Gen Nakamura

4.3k total citations
238 papers, 2.7k citations indexed

About

Gen Nakamura is a scholar working on Mathematical Physics, Applied Mathematics and Computational Theory and Mathematics. According to data from OpenAlex, Gen Nakamura has authored 238 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 148 papers in Mathematical Physics, 88 papers in Applied Mathematics and 65 papers in Computational Theory and Mathematics. Recurrent topics in Gen Nakamura's work include Numerical methods in inverse problems (103 papers), Advanced Mathematical Modeling in Engineering (63 papers) and Navier-Stokes equation solutions (54 papers). Gen Nakamura is often cited by papers focused on Numerical methods in inverse problems (103 papers), Advanced Mathematical Modeling in Engineering (63 papers) and Navier-Stokes equation solutions (54 papers). Gen Nakamura collaborates with scholars based in Japan, China and South Korea. Gen Nakamura's co-authors include Jishan Fan, Günther Uhlmann, Yong Zhou, Song Jiang, Fucai Li, Mourad Sini, Haibing Wang, Kazumi Tanuma, Jin Cheng and Yu Jiang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and Communications in Mathematical Physics.

In The Last Decade

Gen Nakamura

215 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gen Nakamura Japan 26 1.8k 1.0k 666 633 540 238 2.7k
Barbara Kaltenbacher Austria 24 1.7k 0.9× 444 0.4× 503 0.8× 617 1.0× 606 1.1× 132 2.6k
Michael V. Klibanov United States 28 2.6k 1.4× 424 0.4× 1.2k 1.8× 815 1.3× 1.2k 2.2× 161 3.3k
V. G. Romanov Russia 20 1.6k 0.9× 600 0.6× 782 1.2× 547 0.9× 426 0.8× 151 2.1k
William Rundell United States 27 2.0k 1.1× 678 0.6× 802 1.2× 731 1.2× 440 0.8× 96 2.7k
Matti Lassas Finland 34 1.7k 0.9× 435 0.4× 780 1.2× 632 1.0× 1.2k 2.2× 143 4.0k
Jin Cheng China 19 1.1k 0.6× 286 0.3× 389 0.6× 532 0.8× 371 0.7× 90 1.9k
Joyce R. McLaughlin United States 25 1.0k 0.6× 336 0.3× 553 0.8× 423 0.7× 601 1.1× 67 2.0k
Diego Pallara Italy 15 1.2k 0.6× 1.8k 1.7× 1.5k 2.3× 410 0.6× 181 0.3× 66 3.4k
Hyeonbae Kang South Korea 34 1.8k 1.0× 383 0.4× 1.2k 1.8× 1.6k 2.5× 1.2k 2.3× 151 3.6k
John Sylvester United States 23 2.0k 1.1× 263 0.3× 1.0k 1.5× 679 1.1× 924 1.7× 44 2.4k

Countries citing papers authored by Gen Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Gen Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gen Nakamura

This figure shows the co-authorship network connecting the top 25 collaborators of Gen Nakamura. A scholar is included among the top collaborators of Gen Nakamura 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 Gen Nakamura. Gen Nakamura 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.
Itou, Hiromichi, Victor A. Kovtunenko, & Gen Nakamura. (2025). Solution of viscoelastic creep models for anisotropic materials with linear relation between strain and stress but nonlinear with respect to time. SHILAP Revista de lepidopterología. 22. 100219–100219.
2.
Nakamura, Gen, et al.. (2023). Approximate peak time and its application to time-domain fluorescence diffuse optical tomography. 1(4). 379–406. 1 indexed citations
3.
Kobayashi, Daisuke, Gen Nakamura, Takeshi Okamoto, et al.. (2022). Acute heart failure due to left common iliac arteriovenous fistula: A case of VEXAS syndrome. Modern Rheumatology Case Reports. 7(1). 327–333. 10 indexed citations
4.
Gao, Hui, Jishan Fan, & Gen Nakamura. (2021). Weak-very weak uniqueness to the time-dependent Ginzburg–Landau model for superconductivity in R n . Results in Applied Mathematics. 12. 100183–100183.
5.
Jiang, Yu, et al.. (2021). Levenberg–Marquardt method for solving inverse problem of MRE based on the modified stationary Stokes system. Inverse Problems. 37(12). 125013–125013. 5 indexed citations
6.
Jiang, Yu, et al.. (2020). Local solvability of an inverse problem to the Navier–Stokes equation with memory term. Inverse Problems. 36(6). 65007–65007. 5 indexed citations
7.
Nakamura, Gen, et al.. (2020). Inverse initial boundary value problem for a non-linear hyperbolic partial differential equation. Inverse Problems. 37(1). 15012–15012. 2 indexed citations
8.
Nakamura, Gen, et al.. (2019). Strong unique continuation for two-dimensional anisotropic elliptic systems. Proceedings of the American Mathematical Society. 147(5). 2171–2183.
9.
Fan, Jishan, Gen Nakamura, & Yong Zhou. (2014). A blowup criterion for the 3D generalized MHD system with zero magnetic diffusivity. SHILAP Revista de lepidopterología. 1 indexed citations
10.
Fan, Jishan, et al.. (2012). Existence of smooth global solutions for a 1-D modified Navier-Stokes-Fourier model. SHILAP Revista de lepidopterología. 1 indexed citations
11.
Fan, Jishan, Fucai Li, & Gen Nakamura. (2012). Regularity criteria for a mathematical model for the deformation of electrolyte droplets. Applied Mathematics Letters. 26(4). 494–499. 3 indexed citations
12.
Fan, Jishan, et al.. (2011). A gradient estimate for solutions to parabolic equations with discontinuous coefficients. SHILAP Revista de lepidopterología. 6(2). 211–212. 7 indexed citations
13.
Fan, Jishan, Song Jiang, & Gen Nakamura. (2011). Stability of weak solutions to equations of magnetohydrodynamics with Lebesgue initial data. Journal of Differential Equations. 251(8). 2025–2036. 16 indexed citations
14.
Fan, Jishan, Song Jiang, & Gen Nakamura. (2010). Inverse problem of a time-dependent Gingzburg--Landau model for superconductivity with the final overdetermination. Osaka Journal of Mathematics. 47(1). 89–108. 1 indexed citations
15.
Jin, Cheng, Jijun Liu, & Gen Nakamura. (2005). Recovery of Boundaries and Types for Multiple Obstacles from the Far-field Pattern. Hokkaido University Collection of Scholarly and Academic Papers (Hokkaido University). 728. 1–27. 1 indexed citations
16.
Nakamura, Gen, et al.. (2004). RECONSTRUCTION OF SCATTERED FIELD FROM FAR-FIELD BY REGULARIZATION. 计算数学：英文版. 22(3). 389–402. 2 indexed citations
17.
Cheng, Jin, Gen Nakamura, & Erkki Somersalo. (2001). Uniqueness of identifying the convection term. Communications of the Korean Mathematical Society. 16(3). 405–413. 8 indexed citations
18.
Nakamura, Gen, et al.. (1999). Nonlinear Semigroups Analytic on Sectors. Mathematical Journal of Okayama University. 41(1). 137–147. 1 indexed citations
19.
Nakamura, Gen, et al.. (1987). Optimizing Control System for Grinding Process. 39(117). 93–107.
20.
Nakamura, Gen, et al.. (1960). Reflection of light and surface roughness on sanded surface of wood.. Journal of the Japan Wood Research Society. 6(6). 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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