World's Best Scientists 2026 revealed!

D-Index & Metrics

Economics and Finance

D-Index
71
Citations
13114
World Ranking
448
National Ranking
301

Toshiyuki Sueyoshi publication distribution in Economics and Finance in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Economics and Finance in 2026. The highlighted bar marks where Toshiyuki Sueyoshi sits on this spectrum.

42–46 publications: 1 scientists 47–51 publications: 12 scientists 52–56 publications: 7 scientists 57–61 publications: 23 scientists 62–66 publications: 32 scientists 67–71 publications: 36 scientists 72–76 publications: 56 scientists 77–81 publications: 57 scientists 82–86 publications: 70 scientists 87–91 publications: 86 scientists 92–96 publications: 72 scientists 97–101 publications: 106 scientists 102–106 publications: 97 scientists 107–111 publications: 96 scientists 112–116 publications: 101 scientists 117–121 publications: 103 scientists 122–126 publications: 102 scientists 127–131 publications: 108 scientists 132–136 publications: 107 scientists 137–141 publications: 111 scientists 142–146 publications: 94 scientists 147–151 publications: 96 scientists 152–156 publications: 100 scientists 157–161 publications: 74 scientists 162–166 publications: 68 scientists 167–171 publications: 91 scientists 172–176 publications: 76 scientists 177–181 publications: 75 scientists 182–186 publications: 61 scientists 187–191 publications: 66 scientists 192–196 publications: 68 scientists 197–201 publications: 71 scientists 202–206 publications: 60 scientists 207–211 publications: 56 scientists 212–216 publications: 44 scientists 217–221 publications: 51 scientists 222–226 publications: 65 scientists 227–231 publications: 48 scientists 232–236 publications: 59 scientists 237–241 publications: 37 scientists 242–246 publications: 37 scientists 247–251 publications: 41 scientists 252–256 publications: 43 scientists 257–261 publications: 33 scientists 262–266 publications: 34 scientists 267–271 publications: 39 scientists 272–276 publications: 25 scientists 277–281 publications: 29 scientists 282–286 publications: 29 scientists 287–291 publications: 26 scientists 292–296 publications: 31 scientists 297–301 publications: 31 scientists 302–306 publications: 24 scientists 307–311 publications: 28 scientists 312–316 publications: 24 scientists 317–321 publications: 13 scientists 322–326 publications: 14 scientists 327–331 publications: 25 scientists 332–336 publications: 18 scientists 337–341 publications: 16 scientists 342–346 publications: 18 scientists 347–351 publications: 15 scientists 352–356 publications: 17 scientists 357–361 publications: 19 scientists 362–366 publications: 16 scientists 367–371 publications: 17 scientists 372–376 publications: 7 scientists 377–381 publications: 18 scientists 382–386 publications: 13 scientists 387–391 publications: 19 scientists 392–396 publications: 9 scientists 397–401 publications: 10 scientists 402–406 publications: 13 scientists 407–411 publications: 13 scientists 412–416 publications: 5 scientists 417–421 publications: 10 scientists 422–426 publications: 6 scientists 427–431 publications: 12 scientists 432–436 publications: 9 scientists 437–441 publications: 9 scientists 442–446 publications: 10 scientists 447–451 publications: 12 scientists 452–456 publications: 8 scientists 457–461 publications: 4 scientists 462–466 publications: 7 scientists 467–471 publications: 4 scientists 472–476 publications: 5 scientists 477–481 publications: 6 scientists 482–486 publications: 7 scientists 487–491 publications: 8 scientists 492–496 publications: 5 scientists 497–501 publications: 4 scientists 502–506 publications: 4 scientists 507–511 publications: 5 scientists 512–516 publications: 7 scientists 517–520 publications: 7 scientists 521+ publications: 99 scientists
42 publications 521+

This scientist: 182 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 521 publications or more.

Toshiyuki Sueyoshi D-index placement in Economics and Finance in 2026

The chart shows the D-index (discipline H-index) distribution of Economics and Finance scientists ranked by Research.com in 2026. The highlighted bar marks where Toshiyuki Sueyoshi sits on this spectrum.

30 D-Index: 126 scientists 31 D-Index: 147 scientists 32 D-Index: 157 scientists 33 D-Index: 178 scientists 34 D-Index: 171 scientists 35 D-Index: 141 scientists 36 D-Index: 132 scientists 37 D-Index: 129 scientists 38 D-Index: 130 scientists 39 D-Index: 120 scientists 40 D-Index: 117 scientists 41 D-Index: 113 scientists 42 D-Index: 114 scientists 43 D-Index: 97 scientists 44 D-Index: 115 scientists 45 D-Index: 86 scientists 46 D-Index: 78 scientists 47 D-Index: 83 scientists 48 D-Index: 62 scientists 49 D-Index: 74 scientists 50 D-Index: 50 scientists 51 D-Index: 66 scientists 52 D-Index: 69 scientists 53 D-Index: 55 scientists 54 D-Index: 67 scientists 55 D-Index: 61 scientists 56 D-Index: 62 scientists 57 D-Index: 45 scientists 58 D-Index: 34 scientists 59 D-Index: 47 scientists 60 D-Index: 46 scientists 61 D-Index: 36 scientists 62 D-Index: 37 scientists 63 D-Index: 56 scientists 64 D-Index: 50 scientists 65 D-Index: 32 scientists 66 D-Index: 28 scientists 67 D-Index: 30 scientists 68 D-Index: 24 scientists 69 D-Index: 25 scientists 70 D-Index: 22 scientists 71 D-Index: 21 scientists 72 D-Index: 26 scientists 73 D-Index: 24 scientists 74 D-Index: 23 scientists 75 D-Index: 12 scientists 76 D-Index: 14 scientists 77 D-Index: 15 scientists 78 D-Index: 15 scientists 79 D-Index: 17 scientists 80 D-Index: 17 scientists 81 D-Index: 11 scientists 82 D-Index: 10 scientists 83 D-Index: 16 scientists 84 D-Index: 11 scientists 85 D-Index: 5 scientists 86 D-Index: 9 scientists 87 D-Index: 13 scientists 88 D-Index: 9 scientists 89 D-Index: 7 scientists 90 D-Index: 6 scientists 91 D-Index: 4 scientists 92 D-Index: 8 scientists 93 D-Index: 10 scientists 94 D-Index: 11 scientists 95 D-Index: 6 scientists 96 D-Index: 4 scientists 97 D-Index: 4 scientists 98 D-Index: 6 scientists 99 D-Index: 6 scientists 100 D-Index: 8 scientists 101+ D-Index: 100 scientists
30 D-Index 101+

This scientist: 71 D-Index — 89th percentile

89% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 101 D-Index or more.

Overview

Toshiyuki Sueyoshi is affiliated with the New Mexico Institute of Mining and Technology in the United States. Their research primarily lies within the field of Economics, Econometrics, and Finance, with 36 publications, emphasizing subfields such as Economics and Econometrics, Management Science and Operations Research, Environmental Engineering, Renewable Energy, Sustainability and the Environment, and Electrical and Electronic Engineering.

The scientist's work covers several main topics, including:

  • Energy, Environment, Economic Growth
  • Efficiency Analysis Using DEA (Data Envelopment Analysis)
  • Environmental Impact and Sustainability
  • Electrocatalysts for Energy Conversion
  • Advanced Photocatalysis Techniques
  • Fiscal Policy and Economic Growth
  • Electric Power System Optimization

Toshiyuki Sueyoshi has published in multiple journals, with frequent publications appearing in:

  • Energy
  • Journal of Cleaner Production
  • Environment Development and Sustainability
  • SSRN Electronic Journal
  • Environmental Science and Pollution Research

Representative recent papers include:

  • "Measuring efficiency and technology inequality of China's electricity generation and transmission system: A new approach of network Data Envelopment Analysis prospect cross-efficiency models," 2022, Energy
  • "A new approach for evaluating technology inequality and diffusion barriers: The concept of efficiency Gini coefficient and its application in Chinese provinces," 2021, Energy
  • "Facile carbon cloth activation strategy to boost oxygen reduction reaction performance for flexible zinc-air battery application," 2022, Carbon Energy
  • "Evaluating the performance of Chinese fossil fuel power plants by data environment analysis: An application of three intermediate approaches in a time horizon," 2020, Journal of Cleaner Production
  • "Phytoplankton distribution characteristics and its relationship with bacterioplankton in Dianchi Lake," 2020, Environmental Science and Pollution Research

Frequent co-authors include:

  • Ruchuan Zhang
  • Toshiyuki Sueyoshi (self-collaboration)
  • Jingjing Qu
  • Shanshan Chen

Their research contribution spans assessment frameworks and empirical examinations of energy systems, technology diffusion, and environmental impacts using quantitative methods such as Data Envelopment Analysis. Their interdisciplinary approach addresses multiple challenges within energy efficiency, economic growth, and sustainability.

Best Publications

  • ESG: Research Progress and Future Prospects

    Ting-Ting Li;Kai Wang;Toshiyuki Sueyoshi;Derek D. Wang

  • A literature study for DEA applied to energy and environment

    Toshiyuki Sueyoshi;Yan Yuan;Mika Goto

  • DEA approach for unified efficiency measurement: Assessment of Japanese fossil fuel power generation

    Toshiyuki Sueyoshi;Mika Goto

  • Performance analysis of US coal-fired power plants by measuring three DEA efficiencies

    Toshiyuki Sueyoshi;Toshiyuki Sueyoshi;Mika Goto;Takahiro Ueno

  • A goal programming/constrained regression review of the Bell system breakup

    A. Charnes;W. W. Cooper;T. Sueyoshi

  • Data envelopment analysis for environmental assessment: Comparison between public and private ownership in petroleum industry

    Toshiyuki Sueyoshi;Mika Goto

  • DEA as a tool for bankruptcy assessment: A comparative study with logistic regression technique

    I.M. Premachandra;Gurmeet Singh Bhabra;Toshiyuki Sueyoshi;Toshiyuki Sueyoshi

  • Evaluating Water Supply Services in Japan with RAM: a Range-adjusted Measure of Inefficiency

    Kazuo Aida;William W. Cooper;Jésus T. Pastor;Toshiyuki Sueyoshi

  • Weak and strong disposability vs. natural and managerial disposability in DEA environmental assessment: Comparison between Japanese electric power industry and manufacturing industries

    Toshiyuki Sueyoshi;Mika Goto

  • Returns to scale in dynamic DEA

    Toshiyuki Sueyoshi;Kazuyuki Sekitani

  • A use of a nonparametric statistic for DEA frontier shift: the Kruskal and Wallis rank test

    Toshiyuki Sueyoshi;Shingo Aoki

  • Efficiency-based rank assessment for electric power industry: A combined use of Data Envelopment Analysis (DEA) and DEA-Discriminant Analysis (DA)

    Toshiyuki Sueyoshi;Mika Goto

  • Should the US clean air act include CO2 emission control?: Examination by data envelopment analysis

    Toshiyuki Sueyoshi;Toshiyuki Sueyoshi;Mika Goto

  • Measurement of Returns to Scale and Damages to Scale for DEA-based operational and environmental assessment: How to manage desirable (good) and undesirable (bad) outputs?

    Toshiyuki Sueyoshi;Mika Goto

  • Photovoltaic power stations in Germany and the United States: A comparative study by data envelopment analysis

    Toshiyuki Sueyoshi;Mika Goto

  • China's regional sustainability and diversified resource allocation: DEA environmental assessment on economic development and air pollution

    Unknown

  • An occurrence of multiple projections in DEA-based measurement of technical efficiency: Theoretical comparison among DEA models from desirable properties

    Toshiyuki Sueyoshi;Toshiyuki Sueyoshi;Kazuyuki Sekitani

  • MODELS AND MEASURES FOR EFFICIENCY DOMINANCE IN DEA Part I: Additive Models and MED Measures *

    I. Bardhan;W.F. Bowlin;W.W. Cooper;Toshiyuki Sueyoshi

  • Can environmental investment and expenditure enhance financial performance of US electric utility firms under the clean air act amendment of 1990

    Toshiyuki Sueyoshi;Toshiyuki Sueyoshi;Mika Goto

  • DEA non-parametric ranking test and index measurement: slack-adjusted DEA and an application to Japanese agriculture cooperatives

    Toshiyuki Sueyoshi

  • DEA-discriminant analysis in the view of goal programming

    Toshiyuki Sueyoshi

  • DEA environmental assessment in a time horizon: Malmquist index on fuel mix, electricity and CO2 of industrial nations

    Toshiyuki Sueyoshi;Mika Goto

  • DEA environmental assessment of coal fired power plants: Methodological comparison between radial and non-radial models

    Toshiyuki Sueyoshi;Mika Goto

  • Measuring efficiencies and returns to scale of Nippon telegraph & telephone in production and cost analyses

    Toshiyuki Sueyoshi

Frequent Co-Authors

Mika Goto
Mika Goto Tokyo Institute of Technology
William W. Cooper
William W. Cooper The University of Texas at Austin
Jennifer Shang
Jennifer Shang University of Pittsburgh
Fred Glover
Fred Glover University of Colorado Boulder
Abraham Charnes
Abraham Charnes The University of Texas at Austin
Andrew B. Whinston
Andrew B. Whinston The University of Texas at Austin
Mayuram S. Krishnan
Mayuram S. Krishnan University of Michigan–Ann Arbor

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

Aspiring Economics and Finance students in the USA have a wide range of online degree options and career routes to consider. Many explore complementary fields to broaden their expertise and boost employability. For those interested in strategic communication in business or financial roles, an affordable online master's degree in communications can help develop the skills needed for high-level decision-making and stakeholder engagement.

Online programs offer practical pathways into project leadership as well. Earning a project manager degree online can open doors to careers in operations, consulting, or financial project management. Fast-track business education is another option, with the best one year mba programs enabling students to quickly gain advanced skills and pivot into leadership roles.

Lastly, if entrepreneurship is your goal, programs focused on business creation and innovation can be key. An mba in entrepreneurship provides expertise in launching startups or driving corporate innovation, making it an excellent complement to Economics and Finance studies.

Best Scientists Citing Toshiyuki Sueyoshi

Trending Scientists

Recently Published Articles