J. Toivanen

1.3k total citations
41 papers, 1.0k citations indexed

About

J. Toivanen is a scholar working on Nuclear and High Energy Physics, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, J. Toivanen has authored 41 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Nuclear and High Energy Physics, 15 papers in Atomic and Molecular Physics, and Optics and 8 papers in Electrical and Electronic Engineering. Recurrent topics in J. Toivanen's work include Nuclear physics research studies (23 papers), Particle physics theoretical and experimental studies (12 papers) and Advanced Chemical Physics Studies (10 papers). J. Toivanen is often cited by papers focused on Nuclear physics research studies (23 papers), Particle physics theoretical and experimental studies (12 papers) and Advanced Chemical Physics Studies (10 papers). J. Toivanen collaborates with scholars based in Finland, Sweden and Poland. J. Toivanen's co-authors include J. Suhonen, M. Kortelainen, J. Dobaczewski, B. G. Carlsson, O. Civitarese, K. Mizuyama, P. Veselý, Pekka Toivanen, Ville Kolehmainen and Alessandro Pastore and has published in prestigious journals such as Physical Review Letters, Physics Letters B and International Journal of Heat and Mass Transfer.

In The Last Decade

J. Toivanen

39 papers receiving 977 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. Toivanen Finland	18	884	229	109	74	60	41	1.0k
A. Kumar India	13	236 0.3×	293 1.3×	104 1.0×	113 1.5×	62 1.0×	62	551
M. Münch Germany	13	495 0.6×	141 0.6×	50 0.5×	140 1.9×	29 0.5×	47	710
E. R. Mapoles United States	12	260 0.3×	181 0.8×	32 0.3×	58 0.8×	99 1.6×	38	463
J. Gulyás Hungary	15	685 0.8×	209 0.9×	17 0.2×	226 3.1×	19 0.3×	61	801
C. Sumithrarachchi United States	14	467 0.5×	262 1.1×	105 1.0×	213 2.9×	14 0.2×	40	590
T.L. McAbee United States	8	455 0.5×	190 0.8×	53 0.5×	143 1.9×	14 0.2×	13	559
C.M. Castaneda United States	14	396 0.4×	182 0.8×	36 0.3×	266 3.6×	25 0.4×	38	569
W. Lorenzon United States	14	207 0.2×	213 0.9×	80 0.7×	61 0.8×	12 0.2×	41	420
J. Engler Germany	16	432 0.5×	102 0.4×	41 0.4×	205 2.8×	17 0.3×	42	610
J. G. Learned United States	14	638 0.7×	82 0.4×	17 0.2×	88 1.2×	34 0.6×	22	806

Countries citing papers authored by J. Toivanen

Since Specialization

Citations

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

Fields of papers citing papers by J. Toivanen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Toivanen

This figure shows the co-authorship network connecting the top 25 collaborators of J. Toivanen. A scholar is included among the top collaborators of J. Toivanen 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 J. Toivanen. J. Toivanen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Hamilton, Sarah Jane, et al.. (2025). Fast 3D Partial Boundary Data EIT Reconstructions using Direct Inversion CGO-based Methods. IEEE Transactions on Biomedical Engineering. PP. 1–12.

Toivanen, J., et al.. (2025). Biomechanical simulations of intracerebral hemorrhage expansion show tissue displacement has significant impact on electrical impedance tomography results. Brain Research Bulletin. 223. 111265–111265. 1 indexed citations

Toivanen, J., Tuomo Savolainen, Daniel Strbian, et al.. (2024). Simulation-based feasibility study of monitoring of intracerebral hemorrhages and detection of secondary hemorrhages using electrical impedance tomography. Journal of Medical Imaging. 11(1). 14502–14502. 4 indexed citations

Hamilton, Sarah Jane, David Isaacson, Ville Kolehmainen, et al.. (2022). Fast absolute 3D CGO-based electrical impedance tomography on experimental tank data. Physiological Measurement. 43(12). 124001–124001. 5 indexed citations

Toivanen, J., Chermelle Engel, Michael J. Reeder, et al.. (2018). Coupled Atmosphere‐Fire Simulations of the Black Saturday Kilmore East Wildfires With the Unified Model. Journal of Advances in Modeling Earth Systems. 11(1). 210–230. 18 indexed citations

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

Dobaczewski, J., et al.. (2014). Spectroscopic Properties of Nuclear Skyrme Energy Density Functionals. Physical Review Letters. 113(25). 252501–252501. 29 indexed citations

Carlsson, B. G., J. Toivanen, & Ulf von Barth. (2013). Fluctuating parts of nuclear ground-state correlation energies. Physical Review C. 87(5). 15 indexed citations

Gao, Yonghao, et al.. (2013). Propagation of uncertainties in the Skyrme energy-density-functional model. Physical Review C. 87(3). 38 indexed citations

10.

Veselý, P., J. Dobaczewski, N. Michel, et al.. (2011). FINITE-RANGE SEPARABLE PAIRING INTERACTION WITHIN NEW N[sup 3]LO DFT APPROACH. AIP conference proceedings. 456–458. 1 indexed citations

11.

Toivanen, Pekka, M. Kortelainen, J. Suhonen, & J. Toivanen. (2009). Large-scale shell-model calculations of elastic and inelastic scattering rates of lightest supersymmetric particles (LSP) onI127,Xe129,Xe131, andCs133nuclei. Physical Review C. 79(4). 38 indexed citations

12.

Toivanen, J., J. Dobaczewski, M. Kortelainen, & K. Mizuyama. (2008). Error analysis of nuclear mass fits. Physical Review C. 78(3). 33 indexed citations

13.

Kortelainen, M., J. Dobaczewski, K. Mizuyama, & J. Toivanen. (2008). Dependence of single-particle energies on coupling constants of the nuclear energy density functional. Physical Review C. 77(6). 45 indexed citations

14.

Toivanen, Pekka, M. Kortelainen, J. Suhonen, & J. Toivanen. (2008). Dark-matter detection by elastic and inelastic LSP scattering on 129Xe and 131Xe. Physics Letters B. 666(1). 1–4. 6 indexed citations

15.

Kortelainen, M., O. Civitarese, J. Suhonen, & J. Toivanen. (2007). Short-range correlations and neutrinoless double beta decay. Physics Letters B. 647(2-3). 128–132. 101 indexed citations

16.

Kortelainen, M., et al.. (2004). Microscopic calculation of the LSP detection rates for the 71Ga, 73Ge and 127I dark-matter detectors. Physics Letters B. 584(1-2). 31–39. 18 indexed citations

17.

Toivanen, J.. (2001). Supernova neutrino induced reactions on iron isotopes. Nuclear Physics A. 694(1-2). 395–408. 32 indexed citations

18.

Hektor, A., E. Kolbe, K. Langanke, & J. Toivanen. (2000). Neutrino-induced reaction rates forr-process nuclei. Physical Review C. 61(5). 27 indexed citations

19.

Izosimov, I. N., et al.. (1998). Structure of the (EC) decay strength function of Tb ( h). Journal of Physics G Nuclear and Particle Physics. 24(4). 831–845. 11 indexed citations

20.

Toivanen, J. & J. Suhonen. (1998). Microscopic quasiparticle-phonon description of odd-mass127−133Xeisotopes and their β decay. Physical Review C. 57(3). 1237–1245. 54 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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