World's Best Scientists 2026 revealed!
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Social Sciences and Humanities
USA
2026

D-Index & Metrics

Social Sciences and Humanities

D-Index
86
Citations
40107
World Ranking
251
National Ranking
114

Engineering and Technology

D-Index
81
Citations
30899
World Ranking
485
National Ranking
165

Joe Zhu 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 Joe Zhu 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: 246 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Joe Zhu 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 Joe Zhu 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: 86 D-Index — 97th percentile

97% 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 United States Leader Award

Overview

Joe Zhu is affiliated with Worcester Polytechnic Institute in the United States. Their research primarily spans the fields of Decision Sciences and Economics, Econometrics and Finance, with significant contributions to subfields such as Management Science and Operations Research, Economics and Econometrics, Control and Systems Engineering, Management Information Systems, and Statistics, Probability and Uncertainty.

The scientist's main research topics include Efficiency Analysis Using DEA, Multi-Criteria Decision Making, Forecasting Techniques and Applications, Economic and Environmental Valuation, Advanced Statistical Process Monitoring, Fiscal Policy and Economic Growth, and Optimization and Mathematical Programming.

Joe Zhu's recent publications include the following papers:

  • DEA under big data: data enabled analytics and network data envelopment analysis, 2020, Annals of Operations Research
  • Big data algorithms and applications in intelligent transportation system: A review and bibliometric analysis, 2020, International Journal of Production Economics
  • Innovation performance evaluation for high-tech companies using a dynamic network data envelopment analysis approach, 2020, European Journal of Operational Research
  • Random Forests and the measurement of super-efficiency in the context of Free Disposal Hull, 2022, European Journal of Operational Research
  • Modelling Efficiency in Regional Innovation Systems: A Two-Stage Data Envelopment Analysis Problem with Shared Outputs within Groups of Decision-Making Units, 2020, European Journal of Operational Research

Frequent co-authors working with Joe Zhu include:

  • Dariush Khezrimotlagh
  • Yu Shi
  • Vincent Charles
  • Wade D. Cook
  • Anyu Yu

Joe Zhu's work has been published in several key academic journals, notably:

  • European Journal of Operational Research
  • Journal of the Operational Research Society
  • Annals of Operations Research
  • International Journal of Production Economics
  • Journal of Air Transport Management

In addition to journal articles, Joe Zhu has authored books published by Springer Science+Business Media, including "Data Science and Productivity Analytics" (2020) and "Data-Enabled Analytics" (2021).

Best Publications

  • Data Envelopment Analysis

    Joe Zhu

  • Handbook on data envelopment analysis

    William W. Cooper;Lawrence M. Seiford;Joe Zhu

  • Modeling undesirable factors in efficiency evaluation

    Lawrence M. Seiford;Joe Zhu

  • Data Envelopment Analysis: History, Models, and Interpretations

    William W. Cooper;Lawrence M. Seiford;Joe Zhu

  • Profitability and Marketability of the Top 55 U.S. Commercial Banks

    Lawrence M. Seiford;Joe Zhu

  • Data envelopment analysis: Prior to choosing a model

    Wade D. Cook;Kaoru Tone;Joe Zhu

  • Additive efficiency decomposition in two-stage DEA

    Yao Chen;Wade D. Cook;Ning Li;Ning Li;Joe Zhu

  • Quantitative models for performance evaluation and benchmarking : data envelopment analysis with spreadsheets and DEA Excel Solver

    Joe Zhu

  • Measuring Information Technology's Indirect Impact on Firm Performance

    Yao Chen;Joe Zhu

  • Multi-factor performance measure model with an application to Fortune 500 companies

    Joe Zhu

  • DEA Models for Two-Stage Processes: Game Approach and Efficiency Decomposition

    Liang Liang;Wade D. Cook;Joe Zhu

  • Quantitative Models for Performance Evaluation and Benchmarking

    Joe Zhu

  • DEA models for supply chain efficiency evaluation

    Liang Liang;Feng Yang;Wade D. Cook;Joe Zhu

  • Measuring performance of two-stage network structures by DEA: A review and future perspective

    Wade D. Cook;Liang Liang;Joe Zhu

  • INFEASIBILITY OF SUPER EFFICIENCY DATA ENVELOPMENT ANALYSIS MODELS

    Lawrence M. Seiford;Joe Zhu

  • Returns to scale in different DEA models

    Rajiv D. Banker;William W. Cooper;Lawrence M. Seiford;Robert M. Thrall

  • The DEA Game Cross-Efficiency Model and Its Nash Equilibrium

    Liang Liang;Jie Wu;Wade D. Cook;Joe Zhu

  • Network DEA: Additive efficiency decomposition

    Wade D. Cook;Joe Zhu;Gongbing Bi;Feng Yang

  • Imprecise data envelopment analysis (IDEA): A review and improvement with an application

    Joe Zhu

  • Data envelopment analysis vs. principal component analysis: An illustrative study of economic performance of Chinese cities

    Joe Zhu

Frequent Co-Authors

Wade D. Cook
Wade D. Cook York University
Lawrence M. Seiford
Lawrence M. Seiford University of Michigan–Ann Arbor
Liang Liang
Liang Liang Hefei University of Technology
William W. Cooper
William W. Cooper The University of Texas at Austin
Kaoru Tone
Kaoru Tone National Graduate Institute for Policy Studies
Jie Wu
Jie Wu University of Science and Technology of China
Zhimin Huang
Zhimin Huang Adelphi University
Chiang Kao
Chiang Kao National Cheng Kung University
James F. Burgess
James F. Burgess Boston University
Rajiv D. Banker
Rajiv D. Banker Temple University

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