that have together received 441 indexed citations. Recurring topics across this work include AI in cancer detection (13 papers), Digital Radiography and Breast Imaging (11 papers), MRI in cancer diagnosis (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Frailty in Older Adults (8 papers), Nutrition and Health in Aging (6 papers), Breast Cancer Treatment Studies (5 papers) and Breast Lesions and Carcinomas (5 papers). The work is most often cited by research in Geriatrics and Gerontology (35 citations), Radiology, Nuclear Medicine and Imaging (193 citations), Reproductive Medicine (44 citations), Obstetrics and Gynecology (28 citations) and Cancer Research (51 citations). Otso Arponen has collaborated with scholars based in Finland, Colombia and United Kingdom. Frequent co-authors include Ritva Vanninen, Irina Rinta‐Kiikka, Said Pertuz, Mikko Taina, Antti Tolonen, Pirjo Mustonen, Antti Muuronen, Marja Hedman, Pekka Jäkälä and Anna Sutela. Their work appears in journals such as European Journal of Radiology, PLoS ONE, Scientific Reports, European Radiology and 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.