Tanja Tarvainen

80 papers receiving 1.7k citations

Peers

Tanja Tarvainen
Comparison fields: 5 of 109
  • Biomedical Engineering 1.2k
  • Radiology, Nuclear Medicine and Imaging 1.1k
  • Mechanics of Materials 551
  • Electrical and Electronic Engineering 154
  • Computational Mechanics 130
Replace Yuan Xu with:
Yuan Xu Canada
Peter R. Johnston Australia
Kunal Mitra United States
Oliver Dorn Spain
Paul M. Meaney United States
R. M. Vasu India
Aki Pulkkinen Finland
Andreas Hauptmann United Kingdom
Lorenzo Crocco Italy
Prabhat Munshi India
Tanja Tarvainen relative to Yuan Xu Canada Yuan Xu's profile →
Citations per field
00.5×1.5×2.1×
Yuan Xu · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 1
3 4
4 3
5
On learned operator correction in inverse problems
24
6
A model-based iterative learning approach for diffuse optical tomography
22
7 2
8 15
9 19
10 18
11 10
12 10
13 16
14 13
15 92
16 16
17 42
18 12
19 81
20 73

About Tanja Tarvainen

Tanja Tarvainen is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Mechanics of Materials, having authored 82 papers that have together received 1.8k indexed citations. Recurring topics across this work include Photoacoustic and Ultrasonic Imaging (69 papers), Optical Imaging and Spectroscopy Techniques (64 papers) and Thermography and Photoacoustic Techniques (33 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Biomedical Engineering (1.2k citations) and Mechanics of Materials (551 citations). Tanja Tarvainen has collaborated with scholars based in Finland, United Kingdom and New Zealand. Frequent 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. Their work appears in journals such as Journal of Computational Physics, ACS Applied Materials & Interfaces and The Journal of the Acoustical Society of America.

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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