T. Heinonen

672 total citations
20 papers, 523 citations indexed

About

T. Heinonen is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, T. Heinonen has authored 20 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Pathology and Forensic Medicine and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in T. Heinonen's work include Medical Image Segmentation Techniques (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and MRI in cancer diagnosis (4 papers). T. Heinonen is often cited by papers focused on Medical Image Segmentation Techniques (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and MRI in cancer diagnosis (4 papers). T. Heinonen collaborates with scholars based in Finland and Slovakia. T. Heinonen's co-authors include Prasun Dastidar, E. M. Laasonen, Hannu Eskola, Jura Numminen, Markus Rautiainen, Terho Lehtimäki, Jukka Peltola, Pertti Ryymin, S. Soimakallio and Jaakko Malmivuo and has published in prestigious journals such as Journal of the Neurological Sciences, Journal of Experimental & Clinical Cancer Research and Computer Methods and Programs in Biomedicine.

In The Last Decade

T. Heinonen

20 papers receiving 495 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
T. Heinonen Finland 12 138 102 102 92 72 20 523
I Leng Tan Netherlands 11 188 1.4× 255 2.5× 124 1.2× 70 0.8× 114 1.6× 13 575
Hidayet Erdöl Türkiye 16 316 2.3× 46 0.5× 54 0.5× 79 0.9× 60 0.8× 49 779
Meir Faibel Israel 14 380 2.8× 132 1.3× 50 0.5× 115 1.3× 195 2.7× 22 1.1k
Eyal Lotan Israel 10 197 1.4× 36 0.4× 195 1.9× 36 0.4× 43 0.6× 34 571
Eugenio Maria Covelli Italy 13 189 1.4× 71 0.7× 40 0.4× 34 0.4× 52 0.7× 38 442
Barbara Koszyca Australia 16 69 0.5× 41 0.4× 39 0.4× 107 1.2× 98 1.4× 39 612
B. Marro France 16 256 1.9× 59 0.6× 83 0.8× 112 1.2× 541 7.5× 37 1.6k
Akira Suzuki Japan 14 86 0.6× 47 0.5× 68 0.7× 66 0.7× 167 2.3× 47 823
Arzu Öztürk United States 16 365 2.6× 401 3.9× 81 0.8× 119 1.3× 122 1.7× 35 945
Tsuneo Tamaki Japan 16 370 2.7× 94 0.9× 45 0.4× 158 1.7× 62 0.9× 42 765

Countries citing papers authored by T. Heinonen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of T. Heinonen

This figure shows the co-authorship network connecting the top 25 collaborators of T. Heinonen. A scholar is included among the top collaborators of T. Heinonen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with T. Heinonen. T. Heinonen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Harrison, Lara, Tiina Luukkaala, T. Heinonen, et al.. (2010). Effect of slice thickness on brain magnetic resonance image texture analysis. BioMedical Engineering OnLine. 9(1). 60–60. 46 indexed citations
2.
Rossi, M, Hannu Pertovaara, Prasun Dastidar, et al.. (2009). Computed Tomography-Based Tumor Volume in Non-Hodgkin Lymphoma. Journal of Computer Assisted Tomography. 33(4). 641–649. 2 indexed citations
3.
Rossi, M, Prasun Dastidar, Hannu Pertovaara, et al.. (2009). Response Analysis of Non-Hodgkin Lymphoma Using Magnetic Resonance Imaging-Based Volumes. Journal of Computer Assisted Tomography. 33(3). 466–474. 4 indexed citations
4.
Harrison, Lara, Tiina Luukkaala, Hannu Pertovaara, et al.. (2009). Non-Hodgkin lymphoma response evaluation with MRI texture classification. Journal of Experimental & Clinical Cancer Research. 28(1). 87–87. 39 indexed citations
5.
Hietaharju, Aki, Prasun Dastidar, Jukka Loukkola, et al.. (2004). Increased serum matrix metalloproteinase 9 levels in systemic lupus erythematosus patients with neuropsychiatric manifestations and brain magnetic resonance imaging abnormalities. Arthritis & Rheumatism. 50(3). 858–865. 80 indexed citations
6.
Numminen, Jura, et al.. (2003). Reliability of acoustic rhinometry. Respiratory Medicine. 97(4). 421–427. 43 indexed citations
7.
Ukkonen, M., Prasun Dastidar, T. Heinonen, E. M. Laasonen, & Irina Elovaara. (2003). Volumetric quantitation by MRI in primary progressive multiple sclerosis: volumes of plaques and atrophy correlated with neurological disability. European Journal of Neurology. 10(6). 663–669. 16 indexed citations
8.
Dastidar, Prasun, T. Heinonen, Jukka-Pekka Ahonen, Mervi Jehkonen, & Gábor Molnár. (2000). Volumetric measurements of right cerebral hemisphere infarction: use of a semiautomatic MRI segmentation technique. Computers in Biology and Medicine. 30(1). 41–54. 9 indexed citations
9.
Dastidar, Prasun, Juhani Mäenpää, T. Heinonen, et al.. (2000). Magnetic resonance imaging based volume estimation of ovarian tumours: use of a segmentation and 3D reformation software. Computers in Biology and Medicine. 30(6). 329–340. 4 indexed citations
10.
Uotila, Jukka, Prasun Dastidar, T. Heinonen, et al.. (2000). Magnetic resonance imaging compared to ultrasonography in fetal weight and volume estimation in diabetic and normal pregnancy. Acta Obstetricia Et Gynecologica Scandinavica. 79(4). 255–259. 44 indexed citations
11.
Dastidar, Prasun, T. Heinonen, Terho Lehtimäki, et al.. (1999). Volumes of brain atrophy and plaques correlated with neurological disability in secondary progressive multiple sclerosis. Journal of the Neurological Sciences. 165(1). 36–42. 47 indexed citations
12.
Heinonen, T., et al.. (1999). Implementation of Three-Dimensional EEG Brain Mapping. Computers and Biomedical Research. 32(2). 123–131. 8 indexed citations
13.
Dastidar, Prasun, T. Heinonen, Jura Numminen, Markus Rautiainen, & E. M. Laasonen. (1999). Semi-automatic segmentation of computed tomographic images in volumetric estimation of nasal airway. European Archives of Oto-Rhino-Laryngology. 256(4). 192–198. 54 indexed citations
14.
Dastidar, Prasun, et al.. (1999). Computerised volumetric analysis of lesions in multiple sclerosis using new semi-automatic segmentation software. Medical & Biological Engineering & Computing. 37(1). 104–107. 11 indexed citations
15.
Heinonen, T., Prasun Dastidar, Pertti Ryymin, et al.. (1999). Applications of magnetic resonance image segmentation in neurology. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3658. 569–569. 1 indexed citations
16.
Heinonen, T., Prasun Dastidar, H. Frey, & Hannu Eskola. (1999). Applications of MR image segmentation. 1(1). 35–46. 12 indexed citations
17.
Heinonen, T., et al.. (1998). 3D visualization library for multimodal medical images. Computerized Medical Imaging and Graphics. 22(4). 267–273. 9 indexed citations
18.
Kauppinen, P., Jari Hyttinen, T. Heinonen, & Jaakko Malmivuo. (1998). Detailed model of the thorax as a volume conductor based on the visible human man data. Journal of Medical Engineering & Technology. 22(3). 126–133. 14 indexed citations
19.
Heinonen, T., Prasun Dastidar, Hannu Eskola, et al.. (1998). Applicability of semi-automatic segmentation for volumetric analysis of brain lesions. Journal of Medical Engineering & Technology. 22(4). 173–178. 43 indexed citations
20.
Heinonen, T., et al.. (1997). Segmentation of T1 MR scans for reconstruction of resistive head models. Computer Methods and Programs in Biomedicine. 54(3). 173–181. 37 indexed citations

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.

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