Mika Pollari
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
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- Radiomics and Machine Learning in Medical Imaging
- Optical Imaging and Spectroscopy Techniques
- Advanced MRI Techniques and Applications
Papers in
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- Radiomics and Machine Learning in Medical Imaging 5
- Advanced Neuroimaging Techniques and Applications 4
- Advanced MRI Techniques and Applications 4
- Medical Imaging Techniques and Applications 2
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- Hepatocellular Carcinoma Treatment and Prognosis 5
- Co-authors
- Yrjö Häme (2 shared papers)Jyrki Lötjönen (4 shared papers)Michael Moche (6 shared papers)Stephen J. Payne (2 shared papers)Roberto Blanco Sequeiros (3 shared papers)Philipp Stiegler (2 shared papers)Marina Kolesnik (5 shared papers)Jurgen J. Fütterer (5 shared papers)
In The Last Decade
Mika Pollari
19 papers receiving 236 citations
Peers
Comparison fields: 5 of 54
- Hepatology 54
- Radiology, Nuclear Medicine and Imaging 88
- Computer Vision and Pattern Recognition 53
- Biophysics 10
- Computational Mathematics 1
Countries citing papers authored by Mika Pollari
This map shows the geographic impact of Mika Pollari'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 Mika Pollari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mika Pollari more than expected).
Fields of papers citing papers by Mika Pollari
This network shows the impact of papers produced by Mika Pollari. 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 Mika Pollari. The network helps show where Mika Pollari may publish in the future.
Co-authors
The 25 scholars most cited alongside Mika Pollari, 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 | 2011 | 53 | |
| 2 | 2011 | 41 | |
| 3 | 2016 | 30 | |
| 4 | 2018 | 25 | |
| 5 | 2009 | 24 | |
| 6 | 2019 | 12 | |
| 7 | 2010 | 11 | |
| 8 | 2005 | 11 | |
| 9 | 2006 | 7 | |
| 10 | 2020 | 6 | |
| 11 | 2005 | 6 | |
| 12 | 2015 | 4 | |
| 13 | 2007 | 4 | |
| 14 | 2007 | 3 | |
| 15 | 2010 | 2 | |
| 16 | 2021 | 1 | |
| 17 | 2010 | 1 | |
| 18 | Image analysis for liver tumor ablation treatment planning | 2009 | 1 |
| 19 | 2016 | 1 |
About Mika Pollari
Mika Pollari is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology, Computer Vision and Pattern Recognition, Biomedical Engineering and Cognitive Neuroscience, having authored 19 papers that have together received 243 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Advanced MRI Techniques and Applications (4 papers), Medical Image Segmentation Techniques (3 papers), Advanced Radiotherapy Techniques (2 papers), Medical Imaging Techniques and Applications (2 papers) and Functional Brain Connectivity Studies (2 papers). The work is most often cited by research in Hepatology (54 citations), Radiology, Nuclear Medicine and Imaging (88 citations), Computer Vision and Pattern Recognition (53 citations), Biophysics (10 citations) and Computational Mathematics (1 citation). Mika Pollari has collaborated with scholars based in Finland, Austria and Germany. Frequent co-authors include Yrjö Häme, Jyrki Lötjönen, Michael Moche, Stephen J. Payne, Roberto Blanco Sequeiros, Philipp Stiegler, Marina Kolesnik, Jurgen J. Fütterer, Ilkka Nissilä and David O'Neill. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, Scientific Reports, European Radiology, Optics Express and Medical Image Analysis.
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.