World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Mathematics 36 2565 2286 42 38 160 18399

Genshiro Kitagawa publications per year

The chart shows the history of publications by Genshiro Kitagawa between 1976 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Genshiro Kitagawa published across 51 years, from 1976 to 2026, averaging 3.8 papers a year. Output peaked at 29 publications in 2010. 3 of the 196 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1976 to 2026. Vertical axis: number of publications, 0 to 29. Peak 29 publications in 2010. 1976: 2 publications 1977: 2 publications 1978: 2 publications 1979: 2 publications 1980: 0 publications 1981: 2 publications 1982: 2 publications 1983: 3 publications 1984: 5 publications 1985: 4 publications 1986: 0 publications 1987: 5 publications 1988: 3 publications 1989: 3 publications 1990: 0 publications 1991: 2 publications 1992: 0 publications 1993: 2 publications 1994: 5 publications 1995: 1 publication 1996: 16 publications 1997: 1 publication 1998: 7 publications 1999: 5 publications 2000: 10 publications 2001: 3 publications 2002: 6 publications 2003: 6 publications 2004: 3 publications 2005: 2 publications 2006: 1 publication 2007: 3 publications 2008: 9 publications 2009: 2 publications 2010: 29 publications 2011: 4 publications 2012: 5 publications 2013: 5 publications 2014: 3 publications 2015: 11 publications 2016: 1 publication 2017: 0 publications 2018: 1 publication 2019: 0 publications 2020: 7 publications 2021: 0 publications 2022: 4 publications 2023: 3 publications 2024: 1 publication 2025: 2 publications 2026: 1 publication
1976 2026

196 publications in total across all disciplines

View publications per year as a table
Genshiro Kitagawa: publications per year, 1976 to 2026
Year Publications
1976 2
1977 2
1978 2
1979 2
1980 0
1981 2
1982 2
1983 3
1984 5
1985 4
1986 0
1987 5
1988 3
1989 3
1990 0
1991 2
1992 0
1993 2
1994 5
1995 1
1996 16
1997 1
1998 7
1999 5
2000 10
2001 3
2002 6
2003 6
2004 3
2005 2
2006 1
2007 3
2008 9
2009 2
2010 29
2011 4
2012 5
2013 5
2014 3
2015 11
2016 1
2017 0
2018 1
2019 0
2020 7
2021 0
2022 4
2023 3
2024 1
2025 2
2026 1
Total 196
Download as CSV

Genshiro Kitagawa publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Genshiro Kitagawa sits on this spectrum.

No. of scientists
25 50 75 100
Bar chart with 100 bars. Horizontal axis: publications, 42–46 to 537+. Vertical axis: number of scientists, 0 to 112. Most scientists, 112, have 142–146 publications. The last bar groups every scientist with 537 publications or more. The highlighted bar, 157–161 publications, is where this scientist sits. 42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientist 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientist 522–526 publications: 3 scientists 527–531 publications: 1 scientist 532–536 publications: 4 scientists 537+ publications: 100 scientists
42–46 publications 537+

This scientist: 160 publications — 44th percentile

44% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

View publications distribution as a table
Number of Mathematics scientists by publication count, Research.com 2026 ranking edition. Based on 3,584 ranked scientists.
Publications Scientists This scientist
42–46 3
47–51 5
52–56 7
57–61 20
62–66 14
67–71 25
72–76 19
77–81 35
82–86 50
87–91 60
92–96 86
97–101 84
102–106 83
107–111 90
112–116 99
117–121 90
122–126 91
127–131 109
132–136 110
137–141 98
142–146 112
147–151 102
152–156 88
157–161 106 160
162–166 83
167–171 102
172–176 77
177–181 81
182–186 78
187–191 71
192–196 92
197–201 64
202–206 69
207–211 64
212–216 62
217–221 58
222–226 53
227–231 50
232–236 46
237–241 46
242–246 46
247–251 43
252–256 29
257–261 45
262–266 30
267–271 33
272–276 34
277–281 30
282–286 31
287–291 21
292–296 34
297–301 26
302–306 10
307–311 17
312–316 23
317–321 13
322–326 16
327–331 26
332–336 13
337–341 13
342–346 16
347–351 17
352–356 12
357–361 18
362–366 18
367–371 9
372–376 11
377–381 8
382–386 8
387–391 9
392–396 9
397–401 8
402–406 11
407–411 6
412–416 6
417–421 9
422–426 8
427–431 5
432–436 8
437–441 8
442–446 4
447–451 4
452–456 4
457–461 2
462–466 2
467–471 4
472–476 3
477–481 3
482–486 6
487–491 3
492–496 5
497–501 5
502–506 1
507–511 6
512–516 4
517–521 1
522–526 3
527–531 1
532–536 4
537+ 100
Download as CSV

Genshiro Kitagawa D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Genshiro Kitagawa sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 57 bars. Horizontal axis: D-Index, 30 to 86+. Vertical axis: number of scientists, 0 to 174. Most scientists, 174, have 30 D-Index. The last bar groups every scientist with 86 D-Index or more. The highlighted bar, 36 D-Index, is where this scientist sits. 30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 36 D-Index — 29th percentile

29% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

View D-Index distribution as a table
Number of Mathematics scientists by D-index, Research.com 2026 ranking edition. Based on 3,584 ranked scientists.
D-Index Scientists This scientist
30 174
31 151
32 174
33 117
34 136
35 127
36 145 36
37 153
38 150
39 150
40 138
41 136
42 93
43 108
44 115
45 112
46 103
47 75
48 59
49 67
50 60
51 57
52 59
53 62
54 60
55 50
56 42
57 54
58 50
59 42
60 41
61 35
62 40
63 21
64 31
65 27
66 29
67 19
68 25
69 17
70 18
71 12
72 14
73 13
74 18
75 9
76 11
77 10
78 9
79 16
80 12
81 10
82 5
83 5
84 13
85 6
86+ 99
Download as CSV

Research.com Recognitions

  • 2000 - Fellow of the American Statistical Association (ASA)

Overview

Genshiro Kitagawa is affiliated with the University of Tokyo in Japan. Their research spans across the fields of Computer Science and Economics, Econometrics and Finance, focusing on several subfields including Artificial Intelligence, Economics and Econometrics, Signal Processing, General Economics, Econometrics and Finance, and Management Science and Operations Research.

Their work covers a range of topics such as Complex Systems and Time Series Analysis, Time Series Analysis and Forecasting, Monetary Policy and Economic Impact, Market Dynamics and Volatility, Economic Theory and Policy, Stock Market Forecasting Methods, and Forecasting Techniques and Applications.

Kitagawa has contributed papers to various prominent publication venues. These include:

  • arXiv (Cornell University) with 8 publications
  • Journal of Business Cycle Research with 2 publications
  • Asian Journal of Management Science and Applications with 1 publication

Selected recent papers authored or co-authored by Kitagawa include:

  • "A Moving Linear Model Approach for Extracting Cyclical Variation from Time Series Data" (2023), published in the Journal of Business Cycle Research
  • "Co-movement of Cyclical Components Approach to Construct a Coincident Index of Business Cycles" (2022), published in the Journal of Business Cycle Research
  • "Hyper-trend method for seasonal adjustment and trend-cycle decomposition of time series containing long-period cycles" (2021), published in the Asian Journal of Management Science and Applications
  • "Pearson chi^2-divergence Approach to Gaussian Mixture Reduction and its Application to Gaussian-sum Filter and Smoother" (2020), published in arXiv (Cornell University)
  • "An implimentation of the Differential Filter for Computing Gradient and Hessian of the Log-likelihood of Nonstationary Time Series Models" (2022), published in arXiv (Cornell University)

Frequent co-authors include:

  • Koki Kyo
  • Hideo Noda
  • Yoko Tanokura
  • Seisho Sato

Throughout their career, Kitagawa has worked extensively on topics that integrate statistical and computational methods with economic data analysis, particularly focusing on time series models and forecasting techniques. The research contributions also explore the cyclical behavior of economic indicators and methods for improving seasonal adjustments and decomposition of time series data.

Recognition received by Kitagawa includes the designation as a Fellow of the American Statistical Association (ASA) awarded in 2000.

Best Publications

  • Monte Carlo Filter and Smoother for Non-Gaussian Nonlinear State Space Models

    Genshiro Kitagawa

  • Akaike Information Criterion Statistics

    Y. Sakamoto;G. Kitagawa

  • Akaike Information Criterion Statistics

    Dan Grove;Y. Sakamoto;M. Ishiguro;G. Kitagawa

  • Non-Gaussian State—Space Modeling of Nonstationary Time Series

    Genshiro Kitagawa

  • Information Criteria and Statistical Modeling

    Sadanori Konishi;Genshiro Kitagawa

  • Smoothness priors analysis of time series

    Genshiro Kitagawa;Will Gersch

  • Generalised information criteria in model selection

    Sadanori Konishi;Genshiro Kitagawa

  • A self-organizing state-space model

    Genshiro Kitagawa

  • A Smoothness Priors–State Space Modeling of Time Series with Trend and Seasonality

    Genshiro Kitagawa;Will Gersch

  • Selected papers of Hirotugu Akaike

    Emanuel Parzen;Kunio Tanabe;Genshiro Kitagawa

  • A smoothness priors time-varying AR coefficient modeling of nonstationary covariance time series

    G. Kitagawa;W. Gersch

  • A procedure for the modeling of non-stationary time series

    Genshiro Kitagawa;Hirotugu Akaike

  • Introduction to Time Series Modeling

    Genshiro Kitagawa

  • A NONSTATIONARY TIME SERIES MODEL AND ITS FITTING BY A RECURSIVE FILTER

    Genshiro Kitagawa

  • Theory and Methods

    Genshiro Kitagawa

  • Bootstrapping Log Likelihood and EIC, an Extension of AIC

    Makio Ishiguro;Yosiyuki Sakamoto;Genshiro Kitagawa

  • The two-filter formula for smoothing and an implementation of the Gaussian-sum smoother

    Genshiro Kitagawa

  • A new efficient procedure for the estimation of onset times of seismic waves.

    Tetsuo Takanami;Genshiro Kitagawa

  • The Prediction of Time Series With Trends and Seasonalities

    Will Gersch;Genshiro Kitagawa

  • ESTIMATION OF THE ARRIVAL TIMES OF SEISMIC WAVES BY MULTIVARIATE TIME SERIES MODEL

    Tetsuo Takanami;Genshiro Kitagawa

  • Non-Gaussian state-space modeling of nonstationary time series. Comment. Rejoinder

    G. Kitagawa;R. Kohn;C. F. Ansley;R. D. Martin

Frequent Co-Authors

Hirotugu Akaike
Hirotugu Akaike The Graduate University for Advanced Studies, SOKENDAI
Alan T. Linde
Alan T. Linde Carnegie Institution for Science
Dimitris A. Pados
Dimitris A. Pados Florida Atlantic University
Xiaohong Chen
Xiaohong Chen Central South University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students pursuing Mathematics in the USA, exploring related online degrees can enhance career opportunities and skill sets. Many professionals combine their analytical skills with business knowledge by enrolling in the shortest online MBA programs. These accelerated courses offer a practical path to leadership roles without a significant time commitment.

Finance is another complementary field where mathematical expertise is highly valued. Earning an online masters in finance can open doors to careers in investment analysis, risk management, and financial planning, combining quantitative skills with financial theory.

For those interested in entrepreneurship or higher business management, the 1 year dba program online offers an efficient way to gain a Doctorate in Business Administration, blending research expertise with practical business insights.

Moreover, marketing is a dynamic field that increasingly relies on data analytics. Pursuing marketing graduate programs online can equip math graduates with the tools to analyze market trends and consumer data, driving strategic decisions in business.

Best Scientists Citing Genshiro Kitagawa

Trending Scientists

Recently Published Articles