World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
45
Citations
7951
World Ranking
6392
National Ranking
498

Peter Challenor publication distribution in Environmental Sciences in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Environmental Sciences in 2026. The highlighted bar marks where Peter Challenor sits on this spectrum.

41–50 publications: 21 scientists 51–60 publications: 62 scientists 61–70 publications: 133 scientists 71–80 publications: 257 scientists 81–90 publications: 361 scientists 91–100 publications: 440 scientists 101–110 publications: 492 scientists 111–120 publications: 541 scientists 121–130 publications: 617 scientists 131–140 publications: 544 scientists 141–150 publications: 541 scientists 151–160 publications: 539 scientists 161–170 publications: 444 scientists 171–180 publications: 444 scientists 181–190 publications: 400 scientists 191–200 publications: 377 scientists 201–210 publications: 318 scientists 211–220 publications: 283 scientists 221–230 publications: 263 scientists 231–240 publications: 220 scientists 241–250 publications: 217 scientists 251–260 publications: 180 scientists 261–270 publications: 181 scientists 271–280 publications: 155 scientists 281–290 publications: 130 scientists 291–300 publications: 127 scientists 301–310 publications: 130 scientists 311–320 publications: 85 scientists 321–330 publications: 106 scientists 331–340 publications: 80 scientists 341–350 publications: 83 scientists 351–360 publications: 75 scientists 361–370 publications: 69 scientists 371–380 publications: 52 scientists 381–390 publications: 54 scientists 391–400 publications: 56 scientists 401–410 publications: 44 scientists 411–420 publications: 40 scientists 421–430 publications: 36 scientists 431–440 publications: 25 scientists 441–450 publications: 25 scientists 451–460 publications: 32 scientists 461–470 publications: 29 scientists 471–480 publications: 21 scientists 481–490 publications: 26 scientists 491–500 publications: 25 scientists 501–510 publications: 17 scientists 511–520 publications: 18 scientists 521–530 publications: 15 scientists 531–540 publications: 22 scientists 541–550 publications: 12 scientists 551–560 publications: 15 scientists 561–570 publications: 11 scientists 571–580 publications: 19 scientists 581–590 publications: 9 scientists 591–600 publications: 9 scientists 601–610 publications: 7 scientists 611–620 publications: 11 scientists 621–630 publications: 5 scientists 631–640 publications: 5 scientists 641–650 publications: 6 scientists 651–660 publications: 3 scientists 661–670 publications: 3 scientists 671–680 publications: 4 scientists 681–686 publications: 3 scientists 687+ publications: 100 scientists
41 publications 687+

This scientist: 213 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 687 publications or more.

Peter Challenor D-index placement in Environmental Sciences in 2026

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

30 D-Index: 12 scientists 31 D-Index: 26 scientists 32 D-Index: 51 scientists 33 D-Index: 88 scientists 34 D-Index: 123 scientists 35 D-Index: 163 scientists 36 D-Index: 206 scientists 37 D-Index: 267 scientists 38 D-Index: 265 scientists 39 D-Index: 275 scientists 40 D-Index: 321 scientists 41 D-Index: 343 scientists 42 D-Index: 305 scientists 43 D-Index: 336 scientists 44 D-Index: 330 scientists 45 D-Index: 348 scientists 46 D-Index: 291 scientists 47 D-Index: 275 scientists 48 D-Index: 272 scientists 49 D-Index: 273 scientists 50 D-Index: 263 scientists 51 D-Index: 232 scientists 52 D-Index: 266 scientists 53 D-Index: 217 scientists 54 D-Index: 199 scientists 55 D-Index: 177 scientists 56 D-Index: 202 scientists 57 D-Index: 204 scientists 58 D-Index: 166 scientists 59 D-Index: 177 scientists 60 D-Index: 166 scientists 61 D-Index: 152 scientists 62 D-Index: 143 scientists 63 D-Index: 150 scientists 64 D-Index: 124 scientists 65 D-Index: 119 scientists 66 D-Index: 120 scientists 67 D-Index: 118 scientists 68 D-Index: 82 scientists 69 D-Index: 98 scientists 70 D-Index: 94 scientists 71 D-Index: 105 scientists 72 D-Index: 74 scientists 73 D-Index: 84 scientists 74 D-Index: 70 scientists 75 D-Index: 67 scientists 76 D-Index: 78 scientists 77 D-Index: 60 scientists 78 D-Index: 59 scientists 79 D-Index: 52 scientists 80 D-Index: 47 scientists 81 D-Index: 38 scientists 82 D-Index: 48 scientists 83 D-Index: 42 scientists 84 D-Index: 42 scientists 85 D-Index: 43 scientists 86 D-Index: 29 scientists 87 D-Index: 37 scientists 88 D-Index: 29 scientists 89 D-Index: 30 scientists 90 D-Index: 34 scientists 91 D-Index: 20 scientists 92 D-Index: 22 scientists 93 D-Index: 17 scientists 94 D-Index: 19 scientists 95 D-Index: 24 scientists 96 D-Index: 21 scientists 97 D-Index: 20 scientists 98 D-Index: 24 scientists 99 D-Index: 17 scientists 100 D-Index: 17 scientists 101 D-Index: 21 scientists 102 D-Index: 25 scientists 103 D-Index: 18 scientists 104 D-Index: 26 scientists 105 D-Index: 19 scientists 106 D-Index: 15 scientists 107 D-Index: 10 scientists 108 D-Index: 13 scientists 109 D-Index: 15 scientists 110 D-Index: 12 scientists 111 D-Index: 8 scientists 112 D-Index: 7 scientists 113 D-Index: 9 scientists 114 D-Index: 6 scientists 115 D-Index: 12 scientists 116 D-Index: 7 scientists 117 D-Index: 8 scientists 118 D-Index: 3 scientists 119 D-Index: 5 scientists 120 D-Index: 7 scientists 121 D-Index: 2 scientists 122 D-Index: 4 scientists 123 D-Index: 8 scientists 124 D-Index: 7 scientists 125+ D-Index: 99 scientists
30 D-Index 125+

This scientist: 45 D-Index — 36th percentile

36% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 125 D-Index or more.

Overview

Peter Challenor is affiliated with the University of Exeter in the United Kingdom. Their research primarily intersects with computer science, with a specific focus on advanced methodologies and applications within this domain.

The scientist's core areas of study include:

  • Global and Planetary Change
  • Artificial Intelligence
  • Management Science and Operations Research
  • Computational Theory and Mathematics
  • Renewable Energy, Sustainability and the Environment

Major research topics addressed by Peter Challenor encompass:

  • Advanced Multi-Objective Optimization Algorithms
  • Gaussian Processes and Bayesian Inference
  • Simulation Techniques and Applications
  • Climate variability and models
  • COVID-19 epidemiological studies
  • Plant Water Relations and Carbon Dynamics
  • Viral Infections and Outbreaks Research

The publication record of Peter Challenor features recent work spanning topics of epidemiology, modeling, and environmental sciences. Notable papers include:

  • "Key questions for modelling COVID-19 exit strategies" (2020), published in Proceedings of the Royal Society B Biological Sciences
  • "The importance of uncertainty quantification in model reproducibility" (2021), published in Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
  • "Challenges in estimation, uncertainty quantification and elicitation for pandemic modelling" (2022), published in Epidemics
  • "Challenges on the interaction of models and policy for pandemic control" (2021), published in Epidemics
  • "Emulation of high-resolution land surface models using sparse Gaussian processes with application to JULES" (2022), published in Geoscientific Model Development

Frequent co-authors who have collaborated with Peter Challenor include:

  • Louise Kimpton
  • Victoria Volodina
  • Nikki Sonenberg
  • Daniel Williamson
  • Hossein Mohammadi

Publications by Peter Challenor appear across several venues, notably:

  • arXiv (Cornell University)
  • Epidemics
  • Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
  • Proceedings of the Royal Society B Biological Sciences
  • Geoscientific Model Development

Best Publications

  • Statistical Analysis of Spherical Data.

    P. E. Jupp;N. I. Fisher;T. Lewis;B. J. J. Embleton

  • Variability and predictability of the North Atlantic wave climate

    D. K. Woolf;P. G. Challenor;P. D. Cotton

  • Sea-level probability for the last deglaciation: A statistical analysis of far-field records

    J D Stanford;R. Hemingway;Eelco Rohling;P.G. Challenor

  • Numerical simulation of a random sea: a common error and its effect upon wave group statistics

    M.J. Tucker;P.G. Challenor;D.J.T. Carter

  • Retracking Altimeter Waveforms Near the Coasts

    C. Gommenginger;P. Thibaut;L. Fenoglio-Marc;G. Quartly

  • Seasonal and diel variation in the open ocean concentration of marine snow aggregates

    R. S. Lampitt;W. R. Hillier;P. G. Challenor

  • Rossby waves detected in global ocean colour data

    Paolo Cipollini;David Cromwell;Peter G. Challenor;Stefano Raffaglio

  • History matching for exploring and reducing climate model parameter space using observations and a large perturbed physics ensemble

    Daniel Williamson;Michael Goldstein;Lesley Allison;Adam Blaker

  • A two-parameter wind speed algorithm for Ku-band altimeters

    J. Gourrion;D. Vandemark;S. Bailey;B. Chapron

  • Concurrent altimeter and infrared observations of Rossby wave propagation near 34°N in the northeast Atlantic

    Paolo Cipollini;David Cromwell;Matthew S. Jones;Graham D. Quartly

  • A soft solid surface on Titan as revealed by the Huygens Surface Science Package

    John C. Zarnecki;Mark R. Leese;Brijen Hathi;Andrew J. Ball

  • A global study of diurnal warming using infrared satellite-derived sea surface temperature

    A.C. Stuart-Menteth;I.S. Robinson;P.G. Challenor

  • A Markov chain Monte Carlo method for estimation and assimilation into models

    Robin Harmon;Peter Challenor

  • On the timing and mechanism of millennial-scale climate variability during the last glacial cycle

    E.J. Rohling;P.A. Mayewski;P. Challenor

  • Measuring ocean wave period with satellite altimeters: A simple empirical model

    C. P. Gommenginger;M. A. Srokosz;P. G. Challenor;P. D. Cotton

  • Global fields of sea surface dimethylsulfide predicted from chlorophyll, nutrients and light

    T.R. Anderson;S.A. Spall;A. Yool;P. Cipollini

  • A global study of diurnal warming using satellite-derived sea surface temperature

    A. C. Stuart-Menteth;I. S. Robinson;P. G. Challenor

  • Use of the 3D Radon Transform to Examine the Properties of Oceanic Rossby Waves

    Peter G. Challenor;Paolo Cipollini;David Cromwell

  • Estimating return values of environmental parameters

    D. J. T. Carter;P. G. Challenor

  • Observations in the Canary Basin and the Azores frontal region using Geosat data

    R. T. Tokmakian;P. G. Challenor

  • Uncertainty in wave energy resource assessment. Part 2: Variability and predictability

    Edward B.L. Mackay;AbuBakr S. Bahaj;Peter G. Challenor

Frequent Co-Authors

Meric Srokosz
Meric Srokosz National Oceanography Centre
Paolo Cipollini
Paolo Cipollini Natural Environment Research Council
Jérôme Benveniste
Jérôme Benveniste University of Toulouse-Jean Jaurès
David K. Woolf
David K. Woolf Heriot-Watt University
Christopher Edwards
Christopher Edwards University of Exeter
Peter J. Talling
Peter J. Talling Durham University
AbuBakr S. Bahaj
AbuBakr S. Bahaj University of Southampton
Robin N Thompson
Robin N Thompson University of Oxford
Elizabeth C. Kent
Elizabeth C. Kent National Oceanography Centre
Christl A. Donnelly
Christl A. Donnelly University of Oxford

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