Kunio Tanabe

2.2k total citations
40 papers, 1.6k citations indexed

About

Kunio Tanabe is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Signal Processing. According to data from OpenAlex, Kunio Tanabe has authored 40 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Theory and Mathematics, 11 papers in Numerical Analysis and 6 papers in Signal Processing. Recurrent topics in Kunio Tanabe's work include Matrix Theory and Algorithms (13 papers), Advanced Optimization Algorithms Research (10 papers) and Iterative Methods for Nonlinear Equations (6 papers). Kunio Tanabe is often cited by papers focused on Matrix Theory and Algorithms (13 papers), Advanced Optimization Algorithms Research (10 papers) and Iterative Methods for Nonlinear Equations (6 papers). Kunio Tanabe collaborates with scholars based in Japan, Norway and Czechia. Kunio Tanabe's co-authors include Yoshio Fukao, Yosihiko Ogata, Hiroshi Inoue, Masao Iri, Genshiro Kitagawa, Emanuel Parzen, Eric R. Ziegel, Hirotugu Akaike, Nobuo Shinozaki and Masaaki Sibuya and has published in prestigious journals such as Journal of Applied Physics, Technometrics and Analytical Biochemistry.

In The Last Decade

Kunio Tanabe

32 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kunio Tanabe Japan 16 328 328 245 202 120 40 1.6k
M. Zuhair Nashed United States 23 127 0.4× 813 2.5× 452 1.8× 305 1.5× 69 0.6× 104 2.2k
Jean‐David Benamou France 22 136 0.4× 377 1.1× 162 0.7× 600 3.0× 121 1.0× 50 2.4k
Joel Franklin United States 19 257 0.8× 464 1.4× 254 1.0× 215 1.1× 325 2.7× 70 2.8k
C. W. Groetsch United States 19 116 0.4× 570 1.7× 285 1.2× 406 2.0× 98 0.8× 73 2.6k
George Papanicolaou United States 39 234 0.7× 607 1.9× 233 1.0× 505 2.5× 95 0.8× 103 5.1k
Douglas P. Hardin United States 27 128 0.4× 277 0.8× 261 1.1× 322 1.6× 465 3.9× 99 3.3k
A. V. Goncharsky Russia 12 182 0.6× 181 0.6× 93 0.4× 235 1.2× 86 0.7× 29 1.9k
Stéphane Jaffard France 28 140 0.4× 265 0.8× 50 0.2× 228 1.1× 118 1.0× 105 2.6k
Wilfrid S. Kendall United Kingdom 22 233 0.7× 249 0.8× 51 0.2× 129 0.6× 472 3.9× 105 3.6k
Olof Runborg Sweden 16 122 0.4× 362 1.1× 163 0.7× 586 2.9× 54 0.5× 51 1.5k

Countries citing papers authored by Kunio Tanabe

Since Specialization
Citations

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

Fields of papers citing papers by Kunio Tanabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunio Tanabe

This figure shows the co-authorship network connecting the top 25 collaborators of Kunio Tanabe. A scholar is included among the top collaborators of Kunio Tanabe 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 Kunio Tanabe. Kunio Tanabe 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.
Yoshimura, Kentaro, Mridul Kanti Mandal, Michio Hara, et al.. (2013). Real-time diagnosis of chemically induced hepatocellular carcinoma using a novel mass spectrometry-based technique. Analytical Biochemistry. 441(1). 32–37. 38 indexed citations
2.
Yamagishi, Takashi, Kentaro Yoshimura, Mizuya Fukasawa, et al.. (2013). 608 PROBE ELECTROSPRAY IONIZATION-MASS SPECTROMETRY AND BAYESIAN STATISTICS: A POTENTIAL OF NOVEL CANCER DIAGNOSTICS SYSTEM IN RENAL CELL CARCINOMA. The Journal of Urology. 189(4S). 1 indexed citations
3.
4.
Matsui, Tomoko & Kunio Tanabe. (2006). Comparative Study of Speaker Identification Methods : dPLRM, SVM and GMM(Speaker Recognition, Statistical Modeling for Speech Processing). IEICE Transactions on Information and Systems. 89(3). 1066–1073. 1 indexed citations
5.
Oishi, Shin’ichi, Kunio Tanabe, Takeshi Ogita, & Siegfried M. Rump. (2006). Convergence of Rump's method for inverting arbitrarily ill-conditioned matrices. Journal of Computational and Applied Mathematics. 205(1). 533–544. 21 indexed citations
6.
Riera, Jorge, Pedro A. Valdés‐Sosa, Kunio Tanabe, & Ryuta Kawashima. (2006). A theoretical formulation of the electrophysiological inverse problem on the sphere. Physics in Medicine and Biology. 51(7). 1737–1758. 4 indexed citations
7.
Tanabe, Kunio. (2005). Additive-form Iterative Refinement of LU Factorization of an Ill-Conditioned Matrix. 40. 1 indexed citations
8.
Matsui, Tomoko & Kunio Tanabe. (2005). dPLRM-based speaker identification with log power spectrum. 2017–2020.
9.
Tanabe, Kunio. (2003). Penalized Logistic Regression Machines and Related Linear Numerical Algebra (The Numerical Solution of Differential Equations and Linear Computation). Kyoto University Research Information Repository (Kyoto University). 1320. 239–249. 2 indexed citations
10.
Parzen, Emanuel, et al.. (1999). Selected Papers of Hirotugu Akaike. Technometrics. 41(4). 383–383. 143 indexed citations
11.
Nakayama, Hideyuki, et al.. (1992). Raman Studies of Annealing Processes in Glassy Films Of P-Terphenyl. Molecular crystals and liquid crystals science technology. Section A, Molecular crystals and liquid crystals. 218(1). 183–188. 6 indexed citations
12.
Tanabe, Kunio, et al.. (1992). Symbolic Cholesky decomposition of the variance—covariance matrix of the negative multinomial distribution. Statistics & Probability Letters. 15(2). 103–108. 3 indexed citations
13.
Ishii, Kikujiro, et al.. (1992). Structural relaxations in amorphous biphenyl. Raman spectroscopic studies. Chemical Physics Letters. 198(1-2). 236–240. 18 indexed citations
14.
Tanabe, Kunio, et al.. (1992). An Exact Cholesky Decomposition and the Generalized Inverse of the Variance–Covariance Matrix of the Multinomial Distribution, with Applications. Journal of the Royal Statistical Society Series B (Statistical Methodology). 54(1). 211–219. 44 indexed citations
15.
Inoue, Hiroshi, Yoshio Fukao, Kunio Tanabe, & Yosihiko Ogata. (1990). Whole mantle P-wave travel time tomography. Physics of The Earth and Planetary Interiors. 59(4). 294–328. 278 indexed citations
16.
Tsuchiya, Takashi & Kunio Tanabe. (1990). Local Convergence Properties of New Methods in Linear Programming. Journal of the Operations Research Society of Japan. 33(1). 22–45. 10 indexed citations
17.
Iri, Masao, et al.. (1990). Mathematical Programming: Recent Developments and Applications.. Mathematics of Computation. 55(192). 875–875. 201 indexed citations
18.
Tanabe, Kunio. (1985). The conjugate gradient method for computing all the extremal stationary probability vectors of a stochastic matrix. Annals of the Institute of Statistical Mathematics. 37(1). 173–187. 8 indexed citations
19.
Tanabe, Kunio. (1975). Neumann-type expansion of reflexive generalized inverses of a matrix and the hyperpower iterative method. Linear Algebra and its Applications. 10(2). 163–175. 17 indexed citations
20.
Tanabe, Kunio. (1971). An Adaptive Acceleration of General Linear Iterative Processes for Solving Systems of Linear Equations (大型の数値計算に関する諸問題). Kyoto University Research Information Repository (Kyoto University).

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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