T. Heinonen
Impact in
- Otorhinolaryngology top 10%
- Sinusitis and nasal conditions
- Rheumatology top 10%
- Systemic Lupus Erythematosus Research
Papers in
-
- Medical Imaging Techniques and Applications 4
- MRI in cancer diagnosis 4
- Radiomics and Machine Learning in Medical Imaging 4
-
- Multiple Sclerosis Research Studies 4
- Lymphoma Diagnosis and Treatment 3
- Co-authors
- Prasun Dastidar (17 shared papers)E. M. Laasonen (7 shared papers)Hannu Eskola (10 shared papers)Jura Numminen (2 shared papers)Markus Rautiainen (2 shared papers)Jukka Peltola (2 shared papers)Pertti Ryymin (3 shared papers)Terho Lehtimäki (2 shared papers)
In The Last Decade
T. Heinonen
20 papers receiving 495 citations
Peers
Comparison fields: 5 of 89
- Otorhinolaryngology 40
- Rheumatology 102
- Radiology, Nuclear Medicine and Imaging 138
- Pathology and Forensic Medicine 102
- Obstetrics and Gynecology 38
Countries citing papers authored by T. Heinonen
This map shows the geographic impact of T. Heinonen'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 T. Heinonen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Heinonen more than expected).
Fields of papers citing papers by T. Heinonen
This network shows the impact of papers produced by T. Heinonen. 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 T. Heinonen. The network helps show where T. Heinonen may publish in the future.
Co-authors
The 25 scholars most cited alongside T. Heinonen, 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 | 2004 | 80 | |
| 2 | 1999 | 54 | |
| 3 | 1999 | 47 | |
| 4 | 2010 | 46 | |
| 5 | 2000 | 44 | |
| 6 | 2003 | 43 | |
| 7 | 1998 | 43 | |
| 8 | 2009 | 39 | |
| 9 | 1997 | 37 | |
| 10 | 2003 | 16 | |
| 11 | 1998 | 14 | |
| 12 | Applications of MR image segmentation | 1999 | 12 |
| 13 | 1999 | 11 | |
| 14 | 1998 | 9 | |
| 15 | 2000 | 9 | |
| 16 | 1999 | 8 | |
| 17 | 2009 | 4 | |
| 18 | 2000 | 4 | |
| 19 | 2009 | 2 | |
| 20 | 1999 | 1 |
About T. Heinonen
T. Heinonen is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Computer Vision and Pattern Recognition, Rheumatology and Computer Graphics and Computer-Aided Design, having authored 20 papers that have together received 523 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (5 papers), Medical Imaging Techniques and Applications (4 papers), MRI in cancer diagnosis (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Multiple Sclerosis Research Studies (4 papers), Lymphoma Diagnosis and Treatment (3 papers), Computer Graphics and Visualization Techniques (3 papers) and Systemic Lupus Erythematosus Research (3 papers). The work is most often cited by research in Otorhinolaryngology (40 citations), Rheumatology (102 citations), Radiology, Nuclear Medicine and Imaging (138 citations), Pathology and Forensic Medicine (102 citations) and Obstetrics and Gynecology (38 citations). T. Heinonen has collaborated with scholars based in Finland and Slovakia. Frequent co-authors include Prasun Dastidar, E. M. Laasonen, Hannu Eskola, Jura Numminen, Markus Rautiainen, Jukka Peltola, Pertti Ryymin, Terho Lehtimäki, Tiina Luukkaala and Jaakko Malmivuo. Their work appears in journals such as Computers in Biology and Medicine, Journal of Computer Assisted Tomography, European Archives of Oto-Rhino-Laryngology, Computer Methods and Programs in Biomedicine and Computerized Medical Imaging and Graphics.
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.