Tomi Huttunen

1.1k total citations
47 papers, 778 citations indexed

About

Tomi Huttunen is a scholar working on Mechanics of Materials, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Tomi Huttunen has authored 47 papers receiving a total of 778 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Mechanics of Materials, 20 papers in Electrical and Electronic Engineering and 13 papers in Biomedical Engineering. Recurrent topics in Tomi Huttunen's work include Electromagnetic Simulation and Numerical Methods (16 papers), Numerical methods in engineering (16 papers) and Advanced Numerical Methods in Computational Mathematics (11 papers). Tomi Huttunen is often cited by papers focused on Electromagnetic Simulation and Numerical Methods (16 papers), Numerical methods in engineering (16 papers) and Advanced Numerical Methods in Computational Mathematics (11 papers). Tomi Huttunen collaborates with scholars based in Finland, United States and New Zealand. Tomi Huttunen's co-authors include Jari P. Kaipio, Peter Monk, Matti Malinen, Timo Lähivaara, R.J. Astley, Pablo Gamallo, Francis Collino, Kullervo Hynynen, Pablo Gamallo and Gwénaël Gabard and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and The Journal of the Acoustical Society of America.

In The Last Decade

Tomi Huttunen

43 papers receiving 741 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomi Huttunen Finland 17 441 353 285 278 114 47 778
W.T. Ang Singapore 19 774 1.8× 130 0.4× 186 0.7× 110 0.4× 101 0.9× 104 1.1k
Paul D. Ledger United Kingdom 15 168 0.4× 368 1.0× 142 0.5× 142 0.5× 141 1.2× 58 714
Mingwei Zhuang China 14 177 0.4× 241 0.7× 95 0.3× 95 0.3× 128 1.1× 59 667
Salvatore Ventre Italy 16 183 0.4× 313 0.9× 17 0.1× 158 0.6× 114 1.0× 83 719
Stefan A. Funken Germany 16 391 0.9× 307 0.9× 530 1.9× 63 0.2× 76 0.7× 34 839
Penny J. Davies United Kingdom 13 158 0.4× 239 0.7× 22 0.1× 136 0.5× 263 2.3× 28 515
Éric Bonnetier France 14 373 0.8× 112 0.3× 128 0.4× 181 0.7× 78 0.7× 35 825
Il-Han Park South Korea 20 182 0.4× 680 1.9× 92 0.3× 108 0.4× 173 1.5× 60 1.0k
Martina T. Bevacqua Italy 18 210 0.5× 205 0.6× 73 0.3× 631 2.3× 90 0.8× 86 813
В. П. Кузнецов Russia 9 198 0.4× 33 0.1× 75 0.3× 224 0.8× 34 0.3× 89 694

Countries citing papers authored by Tomi Huttunen

Since Specialization
Citations

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

Fields of papers citing papers by Tomi Huttunen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomi Huttunen

This figure shows the co-authorship network connecting the top 25 collaborators of Tomi Huttunen. A scholar is included among the top collaborators of Tomi Huttunen 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 Tomi Huttunen. Tomi Huttunen 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.
Huttunen, Tomi. (2018). “Mr. Grosswald Does Miracles”: On the history of the early success of Russian literature in Finland. SHILAP Revista de lepidopterología. 264–281.
2.
Huttunen, Tomi, et al.. (2017). End-To-End Process for HRTF Personalization. Journal of the Audio Engineering Society. 4 indexed citations
3.
Huttunen, Tomi, et al.. (2014). Bayesian approximation error approach in full-wave ultrasound tomography. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 61(10). 1627–1637. 13 indexed citations
4.
Kärkkäinen, Leo, et al.. (2013). Practical Procedure for Large Scale Personalized Head Related Transfer Function Acquisition. 1 indexed citations
5.
Huttunen, Tomi, et al.. (2013). The ultra weak variational formulation of thin clamped plate problems. Journal of Computational Physics. 260. 85–106. 5 indexed citations
6.
Huttunen, Tomi, et al.. (2013). Simulation of the head-related transfer functions using cloud computing. Proceedings of meetings on acoustics. 50168–50168.
7.
Huttunen, Tomi. (2012). On the semiotic description of autogenesis in culture. SHILAP Revista de lepidopterología. 40(3/4). 473–483. 1 indexed citations
8.
Huttunen, Tomi. (2011). New strategies for full-wave simulations of large acoustic models. The Journal of the Acoustical Society of America. 130(4_Supplement). 2331–2331. 1 indexed citations
9.
Huttunen, Tomi, Pablo Gamallo, & R.J. Astley. (2008). Comparison of two wave element methods for the Helmholtz problem. Communications in Numerical Methods in Engineering. 25(1). 35–52. 65 indexed citations
10.
Huttunen, Tomi, et al.. (2007). Some Effects of the Torso on Head-Related Transfer Functions. Journal of the Audio Engineering Society. 4 indexed citations
11.
Huttunen, Tomi, et al.. (2007). SIMULATION OF THE TRANSFER FUNCTION FOR A HEAD-AND-TORSO MODEL OVER THE ENTIRE AUDIBLE FREQUENCY RANGE. Journal of Computational Acoustics. 15(4). 429–448. 14 indexed citations
12.
Huttunen, Tomi, Jari P. Kaipio, & Peter Monk. (2007). An ultra-weak method for acoustic fluid–solid interaction. Journal of Computational and Applied Mathematics. 213(1). 166–185. 30 indexed citations
13.
Huttunen, Janne M. J., Tomi Huttunen, Matti Malinen, & Jari P. Kaipio. (2006). Determination of heterogeneous thermal parameters using ultrasound induced heating and MR thermal mapping. Physics in Medicine and Biology. 51(4). 1011–1032. 24 indexed citations
14.
Huttunen, Tomi, Matti Malinen, Jari P. Kaipio, P. Jason White, & K. Hynynen. (2005). A full-wave Helmholtz model for continuous-wave ultrasound transmission. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 52(3). 397–409. 24 indexed citations
15.
Malinen, Matti, Stephen Duncan, Tomi Huttunen, & Jari P. Kaipio. (2005). Feedforward and feedback control of ultrasound surgery. Applied Numerical Mathematics. 56(1). 55–79. 9 indexed citations
16.
Malinen, Matti, Tomi Huttunen, Kullervo Hynynen, & Jari P. Kaipio. (2004). Simulation study for thermal dose optimization in ultrasound surgery of the breast. Medical Physics. 31(5). 1296–1307. 17 indexed citations
17.
Huttunen, Tomi, Jari P. Kaipio, & K. Hynynen. (2003). Modeling of anomalies due to hydrophones in continuous-wave ultrasound fields. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 50(11). 1486–1500. 14 indexed citations
18.
Malinen, Matti, Tomi Huttunen, & Jari P. Kaipio. (2003). An optimal control approach for ultrasound induced heating. International Journal of Control. 76(13). 1323–1336. 11 indexed citations
19.
Malinen, Matti, Tomi Huttunen, & Jari P. Kaipio. (2003). Thermal dose optimization method for ultrasound surgery. Physics in Medicine and Biology. 48(6). 745–762. 16 indexed citations
20.
Huttunen, Tomi, Peter Monk, & Jari P. Kaipio. (2002). Computational Aspects of the Ultra-Weak Variational Formulation. Journal of Computational Physics. 182(1). 27–46. 106 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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