Tanja Tarvainen

2.5k total citations
82 papers, 1.8k citations indexed

About

Tanja Tarvainen is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Mechanics of Materials. According to data from OpenAlex, Tanja Tarvainen has authored 82 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Biomedical Engineering, 66 papers in Radiology, Nuclear Medicine and Imaging and 39 papers in Mechanics of Materials. Recurrent topics in Tanja Tarvainen's work include Photoacoustic and Ultrasonic Imaging (69 papers), Optical Imaging and Spectroscopy Techniques (64 papers) and Thermography and Photoacoustic Techniques (33 papers). Tanja Tarvainen is often cited by papers focused on Photoacoustic and Ultrasonic Imaging (69 papers), Optical Imaging and Spectroscopy Techniques (64 papers) and Thermography and Photoacoustic Techniques (33 papers). Tanja Tarvainen collaborates with scholars based in Finland, United Kingdom and New Zealand. Tanja Tarvainen's co-authors include Simon Arridge, Jari P. Kaipio, Ville Kolehmainen, Marko Vauhkonen, Aki Pulkkinen, Ben Cox, Martin Schweiger, Erkki Somersalo, Aleksi A. Leino and Ilkka Nissilä and has published in prestigious journals such as Journal of Computational Physics, ACS Applied Materials & Interfaces and The Journal of the Acoustical Society of America.

In The Last Decade

Tanja Tarvainen

80 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tanja Tarvainen Finland 23 1.2k 1.1k 551 154 130 82 1.8k
Peter R. Johnston Australia 22 458 0.4× 273 0.2× 574 1.0× 525 3.4× 376 2.9× 120 2.5k
Andreas Hauptmann United Kingdom 16 608 0.5× 519 0.5× 386 0.7× 403 2.6× 68 0.5× 48 1.3k
Prabhat Munshi India 16 556 0.5× 413 0.4× 145 0.3× 151 1.0× 159 1.2× 157 1.2k
Oliver Dorn Spain 21 867 0.7× 396 0.4× 298 0.5× 412 2.7× 127 1.0× 62 1.6k
Yuan Xu Canada 17 1.5k 1.3× 848 0.8× 1.1k 2.1× 436 2.8× 61 0.5× 55 1.9k
Kunal Mitra United States 23 734 0.6× 693 0.6× 800 1.5× 76 0.5× 677 5.2× 90 2.1k
Aki Pulkkinen Finland 16 610 0.5× 532 0.5× 277 0.5× 30 0.2× 26 0.2× 47 749
H. McCann United Kingdom 25 612 0.5× 114 0.1× 571 1.0× 1.2k 7.9× 333 2.6× 118 2.1k
R. M. Vasu India 14 434 0.4× 376 0.3× 101 0.2× 64 0.4× 31 0.2× 99 657
Benjamin Kehlet Norway 5 212 0.2× 81 0.1× 293 0.5× 123 0.8× 427 3.3× 9 1.5k

Countries citing papers authored by Tanja Tarvainen

Since Specialization
Citations

This map shows the geographic impact of Tanja Tarvainen'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 Tanja Tarvainen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanja Tarvainen more than expected).

Fields of papers citing papers by Tanja Tarvainen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tanja Tarvainen. 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 Tanja Tarvainen. The network helps show where Tanja Tarvainen may publish in the future.

Co-authorship network of co-authors of Tanja Tarvainen

This figure shows the co-authorship network connecting the top 25 collaborators of Tanja Tarvainen. A scholar is included among the top collaborators of Tanja Tarvainen 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 Tanja Tarvainen. Tanja Tarvainen 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.
2.
Pulkkinen, Aki, et al.. (2024). Stochastic Gauss-Newton method for estimating absorption and scattering in optical tomography with the Monte Carlo method for light transport. Biomedical Optics Express. 15(8). 4925–4925. 1 indexed citations
3.
Xu, Wujun, et al.. (2023). Assembly of fluorophore J-aggregates with nanospacer onto mesoporous nanoparticles for enhanced photoacoustic imaging. Photoacoustics. 33. 100552–100552. 4 indexed citations
4.
Leskinen, Jarkko, et al.. (2022). Utilising nanosecond sources in diffuse optical tomography. Measurement Science and Technology. 34(2). 25901–25901. 3 indexed citations
5.
Leskinen, Jarkko, et al.. (2022). Nonlinear estimation of pressure projection of ultrasound fields in background-oriented schlieren imaging. Journal of the Optical Society of America A. 39(4). 552–552. 2 indexed citations
6.
Lunz, Sebastian, Andreas Hauptmann, Tanja Tarvainen, Carola‐Bibiane Schönlieb, & Simon Arridge. (2021). On learned operator correction in inverse problems. University of Oulu Repository (University of Oulu). 24 indexed citations
7.
Hauptmann, Andreas, et al.. (2021). A model-based iterative learning approach for diffuse optical tomography. University of Oulu Repository (University of Oulu). 22 indexed citations
8.
Pulkkinen, Aki, et al.. (2021). Computationally Efficient Forward Operator for Photoacoustic Tomography Based on Coordinate Transformations. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 68(6). 2172–2182. 2 indexed citations
9.
Pulkkinen, Aki, et al.. (2020). Modeling of Errors Due to Uncertainties in Ultrasound Sensor Locations in Photoacoustic Tomography. IEEE Transactions on Medical Imaging. 39(6). 2140–2150. 15 indexed citations
10.
Leino, Aleksi A., Aki Pulkkinen, & Tanja Tarvainen. (2019). ValoMC: a Monte Carlo software and MATLAB toolbox for simulating light transport in biological tissue. OSA Continuum. 2(3). 957–957. 59 indexed citations
11.
Leskinen, Jarkko, et al.. (2019). Acoustic pressure field estimation methods for synthetic schlieren tomography. The Journal of the Acoustical Society of America. 145(4). 2470–2479. 13 indexed citations
12.
Pulkkinen, Aki, Felix Lucka, Ben Cox, et al.. (2018). Three dimensional photoacoustic tomography in Bayesian framework. The Journal of the Acoustical Society of America. 144(4). 2061–2071. 18 indexed citations
13.
Raumonen, Pasi & Tanja Tarvainen. (2018). Segmentation of vessel structures from photoacoustic images with reliability assessment. Biomedical Optics Express. 9(7). 2887–2887. 18 indexed citations
14.
Toivanen, J., Tanja Tarvainen, Janne M. J. Huttunen, et al.. (2017). Thermal tomography utilizing truncated Fourier series approximation of the heat diffusion equation. International Journal of Heat and Mass Transfer. 108. 860–867. 13 indexed citations
15.
Tamminen, Johanna, Tanja Tarvainen, & Samuli Siltanen. (2016). The D-Bar Method for Diffuse Optical Tomography: A Computational Study. Experimental Mathematics. 26(2). 225–240. 3 indexed citations
16.
Tarvainen, Tanja, et al.. (2015). Nonlinear approach to difference imaging in diffuse optical tomography. Journal of Biomedical Optics. 20(10). 105001–105001. 10 indexed citations
17.
Tarvainen, Tanja, et al.. (2013). A gradient-based method for quantitative photoacoustic tomography using the radiative transfer equation. Inverse Problems. 29(7). 75006–75006. 92 indexed citations
18.
Kolehmainen, Ville, Martin Schweiger, Ilkka Nissilä, et al.. (2009). Approximation errors and model reduction in three-dimensional diffuse optical tomography. Journal of the Optical Society of America A. 26(10). 2257–2257. 42 indexed citations
19.
Tarvainen, Tanja, Marko Vauhkonen, Ville Kolehmainen, Simon Arridge, & Jari P. Kaipio. (2005). Coupled radiative transfer equation and diffusion approximation model for photon migration in turbid medium with low-scattering and non-scattering regions. Physics in Medicine and Biology. 50(20). 4913–4930. 81 indexed citations
20.
Tarvainen, Tanja, Marko Vauhkonen, Ville Kolehmainen, & Jari P. Kaipio. (2005). Hybrid radiative-transfer–diffusion model for optical tomography. Applied Optics. 44(6). 876–876. 73 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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