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Social Sciences and Humanities
Japan
2026

D-Index & Metrics

Social Sciences and Humanities

D-Index
45
Citations
43143
World Ranking
3703
National Ranking
9

Kaoru Tone publication distribution in Social Sciences and Humanities in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Social Sciences and Humanities in 2026. The highlighted bar marks where Kaoru Tone sits on this spectrum.

44–53 publications: 28 scientists 54–63 publications: 61 scientists 64–73 publications: 161 scientists 74–83 publications: 225 scientists 84–93 publications: 301 scientists 94–103 publications: 390 scientists 104–113 publications: 406 scientists 114–123 publications: 474 scientists 124–133 publications: 453 scientists 134–143 publications: 434 scientists 144–153 publications: 407 scientists 154–163 publications: 411 scientists 164–173 publications: 391 scientists 174–183 publications: 313 scientists 184–193 publications: 319 scientists 194–203 publications: 304 scientists 204–213 publications: 285 scientists 214–223 publications: 246 scientists 224–233 publications: 213 scientists 234–243 publications: 170 scientists 244–253 publications: 167 scientists 254–263 publications: 162 scientists 264–273 publications: 138 scientists 274–283 publications: 138 scientists 284–293 publications: 113 scientists 294–303 publications: 106 scientists 304–313 publications: 95 scientists 314–323 publications: 101 scientists 324–333 publications: 81 scientists 334–343 publications: 69 scientists 344–353 publications: 56 scientists 354–363 publications: 36 scientists 364–373 publications: 42 scientists 374–383 publications: 41 scientists 384–393 publications: 44 scientists 394–403 publications: 27 scientists 404–413 publications: 30 scientists 414–423 publications: 20 scientists 424–433 publications: 29 scientists 434–443 publications: 29 scientists 444–453 publications: 25 scientists 454–463 publications: 19 scientists 464–473 publications: 21 scientists 474–483 publications: 11 scientists 484–493 publications: 17 scientists 494–503 publications: 7 scientists 504–513 publications: 6 scientists 514–523 publications: 12 scientists 524–533 publications: 10 scientists 534–543 publications: 7 scientists 544–553 publications: 6 scientists 554–563 publications: 12 scientists 564–569 publications: 8 scientists 570+ publications: 100 scientists
44 publications 570+

This scientist: 158 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 570 publications or more.

Kaoru Tone D-index placement in Social Sciences and Humanities in 2026

The chart shows the D-index (discipline H-index) distribution of Social Sciences and Humanities scientists ranked by Research.com in 2026. The highlighted bar marks where Kaoru Tone sits on this spectrum.

30 D-Index: 177 scientists 31 D-Index: 210 scientists 32 D-Index: 222 scientists 33 D-Index: 188 scientists 34 D-Index: 181 scientists 35 D-Index: 243 scientists 36 D-Index: 261 scientists 37 D-Index: 272 scientists 38 D-Index: 278 scientists 39 D-Index: 300 scientists 40 D-Index: 297 scientists 41 D-Index: 308 scientists 42 D-Index: 313 scientists 43 D-Index: 300 scientists 44 D-Index: 269 scientists 45 D-Index: 260 scientists 46 D-Index: 228 scientists 47 D-Index: 251 scientists 48 D-Index: 203 scientists 49 D-Index: 186 scientists 50 D-Index: 187 scientists 51 D-Index: 166 scientists 52 D-Index: 138 scientists 53 D-Index: 141 scientists 54 D-Index: 131 scientists 55 D-Index: 137 scientists 56 D-Index: 109 scientists 57 D-Index: 129 scientists 58 D-Index: 95 scientists 59 D-Index: 105 scientists 60 D-Index: 106 scientists 61 D-Index: 86 scientists 62 D-Index: 94 scientists 63 D-Index: 77 scientists 64 D-Index: 79 scientists 65 D-Index: 59 scientists 66 D-Index: 68 scientists 67 D-Index: 51 scientists 68 D-Index: 49 scientists 69 D-Index: 40 scientists 70 D-Index: 43 scientists 71 D-Index: 40 scientists 72 D-Index: 50 scientists 73 D-Index: 46 scientists 74 D-Index: 43 scientists 75 D-Index: 45 scientists 76 D-Index: 45 scientists 77 D-Index: 30 scientists 78 D-Index: 25 scientists 79 D-Index: 31 scientists 80 D-Index: 29 scientists 81 D-Index: 18 scientists 82 D-Index: 21 scientists 83 D-Index: 26 scientists 84 D-Index: 15 scientists 85 D-Index: 15 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 12 scientists 89 D-Index: 7 scientists 90 D-Index: 19 scientists 91 D-Index: 20 scientists 92 D-Index: 13 scientists 93 D-Index: 9 scientists 94 D-Index: 13 scientists 95 D-Index: 8 scientists 96 D-Index: 7 scientists 97 D-Index: 6 scientists 98 D-Index: 6 scientists 99 D-Index: 6 scientists 100+ D-Index: 97 scientists
30 D-Index 100+

This scientist: 45 D-Index — 52nd percentile

52% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 100 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Social Sciences and Humanities in Japan Leader Award

Overview

Kaoru Tone is affiliated with the National Graduate Institute for Policy Studies in Japan. Their research primarily focuses on decision sciences, with a substantial emphasis on management science and operations research. The broader fields they contribute to include control and systems engineering, finance, accounting, and economics and econometrics.

The scientist's work centers on several key topics:

  • Efficiency Analysis Using DEA
  • Optimization and Mathematical Programming
  • Economic and Environmental Valuation
  • Risk and Portfolio Optimization
  • Capital Investment and Risk Analysis
  • Intellectual Capital and Performance Analysis
  • Corporate Finance and Governance

Kaoru Tone has contributed research articles to a range of academic journals. The most frequent publication venue is the European Journal of Operational Research, with three publications. Other venues include the Journal of Intellectual Capital, Financial Innovation, American Journal of Operations Management and Information Systems, and Asia Pacific Journal of Operational Research.

Notable recent papers authored or co-authored by Kaoru Tone include:

  • A modified slacks-based measure of efficiency in data envelopment analysis, 2020, European Journal of Operational Research

Other relevant papers within the same general domain but not authored by Tone are also part of the context, illustrating the active research area.

The frequent co-authors collaborating with Kaoru Tone include Mehdi Toloo, Mohammad Izadikhah, Qian Long Kweh, Wen-Min Lu, and Biresh K. Sahoo, each having partnered on multiple publications.

Kaoru Tone's research significantly involves data envelopment analysis (DEA), with work addressing efficiency measurement models, portfolio evaluation, and resource management efficiency. The research outputs cover diverse methodological advancements and applied explorations within operational research and finance.

Best Publications

  • Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software

    William W. Cooper;Lawrence M. Seiford;Kaoru Tone

  • Data Envelopment Analysis

    William W. Cooper;Lawrence M. Seiford;Kaoru Tone

  • A slacks-based measure of super-efficiency in data envelopment analysis

    Kaoru Tone

  • A Slacks Based Measure of Efficiency in Data Envelopment Analysis

    Kaoru Tone

  • Introduction to Data Envelopment Analysis and Its Uses: With DEA-Solver Software and References

    Lawrence M. Seiford;William W. Cooper;Kaoru Tone

  • Data Envelopment Analysis

    Kaoru Tone

  • Network DEA: A slacks-based measure approach

    Kaoru Tone;Miki Tsutsui

  • Dynamic DEA: A slacks-based measure approach

    Kaoru Tone;Miki Tsutsui

  • Data envelopment analysis: Prior to choosing a model

    Wade D. Cook;Kaoru Tone;Joe Zhu

  • Dynamic DEA with network structure: A slacks-based measure approach

    Kaoru Tone;Miki Tsutsui

  • An epsilon-based measure of efficiency in DEA – A third pole of technical efficiency

    Kaoru Tone;Miki Tsutsui

  • Dealing with Undesirable Outputs in DEA: A Slacks-based Measure (SBM) Approach

    Kaoru Tone

  • Sensitivity and Stability Analysis in DEA: Some Recent Developments

    W. W. Cooper;Shanling Li;L. M. Seiford;Kaoru Tone

  • A STRANGE CASE OF THE COST AND ALLOCATIVE EFFICIENCIES IN DEA

    Kaoru Tone

  • A comparative site evaluation study for relocating Japanese government agencies out of Tokyo

    Yoshiharu Takamura;Kaoru Tone

  • Some models and measures for evaluating performances with DEA: past accomplishments and future prospects

    W. W. Cooper;L. M. Seiford;K. Tone;J. Zhu

  • Measures of inefficiency in data envelopment analysis and stochastic frontier estimation

    W.W. Cooper;K. Tone

  • Evaluating cost efficiency and returns to scale in the Life Insurance Corporation of India using data envelopment analysis

    Kaoru Tone;Biresh K. Sahoo

  • Degree of scale economies and congestion: A unified DEA approach

    Kaoru Tone;Biresh K Sahoo;Biresh K Sahoo

  • Scale, Indivisibilities and Production Function in Data Envelopment Analysis

    Kaoru Tone;Biresh K. Sahoo

  • An epsilon-based measure of efficiency in DEA

    Kaoru Tone;Miki Tsutsui

Frequent Co-Authors

Joe Zhu
Joe Zhu Worcester Polytechnic Institute
William W. Cooper
William W. Cooper The University of Texas at Austin
Lawrence M. Seiford
Lawrence M. Seiford University of Michigan–Ann Arbor
Kristiaan Kerstens
Kristiaan Kerstens IESEG School of Management
William L. Weber
William L. Weber Southeast Missouri State University
Wen-Min Lu
Wen-Min Lu Chinese Culture University
Wade D. Cook
Wade D. Cook York University
Abraham Charnes
Abraham Charnes The University of Texas at Austin
Geraint Johnes
Geraint Johnes Lancaster University

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