World's Best Scientists 2026 revealed!
Stewart W. Franks

Stewart W. Franks

D-Index & Metrics

Environmental Sciences

D-Index
43
Citations
11646
World Ranking
6944
National Ranking
254

Stewart W. Franks 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 Stewart W. Franks 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: 282 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: 26 scientists 501–510 publications: 17 scientists 511–520 publications: 19 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 681–689 publications: 4 scientists 690+ publications: 100 scientists
41 publications 690+

This scientist: 157 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 690 publications or more.

Stewart W. Franks 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 Stewart W. Franks 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: 198 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: 20 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: 9 scientists 126+ D-Index: 92 scientists
30 D-Index 126+

This scientist: 43 D-Index — 29th percentile

29% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 126 D-Index or more.

Overview

Stewart W. Franks is currently affiliated with the University of Tasmania in Australia. Their academic profile reflects institutional association but does not provide specific details on research projects, exact fields of study, or publication records.

There are no recent papers, frequent co-authors, or publication venues listed, limiting insight into research collaborations or dissemination outlets. Similarly, no data is available regarding book publications authored or contributed to by Stewart W. Franks.

No information is provided concerning the main or subfields of study, nor on research topics covered. Awards or distinctions received by Stewart W. Franks have not been recorded in the provided data.

The available information establishes Stewart W. Franks as a researcher active within academia, specifically at the University of Tasmania, but lacks detailed content about their scholarly contributions or thematic areas of expertise.

Best Publications

  • IAHS Decade on Predictions in Ungauged Basins (PUB), 2003–2012: Shaping an exciting future for the hydrological sciences

    M. Sivapalan;K. Takeuchi;S. W. Franks;V. K. Gupta

  • Understanding predictive uncertainty in hydrologic modeling: The challenge of identifying input and structural errors

    Benjamin Renard;Dmitri Kavetski;George Kuczera;Mark Thyer

  • Bayesian analysis of input uncertainty in hydrological modeling: 1. Theory

    Dmitri Kavetski;Dmitri Kavetski;George Kuczera;Stewart W. Franks

  • Bayesian analysis of input uncertainty in hydrological modeling: 2. Application

    Dmitri Kavetski;Dmitri Kavetski;George Kuczera;Stewart W. Franks

  • Model Parameter Estimation Experiment (MOPEX): An overview of science strategy and major results from the second and third workshops

    Q. Duan;J. Schaake;V. Andréassian;S. Franks

  • Towards a Bayesian total error analysis of conceptual rainfall-runoff models: Characterising model error using storm-dependent parameters

    George Kuczera;Dmitri Kavetski;Stewart Franks;Mark Thyer

  • Critical evaluation of parameter consistency and predictive uncertainty in hydrological modeling: A case study using Bayesian total error analysis

    Mark Thyer;Benjamin Renard;Dmitri Kavetski;George Kuczera

  • Multi‐decadal variability of flood risk

    Anthony S. Kiem;Stewart W. Franks;George Kuczera

  • Confronting Input Uncertainty in Environmental Modelling

    Dmitri Kavetski;Stewart W. Franks;George Kuczera

  • On constraining the predictions of a distributed model: the incorporation of fuzzy estimates of saturated areas into the calibration process.

    Stewart W. Franks;Stewart W. Franks;Philippe Gineste;Keith J. Beven;Philippe Merot

  • Multidecadal variability of rainfall and streamflow: Eastern Australia

    Danielle C. Verdon;Adam M. Wyatt;Anthony S. Kiem;Stewart W. Franks

  • Long‐term behaviour of ENSO: Interactions with the PDO over the past 400 years inferred from paleoclimate records

    Danielle C. Verdon;Stewart W. Franks

  • Toward a reliable decomposition of predictive uncertainty in hydrological modeling: Characterizing rainfall errors using conditional simulation

    Benjamin Renard;Dmitri Kavetski;Etienne Leblois;Mark Thyer

  • On the sensitivity of soil-vegetation-atmosphere transfer (SVAT) schemes: equifinality and the problem of robust calibration

    Stewart Franks;K. J. Beven;P. F. Quinn;I. R. Wright

  • Multi-decadal variability of drought risk, eastern Australia

    Anthony S. Kiem;Stewart W. Franks

  • Flood frequency analysis: Evidence and implications of secular climate variability, New South Wales

    Stewart W. Franks;George Kuczera

  • Calibration of conceptual hydrological models revisited: 1. Overcoming numerical artefacts

    Dmitri Kavetski;George Kuczera;Stewart W. Franks

  • Bayesian estimation of uncertainty in land surface‐atmosphere flux predictions

    Stewart W. Franks;Stewart W. Franks;Keith J. Beven

  • Multi-parameter fingerprinting of sediment deposition in a small gullied catchment in SE Australia

    A.K. Krause;S.W. Franks;J.D. Kalma;R.J. Loughran

  • On the identification of ENSO-induced rainfall and runoff variability: a comparison of methods and indices

    Anthony S. Kiem;Stewart W. Franks

Frequent Co-Authors

George Kuczera
George Kuczera University of Newcastle Australia
Dmitri Kavetski
Dmitri Kavetski University of Adelaide
Jetse D. Kalma
Jetse D. Kalma University of Newcastle Australia
Anthony S. Kiem
Anthony S. Kiem University of Newcastle Australia
Hoshin V. Gupta
Hoshin V. Gupta University of Arizona
Thorsten Wagener
Thorsten Wagener University of Potsdam
Keith Beven
Keith Beven Lancaster University
Murugesu Sivapalan
Murugesu Sivapalan University of Illinois at Urbana-Champaign
Matthew F. McCabe
Matthew F. McCabe King Abdullah University of Science and Technology
Harald Kunstmann
Harald Kunstmann Karlsruhe Institute of Technology

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