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Timo Kuosmanen

Timo Kuosmanen

D-Index & Metrics

Social Sciences and Humanities

D-Index
41
Citations
7436
World Ranking
5032
National Ranking
47

Timo Kuosmanen 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 Timo Kuosmanen 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: 149 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Timo Kuosmanen 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 Timo Kuosmanen 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: 41 D-Index — 38th percentile

38% of scientists in this discipline score the same or lower.

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

Overview

Timo Kuosmanen is affiliated with Aalto University in Finland and has contributed extensively to research within the fields of economics, econometrics, and finance. Their work spans several subfields, including economics and econometrics, statistics and probability, management science and operations research, renewable energy, sustainability and the environment, and finance.

The main topics of their research include:

  • Efficiency Analysis Using DEA
  • Statistical Methods and Inference
  • Climate Change Policy and Economics
  • Advanced Statistical Methods and Models
  • Energy, Environment, and Transportation Policies
  • Energy, Environment, Economic Growth
  • Maritime Ports and Logistics

Kuosmanen has published research in several venues, with notable frequency in:

  • arXiv (Cornell University)
  • European Journal of Operational Research
  • SSRN Electronic Journal
  • Journal of Productivity Analysis
  • Energy Economics

Recent publications include:

  • "Shadow prices and marginal abatement costs: Convex quantile regression approach" (2020) in European Journal of Operational Research
  • "Forward-looking assessment of the GHG abatement cost: Application to China" (2020) in Energy Economics
  • "Convex support vector regression" (2023) in European Journal of Operational Research
  • "Portfolio diversification based on stochastic dominance under incomplete probability information" (2020) in European Journal of Operational Research
  • "Lurking in the shadows: The impact of CO2 emissions target setting on carbon pricing in the Kyoto agreement period." (2022) in Energy Economics

Common co-authors of Kuosmanen include:

  • Sheng Dai
  • Xun Zhou
  • Natalia Kuosmanen
  • Rasmus Bøgh Holmen
  • Kenneth Løvold Rødseth

The breadth of Kuosmanen's work reflects a strong focus on applying advanced quantitative and statistical methods to address problems related to efficiency analysis, environmental and energy economics, and finance. Their publication record demonstrates engagement with interdisciplinary research communities dedicated to operations research, productivity analysis, and sustainability issues.

Best Publications

  • Measuring Eco-efficiency of Production with Data Envelopment Analysis

    Timo Kuosmanen;Mika Kortelainen

  • Weak Disposability in Nonparametric Production Analysis with Undesirable Outputs

    Timo Kuosmanen

  • Stochastic Non-Smooth Envelopment of Data: Semi-Parametric Frontier Estimation Subject to Shape Constraints

    Timo Kuosmanen;Mika Kortelainen

  • Data Envelopment Analysis as Nonparametric Least-Squares Regression

    Timo Kuosmanen;Andrew L. Johnson

  • Efficient Diversification According to Stochastic Dominance Criteria

    Timo Kuosmanen

  • Representation Theorem for Convex Nonparametric Least Squares

    Timo Kuosmanen

  • Benchmarking Sustainable Development: A Synthetic Meta-index Approach

    Laurens Cherchye;Timo Kuosmanen

  • Weak Disposability in Nonparametric Production Analysis: Reply to Färe and Grosskopf

    Timo Kuosmanen;Victor V. Podinovski

  • One-stage and two-stage DEA estimation of the effects of contextual variables

    Andrew L. Johnson;Timo Kuosmanen

  • Stochastic semi-nonparametric frontier estimation of electricity distribution networks: Application of the StoNED method in the Finnish regulatory model

    Timo Kuosmanen

  • How not to measure sustainable value (and how one might)

    Timo Kuosmanen;Natalia Kuosmanen

  • What is the best practice for benchmark regulation of electricity distribution? Comparison of DEA, SFA and StoNED methods

    Timo Kuosmanen;Antti Saastamoinen;Timo Sipiläinen

  • The law of one price in data envelopment analysis : Restricting weight flexibility across firms

    Timo Kuosmanen;Laurens Cherchye;Timo Sipiläinen

  • Modelling weak disposability in data envelopment analysis under relaxed convexity assumptions

    Victor V. Podinovski;Timo Kuosmanen

  • One-stage estimation of the effects of operational conditions and practices on productive performance: asymptotically normal and efficient, root-n consistent StoNEZD method

    Andrew L. Johnson;Timo Kuosmanen

  • Best-practice benchmarking using clustering methods: Application to energy regulation

    Xiaofeng Dai;Timo Kuosmanen

  • Theory of integer-valued data envelopment analysis

    Timo Kuosmanen;Reza Kazemi Matin

  • Measurement and Analysis of Eco‐efficiency: An Economist's Perspective

    Timo Kuosmanen

  • Measuring economic efficiency with incomplete price information: With an application to European commercial banks

    Timo Kuosmanen;Thierry Post

  • Stochastic Nonparametric Approach to Efficiency Analysis: A Unified Framework

    Timo Kuosmanen;Andrew Johnson;Antti Saastamoinen

  • Valuing environmental factors in cost–benefit analysis using data envelopment analysis

    Timo Kuosmanen;Mika Kortelainen

Frequent Co-Authors

Thierry Post
Thierry Post Nazarbayev University
Rob Dellink
Rob Dellink Organisation For Economic Co-Operation and Development
Justus Wesseler
Justus Wesseler Wageningen University & Research
Subal C. Kumbhakar
Subal C. Kumbhakar Binghamton University
Steven Van Passel
Steven Van Passel University of Antwerp
Mogens Fosgerau
Mogens Fosgerau University of Copenhagen
G. Cornelis van Kooten
G. Cornelis van Kooten University of Victoria

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