| Measuring eco‐efficiency of production with data envelopment analysis T Kuosmanen, M Kortelainen Journal of Industrial Ecology 9 (4), 59-72, 2005 | 861 | 2005 |
| Weak disposability in nonparametric production analysis with undesirable outputs T Kuosmanen American Journal of Agricultural Economics 87 (4), 1077-1082, 2005 | 631 | 2005 |
| Stochastic non-smooth envelopment of data: semi-parametric frontier estimation subject to shape constraints T Kuosmanen, M Kortelainen Journal of Productivity Analysis 38 (1), 11-28, 2012 | 523* | 2012 |
| Data envelopment analysis as nonparametric least-squares regression T Kuosmanen, AL Johnson Operations Research 58 (1), 149-160, 2010 | 338 | 2010 |
| Representation theorem for convex nonparametric least squares T Kuosmanen The Econometrics Journal 11 (2), 308-325, 2008 | 309 | 2008 |
| Efficient diversification according to stochastic dominance criteria T Kuosmanen Management Science 50 (10), 1390-1406, 2004 | 309 | 2004 |
| Weak disposability in nonparametric production analysis: reply to Färe and Grosskopf T Kuosmanen, V Podinovski American Journal of Agricultural Economics 91 (2), 539-545, 2009 | 260 | 2009 |
| One-stage and two-stage DEA estimation of the effects of contextual variables AL Johnson, T Kuosmanen European Journal of Operational Research 220 (2), 559-570, 2012 | 208 | 2012 |
| Stochastic semi-nonparametric frontier estimation of electricity distribution networks: Application of the StoNED method in the Finnish regulatory model T Kuosmanen Energy Economics 34 (6), 2189-2199, 2012 | 198 | 2012 |
| How not to measure sustainable value (and how one might) T Kuosmanen, N Kuosmanen Ecological Economics 69 (2), 235-243, 2009 | 197 | 2009 |
| What is the best practice for benchmark regulation of electricity distribution? Comparison of DEA, SFA and StoNED methods T Kuosmanen, A Saastamoinen, T Sipiläinen Energy Policy 61, 740-750, 2013 | 192 | 2013 |
| Stochastic nonparametric approach to efficiency analysis: A unified framework T Kuosmanen, A Johnson, A Saastamoinen Data Envelopment Analysis: A Handbook of Models and Methods, 191-244, 2015 | 176 | 2015 |
| Modelling weak disposability in data envelopment analysis under relaxed convexity assumptions VV Podinovski, T Kuosmanen European Journal of Operational Research 211 (3), 577-585, 2011 | 162 | 2011 |
| Benchmarking sustainable development: a synthetic meta-index approach L Cherchye, T Kuosmanen WIDER Research Paper, 2004 | 157 | 2004 |
| The law of one price in data envelopment analysis: Restricting weight flexibility across firms T Kuosmanen, L Cherchye, T Sipiläinen European Journal of Operational Research 170 (3), 735-757, 2006 | 151 | 2006 |
| One-stage estimation of the effects of operational conditions and practices on productive performance: Asymptotically normal and efficient, root-n consistent StoNEZD method AL Johnson, T Kuosmanen Journal of Productivity Analysis 36 (2), 219-230, 2011 | 146 | 2011 |
| Theory of integer-valued data envelopment analysis T Kuosmanen, RK Matin European journal of operational research 192 (2), 658-667, 2009 | 145 | 2009 |
| Measurement and analysis of eco‐efficiency: An economist's perspective T Kuosmanen Journal of Industrial Ecology 9 (4), 15-18, 2005 | 144 | 2005 |
| Best-practice benchmarking using clustering methods: Application to energy regulation X Dai, T Kuosmanen Omega 42 (1), 179-188, 2014 | 137 | 2014 |
| Measuring economic efficiency with incomplete price information: With an application to European commercial banks T Kuosmanen, T Post European Journal of Operational Research 134 (1), 43-58, 2001 | 135 | 2001 |
G.T. PostProfessor of Finance, Nazarbayev UniversityVerified email at nu.edu.kz
