Teemu Mäkelä

1.0k total citations
44 papers, 689 citations indexed

About

Teemu Mäkelä is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Teemu Mäkelä has authored 44 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Biomedical Engineering and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Teemu Mäkelä's work include Advanced X-ray and CT Imaging (17 papers), Radiation Dose and Imaging (15 papers) and Medical Imaging Techniques and Applications (10 papers). Teemu Mäkelä is often cited by papers focused on Advanced X-ray and CT Imaging (17 papers), Radiation Dose and Imaging (15 papers) and Medical Imaging Techniques and Applications (10 papers). Teemu Mäkelä collaborates with scholars based in Finland, Canada and France. Teemu Mäkelä's co-authors include Patrick Clarysse, T. Katila, Isabelle E. Magnin, Outi Sipilä, Quoc Cuong Pham, Arto Annila, Sauli Savolainen, Marko Kangasniemi, Touko Kaasalainen and Eero Salli and has published in prestigious journals such as IEEE Transactions on Medical Imaging, BMC Bioinformatics and Electronics Letters.

In The Last Decade

Teemu Mäkelä

41 papers receiving 661 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Teemu Mäkelä Finland 12 336 197 169 98 84 44 689
Benqiang Yang China 16 222 0.7× 120 0.6× 379 2.2× 183 1.9× 194 2.3× 90 920
Markus Kowarschik Germany 19 494 1.5× 327 1.7× 163 1.0× 254 2.6× 164 2.0× 67 1.2k
Ganapathy Krishnamurthi India 14 266 0.8× 99 0.5× 127 0.8× 133 1.4× 72 0.9× 35 681
Rongjun Ge China 16 305 0.9× 220 1.1× 271 1.6× 80 0.8× 12 0.1× 35 657
Mohamed Almekkawy United States 14 365 1.1× 412 2.1× 155 0.9× 47 0.5× 35 0.4× 87 859
Jiahua Fan United States 16 387 1.2× 312 1.6× 67 0.4× 181 1.8× 107 1.3× 89 1.1k
Nishant Ravikumar United Kingdom 15 325 1.0× 142 0.7× 205 1.2× 44 0.4× 29 0.3× 63 669
N. Ayache France 7 350 1.0× 85 0.4× 151 0.9× 33 0.3× 24 0.3× 10 645
Linwei Wang United States 15 321 1.0× 148 0.8× 174 1.0× 49 0.5× 33 0.4× 77 1.0k
Yongsheng Pan China 16 242 0.7× 161 0.8× 267 1.6× 51 0.5× 36 0.4× 80 1.0k

Countries citing papers authored by Teemu Mäkelä

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Teemu Mäkelä

This figure shows the co-authorship network connecting the top 25 collaborators of Teemu Mäkelä. A scholar is included among the top collaborators of Teemu Mäkelä 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 Teemu Mäkelä. Teemu Mäkelä 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.
Mäkelä, Teemu, et al.. (2024). Testing process for artificial intelligence applications in radiology practice. Physica Medica. 128. 104842–104842. 4 indexed citations
2.
Mäkelä, Teemu, et al.. (2023). Leveraging open dataset and transfer learning for accurate recognition of chronic pulmonary embolism from CT angiogram maximum intensity projection images. European Radiology Experimental. 7(1). 33–33. 8 indexed citations
3.
Mäkelä, Teemu, et al.. (2023). Automatic chest computed tomography image noise quantification using deep learning. Physica Medica. 117. 103186–103186. 4 indexed citations
4.
Toroi, Paula, Touko Kaasalainen, Jouni Uusi-Simola, et al.. (2023). Intraoperative CBCT imaging in endovascular abdomen aneurysm repair – Optimization of exposure parameters using a stent phantom. Physica Medica. 112. 102634–102634. 1 indexed citations
5.
Mäkelä, Teemu, et al.. (2022). Comparing image quality of five breast tomosynthesis systems based on radiologists’ reviews of phantom data. Acta Radiologica. 64(5). 1799–1807. 2 indexed citations
6.
Mäkelä, Teemu, et al.. (2022). Automatic CT Angiography Lesion Segmentation Compared to CT Perfusion in Ischemic Stroke Detection: a Feasibility Study. Journal of Digital Imaging. 35(3). 551–563. 12 indexed citations
7.
8.
Mäkelä, Teemu, et al.. (2022). Convolutional neural network -based phantom image scoring for mammography quality control. BMC Medical Imaging. 22(1). 216–216. 3 indexed citations
9.
Mäkelä, Teemu, et al.. (2022). Automatic head computed tomography image noise quantification with deep learning. Physica Medica. 99. 102–112. 6 indexed citations
10.
Mäkelä, Teemu, Mika Kortesniemi, & Touko Kaasalainen. (2022). The impact of vertical off-centering on image noise and breast dose in chest CT with organ-based tube current modulation: A phantom study. Physica Medica. 100. 153–163. 4 indexed citations
11.
Salli, Eero, et al.. (2021). Automatic detection of Crohn's disease using quantified motility in magnetic resonance enterography: initial experiences. Clinical Radiology. 77(2). 96–103. 8 indexed citations
12.
13.
Hukkinen, Katja, et al.. (2019). A phantom study comparing technical image quality of five breast tomosynthesis systems. Physica Medica. 63. 122–130. 10 indexed citations
14.
Mäkelä, Teemu, et al.. (2018). Automated daily quality control analysis for mammography in a multi-unit imaging center. Acta Radiologica. 60(2). 140–148. 8 indexed citations
15.
Mäkelä, Teemu, et al.. (2018). MRI quality assurance based on 3D FLAIR brain images. Magnetic Resonance Materials in Physics Biology and Medicine. 31(6). 689–699. 5 indexed citations
16.
Mäkelä, Teemu, et al.. (2017). Fetal radiation dose in three common CT examinations during pregnancy – Monte Carlo study. Physica Medica. 43. 199–206. 23 indexed citations
17.
Hippeläinen, Eero, et al.. (2017). Ejection fraction in myocardial perfusion imaging assessed with a dynamic phantom: comparison between IQ-SPECT and LEHR. EJNMMI Physics. 4(1). 20–20. 9 indexed citations
18.
Mäkelä, Teemu, Ville Haapamäki, Anni Suomalainen, et al.. (2016). CT of facial fracture fixation: an experimental study of artefact reducing methods. Dentomaxillofacial Radiology. 46(2). 20160261–20160261. 5 indexed citations
19.
Mäkelä, Teemu, Patrick Clarysse, Outi Sipilä, et al.. (2002). A review of cardiac image registration methods. IEEE Transactions on Medical Imaging. 21(9). 1011–1021. 247 indexed citations
20.
Smolander, Kari, et al.. (2001). Required and Optional Viewpoints -- What Is Included in Software Architecture?. 5 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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