World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
31
Citations
3869
World Ranking
3348
National Ranking
13

Andy Philpott publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Andy Philpott sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 82 publications — 4th percentile

4% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Andy Philpott D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Andy Philpott sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 31 D-Index — 9th percentile

9% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Overview

Andy Philpott is affiliated with the University of Auckland in New Zealand. Their research primarily focuses on engineering, with notable work in subfields including electrical and electronic engineering, economics and econometrics, management science and operations research, ocean engineering, and renewable energy, sustainability and the environment.

The main topics covered by their publications encompass electric power system optimization, integrated energy systems optimization, risk and portfolio optimization, smart grid energy management, water resources management and optimization, climate change policy and economics, and economic theories and models.

Philpott's work has appeared frequently in the following publication venues:

  • INFORMS Journal on Optimization
  • Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
  • arXiv (Cornell University)
  • Operations Research
  • European Journal of Operational Research

Recent papers authored or coauthored by Philpott include:

  • Dynamic Risked Equilibrium, 2021, published in Operations Research
  • Improving Sample Average Approximation Using Distributional Robustness, 2021, published in INFORMS Journal on Optimization
  • Renewable electricity capacity planning with uncertainty at multiple scales, 2023, published in Computational Management Science
  • Capacity planning of renewable energy systems using stochastic dual dynamic programming, 2024, published in European Journal of Operational Research
  • Welfare-maximizing transmission capacity expansion under uncertainty, 2021, published in Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences

The researcher has collaborated frequently with the following coauthors:

  • Michael C. Ferris
  • Edward Anderson
  • Jarand Hole
  • Oscar Dowson
  • Vincent Leclère

Best Publications

  • On the convergence of stochastic dual dynamic programming and related methods

    A. B. Philpott;Z. Guan

  • A Stochastic Programming Approach to Electric Energy Procurement for Large Consumers

    M. Carrion;A.B. Philpott;A.J. Conejo;J.M. Arroyo

  • Dynamic sampling algorithms for multi-stage stochastic programs with risk aversion

    A. B. Philpott;V. L. de Matos

  • A Single-Settlement, Energy-Only Electric Power Market for Unpredictable and Intermittent Participants

    Geoffrey Pritchard;Golbon Zakeri;Andrew Philpott

  • Optimal Offer Construction in Electricity Markets

    E. J. Anderson;A. B. Philpott

  • Using Supply Functions for Offering Generation into an Electricity Market

    E. J. Anderson;A. B. Philpott

  • On Solving Multistage Stochastic Programs with Coherent Risk Measures

    Andy Philpott;Vitor L. de Matos;Erlon Cristian Finardi

  • Optimizing demand-side bids in day-ahead electricity markets

    A.B. Philpott;E. Pettersen

  • Dantzig-Wolfe Decomposition for Solving Multistage Stochastic Capacity-Planning Problems

    Kavinesh J. Singh;Andy B. Philpott;R. Kevin Wood

  • On the Convergence of Decomposition Methods for Multistage Stochastic Convex Programs

    P. Girardeau;V. Leclere;A. B. Philpott

  • Inexact Cuts in Benders Decomposition

    Golbon Zakeri;Andrew B. Philpott;David M. Ryan

  • Improving the performance of Stochastic Dual Dynamic Programming

    Vitor L. de Matos;Andy B. Philpott;Erlon C. Finardi

  • Equilibrium, uncertainty and risk in hydro-thermal electricity systems

    Andy Philpott;Michael Ferris;Roger Wets

  • Continuous-Time Flows in Networks

    A. B. Philpott

  • Hydroelectric reservoir optimization in a pool market

    G. Pritchard;A. B. Philpott;P. J. Neame

  • A Class of Continuous Network Flow Problems

    Edward J. Anderson;P. Nash;Andrew B. Philpott

  • A multistage stochastic programming model for the New Zealand dairy industry

    Ziming Guan;Andrew Philpott

  • Hydro-electric unit commitment subject to uncertain demand

    Andrew B. Philpott;Mark Craddock;Hamish Waterer

  • Supply Chain Optimisation in the Paper Industry

    Andrew B. Philpott;Graeme Everett

  • A continuous-time network simplex algorithm

    Edward J. Anderson;Andrew B. Philpott

  • On the Convergence of Sampling-Based Decomposition Algorithms for Multistage Stochastic Programs

    Karsten Linowsky;Andrew B. Philpott

Frequent Co-Authors

Michael C. Ferris
Michael C. Ferris University of Wisconsin–Madison
Stein W. Wallace
Stein W. Wallace Norwegian School of Economics
Karen Willcox
Karen Willcox The University of Texas at Austin
Rüdiger Schultz
Rüdiger Schultz University of Duisburg-Essen
Jose M. Arroyo
Jose M. Arroyo University of Castilla-La Mancha
Michael J. Todd
Michael J. Todd Cornell University
Antonio J. Conejo
Antonio J. Conejo The Ohio State University
Roger J.-B. Wets
Roger J.-B. Wets University of California, Davis
Matthias Ehrgott
Matthias Ehrgott Lancaster University
Pierluigi Mancarella
Pierluigi Mancarella University of Melbourne

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