World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
47
Citations
8155
World Ranking
5803
National Ranking
35

Walter Collischonn 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 Walter Collischonn 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: 231 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

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

Walter Collischonn 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 Walter Collischonn 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: 47 D-Index — 42nd percentile

42% of scientists in this discipline score the same or lower.

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

Overview

Walter Collischonn is affiliated with the Federal University of Rio Grande do Sul in Brazil. Their research primarily focuses on environmental science, spanning several specialized subfields such as global and planetary change, water science and technology, ecology, environmental engineering, and ocean engineering.

The topics explored in their work cover diverse aspects related to hydrology, including hydrology and watershed management studies, flood risk assessment and management, hydrology and sediment transport processes, hydrology and drought analysis, water resources management and optimization, plant water relations and carbon dynamics, and soil erosion and sediment transport.

Among their recent publications are:

  • Assimilation of future SWOT-based river elevations, surface extent observations and discharge estimations into uncertain global hydrological models, 2020, Journal of Hydrology
  • How much inundation occurs in the Amazon River basin?, 2022, Remote Sensing of Environment
  • Climate change may impair electricity generation and economic viability of future Amazon hydropower, 2021, Global Environmental Change
  • Regional scale hydrodynamic modeling of the river-floodplain-reservoir continuum, 2021, Journal of Hydrology
  • A Modeling Assessment of Large-Scale Hydrologic Alteration in South American Pantanal Due to Upstream Dam Operation, 2020, Frontiers in Environmental Science

Collischonn frequently publishes in notable venues, including:

  • Revista Brasileira de Recursos Hídricos
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of Hydrology
  • Water Resources Research
  • Hydrological Sciences Journal

The scientist collaborates often with other researchers. Their frequent co-authors include:

  • Rodrigo Cauduro Dias de Paiva
  • Fernando Mainardi Fan
  • Ayan Santos Fleischmann
  • Anderson Ruhoff
  • Vinícius Alencar Siqueira

Best Publications

  • Large‐scale hydrologic and hydrodynamic modeling of the Amazon River basin

    Rodrigo Cauduro Dias de Paiva;Rodrigo Cauduro Dias de Paiva;Diogo Costa Buarque;Walter Collischonn;Marie-Paule Bonnet

  • The MGB-IPH model for large-scale rainfall—runoff modelling

    Walter Collischonn;Daniel Allasia;Benedito C. Da Silva;Carlos E. M. Tucci

  • Daily hydrological modeling in the Amazon basin using TRMM rainfall estimates

    Bruno Collischonn;Walter Collischonn;Carlos Eduardo Morelli Tucci

  • Large scale hydrologic and hydrodynamic modeling using limited data and a GIS based approach

    Rodrigo C.D. Paiva;Walter Collischonn;Carlos E.M. Tucci

  • Simulação Hidrológica de Grandes Bacias

    Walter Collischonn;Carlos Eduardo Morelli Tucci

  • Further evidence of changes in the hydrological regime of the River Paraguay: part of a wider phenomenon of climate change?

    W. Collischonn;C.E.M. Tucci;R.T. Clarke

  • A direction dependent least-cost-path algorithm for roads and canals

    Walter Collischonn;Jorge Victor Pilar

  • Forecasting River Uruguay flow using rainfall forecasts from a regional weather-prediction model

    Walter Collischonn;Reinaldo Haas;Ivanilto Andreolli;Carlos Eduardo Morelli Tucci

  • MGB-IPH model for hydrological and hydraulic simulation of large floodplain river systems coupled with open source GIS

    Paulo Rógenes Monteiro Pontes;Paulo Rógenes Monteiro Pontes;Fernando Mainardi Fan;Ayan Santos Fleischmann;Rodrigo Cauduro Dias de Paiva

  • Toward continental hydrologic–hydrodynamic modeling in South America

    Vinícius A. Siqueira;Rodrigo C. D. Paiva;Ayan S. Fleischmann;Fernando M. Fan

  • Stage-discharge rating curves based on satellite altimetry and modeled discharge in the Amazon basin

    Adrien Paris;Adrien Paris;Rodrigo Dias de Paiva;Joecila Santos da Silva;Daniel Medeiros Moreira;Daniel Medeiros Moreira

  • Assessment of the MODIS global evapotranspiration algorithm using eddy covariance measurements and hydrological modelling in the Rio Grande basin

    A. L. Ruhoff;A. R. Paz;L. E.O.C. Aragao;Qiaozhen Mu

  • Gis-based procedures for hydropower potential spotting

    Dante G. Larentis;Walter Collischonn;Francisco Olivera;Carlos E.M. Tucci

  • Uncertainty in climate change impacts on water resources in the Rio Grande Basin, Brazil

    M. T. Nóbrega;W. Collischonn;C. E. M. Tucci;A. R. Paz

  • Validation of a full hydrodynamic model for large‐scale hydrologic modelling in the Amazon

    Rodrigo C. D. Paiva;Walter Collischonn;Diogo Costa Buarque

  • Assimilating in situ and radar altimetry data into a large-scale hydrologic-hydrodynamic model for streamflow forecast in the Amazon

    R. C. D. Paiva;R. C. D. Paiva;W. Collischonn;M.-P. Bonnet;L. G. G. de Gonçalves

  • A MODIS-Based Energy Balance to Estimate Evapotranspiration for Clear-Sky Days in Brazilian Tropical Savannas

    Anderson L. Ruhoff;Adriano Rolim da Paz;Walter Collischonn;Luiz Eduardo Oliveira E. Cruz de Aragão

  • Defining parameters for Eckhardt's digital baseflow filter

    Walter Collischonn;Fernando Mainardi Fan

  • Can regional to continental river hydrodynamic models be locally relevant? A cross-scale comparison

    Ayan Fleischmann;Rodrigo Paiva;Walter Collischonn

  • Large-scale modelling of channel flow and floodplain inundation dynamics and its application to the Pantanal (Brazil)

    Adriano Rolim da Paz;Walter Collischonn;Carlos E. M. Tucci;Carlos R. Padovani

  • Coupled Hydrologic-Hydraulic Modeling of the Upper Paraguay River Basin

    J. M. Bravo;D. Allasia;A. R. Paz;W. Collischonn

  • Toward continental hydrologic-hydrodynamic modeling in South America

    R. C. D. Paiva;V. A. Siqueira;A. S. Fleischmann;F. M. Fan

Frequent Co-Authors

Marie-Paule Bonnet
Marie-Paule Bonnet Institut de Recherche pour le Développement
Stéphane Calmant
Stéphane Calmant Institut de Recherche pour le Développement
Humberto Ribeiro da Rocha
Humberto Ribeiro da Rocha Universidade de São Paulo
Luiz E. O. C. Aragão
Luiz E. O. C. Aragão National Institute for Space Research
Fabrice Papa
Fabrice Papa Laboratoire d’Etudes en Géophysique et Océanographie Spatiales
Jean-Loup Guyot
Jean-Loup Guyot Institut de Recherche pour le Développement
Barry Croke
Barry Croke Australian National University
Qiaozhen Mu
Qiaozhen Mu Science Systems & Applications, Inc.
Steven W. Running
Steven W. Running University of Montana
Albrecht Weerts
Albrecht Weerts Wageningen University & Research

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