World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
35
Citations
7405
World Ranking
8888
National Ranking
349

Cinzia Daraio publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Cinzia Daraio sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 156 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Cinzia Daraio D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Cinzia Daraio sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 35 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Cinzia Daraio is affiliated with Sapienza University of Rome in Italy. Their research primarily focuses on decision sciences, with a particular emphasis on management science and operations research, economics and econometrics, statistics, probability and uncertainty, strategy and management, and artificial intelligence.

The main topics of their work include:

  • Efficiency Analysis Using DEA
  • Scientometrics and Bibliometrics Research
  • Data Quality and Management
  • Innovation Policy and R&D
  • Municipal Solid Waste Management
  • Economic and Environmental Valuation
  • Big Data and Business Intelligence

Recent papers authored by or coauthored with Cinzia Daraio include:

  • "Strategies for developing sustainable communities in higher education institutions," 2023, Scientific Reports
  • "Driving EU sustainability: Promoting the circular economy through municipal waste efficiency," 2024, Sustainable Production and Consumption
  • "Quality as a latent heterogeneity factor in the efficiency of universities," 2021, Economic Modelling
  • "Exogenous crimes and the assessment of public safety efficiency and effectiveness," 2020, Annals of Operations Research
  • "A comparison of three multidisciplinarity indices based on the diversity of Scopus subject areas of authors' documents, their bibliography and their citing papers," 2020, Scientometrics

Frequent coauthors of Cinzia Daraio are:

  • Simone Di Leo
  • Renato Bruni
  • Thyago Celso Cavalcante Nepomuceno
  • Giancarlo Ruocco
  • Léopold Simar

Publications by Cinzia Daraio are frequently found in the following venues:

  • Scientometrics
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of Data and Information Science
  • International Transactions in Operational Research
  • Scientific Reports

The scope of their research bridges quantitative assessment methodologies like data envelopment analysis, with scientometric and bibliometric studies on research performance and quality. Their work also touches environmental and sustainability topics, innovation policy, and applications of big data and AI in management contexts. This diverse portfolio reflects integration of analytical modeling, data quality concerns, and sustainability challenges across public and academic sectors.

Best Publications

  • Advanced Robust and Nonparametric Methods in Efficiency Analysis: Methodology and Applications

    Cinzia Daraio;Léopold Simar

  • Introducing environmental variables in nonparametric frontier models : a probabilistic approach

    Cinzia Daraio;Léopold Simar

  • Conditional nonparametric frontier models for convex and nonconvex technologies: A unifying approach

    Cinzia Daraio;Léopold Simar

  • How to measure the impact of environmental factors in a nonparametric production model

    Luiza Bădin;Cinzia Daraio;Léopold Simar

  • Universities and Strategic Knowledge Creation. Specialization and Performance in Europe

    Andrea Bonaccorsi;Cinzia Daraio

  • Optimal bandwidth selection for conditional efficiency measures: A data-driven approach

    Luiza Badin;Cinzia Daraio;Léopold Simar;Léopold Simar

  • Advanced indicators of productivity of universities. An application of robust nonparametric methods to Italian data

    Andrea Bonaccorsi;Cinzia Daraio;Léopold Simar

  • Central limit theorems for conditional efficiency measures and tests of the ‘separability’ condition in non-parametric, two-stage models of production

    Cinzia Daraio;Léopold Simar;Paul W. Wilson

  • Rankings and university performance: a conditional multidimensional approach

    Cinzia Daraio;Andrea Bonaccorsi;Léopold Simar

  • Efficiency and effectiveness in the urban public transport sector: A critical review with directions for future research

    Cinzia Daraio;Marco Diana;Flavia Di Costa;Claudio Leporelli

  • Explaining inefficiency in nonparametric production models: the state of the art

    Luiza Bădin;Cinzia Daraio;Léopold Simar

  • Exploring size and agglomeration effects on public research productivity

    Andrea Bonaccorsi;Cinzia Daraio

  • A robust nonparametric approach to evaluate and explain the performance of mutual funds

    Cinzia Daraio;Léopold Simar

  • The European university landscape: A micro characterization based on evidence from the Aquameth project

    Cinzia Daraio;Andrea Bonaccorsi;Aldo Geuna;Benedetto Lepori

  • University technology transfer: how (in)efficient are French universities?

    Claudia Curi;Cinzia Daraio;Patrick Llerena

  • Directional Distances and their Robust versions: Computational and Testing Issues

    Cinzia Daraio;Léopold Simar;Léopold Simar

  • A robust nonparametric approach to the analysis of scientific productivity

    Andrea Bonaccorsi;Cinzia Daraio

  • The advantages of an Ontology-Based Data Management approach: openness, interoperability and data quality

    Cinzia Daraio;Maurizio Lenzerini;Claudio Leporelli;Paolo Naggar

  • Indicators on individual higher education institutions: addressing data problems and comparability issues

    Andrea Bonaccorsi;Cinzia Daraio;Benedetto Lepori;Stig Slipersæter

  • Econometric Approaches to the Analysis of Productivity of R&D Systems

    Andrea Bonaccorsi;Cinzia Daraio

  • Relationships between technical efficiency and the quality and costs of health care in Italy

    S. Nuti;C. Daraio;C. Speroni;M. Vainieri

  • Universities in the New Knowledge Landscape: Tensions, Challenges, Change—An Introduction

    Andrea Bonaccorsi;Cinzia Daraio;Aldo Geuna

  • A bootstrap approach for bandwidth selection in estimating conditional efficiency measures

    Luiza Bădin;Cinzia Daraio;Léopold Simar;Léopold Simar

  • Competition and efficiency in the Italian airport system: new insights from a conditional nonparametric frontier analysis

    Tiziana D’Alfonso;Cinzia Daraio;Alberto Nastasi

  • PRODUCTIVITY AND EFFICIENCY ANALYSIS SOFTWARE: AN EXPLORATORY BIBLIOGRAPHICAL SURVEY OF THE OPTIONS

    Cinzia Daraio;Kristiaan H.J. Kerstens;Thyago Celso Cavalcante Nepomuceno;Robin Sickles

  • Fast and efficient computation of directional distance estimators

    Cinzia Daraio;Léopold Simar;Léopold Simar;Paul W. Wilson

  • Grand challenges in data integration--state of the art and future perspectives: an introduction

    Cinzia Daraio;Wolfgang Glänzel

  • Bibliometric indicators: the origin of their log-normal distribution and why they are not a reliable proxy for an individual scholar’s talent

    Giancarlo Ruocco;Giancarlo Ruocco;Cinzia Daraio;Viola Folli;Marco Leonetti;Marco Leonetti

  • Empirical tools to assess the sensitivity of directional distance functions to direction selection

    Antonio Peyrache;Cinzia Daraio

Frequent Co-Authors

Léopold Simar
Léopold Simar Université Catholique de Louvain
Andrea Bonaccorsi
Andrea Bonaccorsi University of Pisa
Giancarlo Ruocco
Giancarlo Ruocco Italian Institute of Technology
Henk F. Moed
Henk F. Moed Sapienza University of Rome
Paul W. Wilson
Paul W. Wilson Clemson University
Maurizio Lenzerini
Maurizio Lenzerini Sapienza University of Rome
Renato Bruni
Renato Bruni University of Parma
Kristiaan Kerstens
Kristiaan Kerstens IESEG School of Management
Robin C. Sickles
Robin C. Sickles Rice University

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