Teemu Mäkelä
Impact in
- Health Informatics top 5%
-
- Medical Imaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Radiation Dose and Imaging
- Radiomics and Machine Learning in Medical Imaging
- Cardiac Imaging and Diagnostics
Papers in
-
- Radiation Dose and Imaging 15
- Medical Imaging Techniques and Applications 10
- Advanced MRI Techniques and Applications 7
- Radiomics and Machine Learning in Medical Imaging 7
-
- Advanced X-ray and CT Imaging 17
- Co-authors
- Patrick Clarysse (2 shared papers)Quoc Cuong Pham (1 shared paper)Isabelle E. Magnin (1 shared paper)T. Katila (1 shared paper)Outi Sipilä (1 shared paper)Arto Annila (1 shared paper)Sauli Savolainen (10 shared papers)Marko Kangasniemi (10 shared papers)
In The Last Decade
Teemu Mäkelä
41 papers receiving 661 citations
Peers
Comparison fields: 5 of 99
- Health Informatics 35
- Radiology, Nuclear Medicine and Imaging 336
- Computer Vision and Pattern Recognition 169
- Neurology 58
- Internal Medicine 23
Countries citing papers authored by Teemu Mäkelä
This map shows the geographic impact of Teemu Mäkelä'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 Teemu Mäkelä with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teemu Mäkelä more than expected).
Fields of papers citing papers by Teemu Mäkelä
This network shows the impact of papers produced by Teemu Mäkelä. 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 Teemu Mäkelä. The network helps show where Teemu Mäkelä may publish in the future.
Co-authors
The 25 scholars most cited alongside Teemu Mäkelä, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 247 | |
| 2 | 2010 | 68 | |
| 3 | 2019 | 59 | |
| 4 | 2022 | 25 | |
| 5 | 2018 | 25 | |
| 6 | 2017 | 23 | |
| 7 | 2021 | 18 | |
| 8 | 2019 | 16 | |
| 9 | 2021 | 15 | |
| 10 | 2018 | 15 | |
| 11 | 2022 | 12 | |
| 12 | 2016 | 11 | |
| 13 | 1998 | 11 | |
| 14 | 2019 | 10 | |
| 15 | 2021 | 9 | |
| 16 | 2017 | 9 | |
| 17 | 2002 | 9 | |
| 18 | 2023 | 8 | |
| 19 | 2018 | 8 | |
| 20 | 2021 | 8 |
About Teemu Mäkelä
Teemu Mäkelä is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Pulmonary and Respiratory Medicine, Epidemiology and Artificial Intelligence, having authored 44 papers that have together received 689 indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (17 papers), Radiation Dose and Imaging (15 papers), Medical Imaging Techniques and Applications (10 papers), Advanced MRI Techniques and Applications (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Digital Radiography and Breast Imaging (5 papers), Acute Ischemic Stroke Management (5 papers) and AI in cancer detection (5 papers). The work is most often cited by research in Health Informatics (35 citations), Radiology, Nuclear Medicine and Imaging (336 citations), Computer Vision and Pattern Recognition (169 citations), Neurology (58 citations) and Internal Medicine (23 citations). Teemu Mäkelä has collaborated with scholars based in Finland, Canada and France. Frequent co-authors include Patrick Clarysse, Quoc Cuong Pham, Isabelle E. Magnin, T. Katila, Outi Sipilä, Arto Annila, Sauli Savolainen, Marko Kangasniemi, Touko Kaasalainen and Eero Salli. Their work appears in journals such as Physica Medica, Journal of Digital Imaging, European Radiology Experimental, Magnetic Resonance Materials in Physics Biology and Medicine and Acta Radiologica.
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.