World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
43
Citations
11640
World Ranking
6943
National Ranking
174

Jan A. Elbers 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 Jan A. Elbers 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: 101 publications — 14th percentile

14% of scientists in this discipline score the same or lower.

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

Jan A. Elbers 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 Jan A. Elbers 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: 43 D-Index — 29th percentile

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

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Ecosystem
  • Meteorology
  • Climate change

Jan Elbers spends much of his time researching Eddy covariance, Dry season, Rainforest, Remote sensing and Latent heat. His FluxNet study in the realm of Eddy covariance connects with subjects such as Quality management. His Dry season research is multidisciplinary, incorporating elements of Tower, Energy balance, Tropics, Seasonality and Amazon rainforest.

His studies deal with areas such as Wet season, Productivity, Biomass, Diurnal temperature variation and Carbon dioxide as well as Rainforest. His research investigates the connection with Remote sensing and areas like Sensible heat which intersect with concerns in Terrain. His Anemometer research integrates issues from Calibration and Water vapor.

His most cited work include:

  • Estimates of the annual net carbon and water exchange of forests: the EUROFLUX methodology (1562 citations)
  • A system to measure surface fluxes of momentum, sensible heat, water vapour and carbon dioxide (694 citations)
  • Seasonality of ecosystem respiration and gross primary production as derived from FLUXNET measurements (562 citations)

What are the main themes of his work throughout his whole career to date?

His scientific interests lie mostly in Atmospheric sciences, Eddy covariance, Meteorology, Ecosystem and Sensible heat. As a part of the same scientific study, Jan Elbers usually deals with the Atmospheric sciences, concentrating on Growing season and frequently concerns with Carbon sequestration. He has included themes like Anemometer and Primary production in his Eddy covariance study.

His Planetary boundary layer, Urban heat island, Wind speed and Inversion study in the realm of Meteorology interacts with subjects such as Surface. His Ecosystem research incorporates themes from Productivity, Biomass and Taiga. His research integrates issues of Energy balance, Spatial variability, Latent heat, Available energy and Remote sensing in his study of Sensible heat.

He most often published in these fields:

  • Atmospheric sciences (31.82%)
  • Eddy covariance (28.41%)
  • Meteorology (19.32%)

What were the highlights of his more recent work (between 2013-2020)?

  • Atmospheric sciences (31.82%)
  • Meteorology (19.32%)
  • Eddy covariance (28.41%)

In recent papers he was focusing on the following fields of study:

Jan Elbers mostly deals with Atmospheric sciences, Meteorology, Eddy covariance, Energy balance and Ecosystem. In his study, Normalized Difference Vegetation Index, Remote sensing, FluxNet and Growing season is inextricably linked to Phenology, which falls within the broad field of Atmospheric sciences. His Meteorology study combines topics in areas such as Evapotranspiration and Water resources.

His Eddy covariance research incorporates elements of Atmospheric methane, Water vapor and City centre. His research on Energy balance also deals with topics like

  • Energy budget and related Forestry and Atmospheric research,
  • Leaf area index, which have a strong connection to Sensible heat, Temperate climate, Latent heat, Crop yield and Atmospheric model. The various areas that Jan Elbers examines in his Ecosystem study include Tributary and Taiga.

Between 2013 and 2020, his most popular works were:

  • Temporal and spatial variability of urban heat island and thermal comfort within the Rotterdam agglomeration (141 citations)
  • Matching the phenology of Net Ecosystem Exchange and vegetation indices estimated with MODIS and FLUXNET in-situ observations (58 citations)
  • Evaluating the performance of commonly used gas analysers for methane eddy covariance flux measurements: the InGOS inter-comparison field experiment (36 citations)

In his most recent research, the most cited papers focused on:

  • Ecosystem
  • Meteorology
  • Statistics

His primary areas of investigation include Meteorology, Atmospheric sciences, Eddy covariance, Phenology and Thermal comfort. His study in the fields of Atmospheric methane and Water vapor under the domain of Meteorology overlaps with other disciplines such as Dilution and Flux. His Atmospheric sciences study frequently draws parallels with other fields, such as FluxNet.

His research in Eddy covariance intersects with topics in Sensible heat, Energy balance, Temperate climate, Leaf area index and Latent heat. His studies in Phenology integrate themes in fields like Correlation coefficient, Growing season, Crop yield, Remote sensing and Normalized Difference Vegetation Index. As a part of the same scientific family, Jan Elbers mostly works in the field of Thermal comfort, focusing on Daytime and, on occasion, Climate change and Spatial variability.

Best Publications

  • Estimates of the annual net carbon and water exchange of forests: the EUROFLUX methodology

    Marc Aubinet;Achim Grelle;Andreas Ibrom;Üllar Rannik

  • A system to measure surface fluxes of momentum, sensible heat, water vapour and carbon dioxide

    J.B. Moncrieff;J.M. Massheder;H. de Bruin;J.A. Elbers

  • Seasonality of ecosystem respiration and gross primary production as derived from FLUXNET measurements

    Eva Falge;Dennis Baldocchi;John Tenhunen;Marc Aubinet

  • Comparative measurements and seasonal variations in energy and carbon exchange over forest and pasture in South West Amazonia

    C. von Randow;A.O. Manzi;B. Kruijt;P.J. de Oliveira

  • Comparative measurements of carbon dioxide fluxes from two nearby towers in a central Amazonian rainforest: the Manaus LBA site

    A. C. Araújo;A. D. Nobre;B. Kruijt;J. A. Elbers

  • Temporal and spatial variability of urban heat island and thermal comfort within the Rotterdam agglomeration

    L.W.A. van Hove;C.M.J. Jacobs;B.G. Heusinkveld;J.A. Elbers

  • Remote sensing of sun-induced fluorescence to improve modeling of diurnal courses of gross primary production (GPP)

    Alexander Damm;Jan Elbers;André Erler;Beniamino Gioli

  • Management effects on net ecosystem carbon and GHG budgets at European crop sites

    Eric Ceschia;Pierre Béziat;Jean-François Dejoux;M. Aubinet

  • Impact of severe dry season on net ecosystem exchange in the Neotropical rainforest of French Guiana

    Damien Bonal;Alexandre Bosc;Stéphane Ponton;Jean-Yves Goret

  • Quality control of CarboEurope flux data – Part 2: Inter-comparison of eddy-covariance software

    Matthias Mauder;Matthias Mauder;Thomas Foken;Robert Clement;Jan A. Elbers

  • Quality control of CarboEurope flux data. Part 1: Coupling footprint analyses with flux data quality assessment to evaluate sites in forest ecosystems

    Mathias Göckede;Mathias Göckede;Thomas Foken;Marc Aubinet;Mika Aurela

  • Quality analysis applied on eddy covariance measurements at complex forest sites using footprint modelling

    Corinna Rebmann;Mathias Göckede;Thomas Foken;Marc Aubinet

  • Bridging the gap between atmospheric concentrations and local ecosystem measurements

    T. Lauvaux;B. Gioli;C. Sarrat;P.J. Rayner

  • Climate control of terrestrial carbon exchange across biomes and continents

    Chuixiang Yi;Daniel Ricciuto;Runze Li;John Wolbeck

  • The carbon uptake of a mid latitude pine forest growing on sandy soil

    A.J. Dolman;E.J. Moors;J.A. Elbers

  • Inverse carbon dioxide flux estimates for the Netherlands

    A. G. C. A. Meesters;L. F. Tolk;W. Peters;R. W. A. Hutjes

  • Phase and amplitude of ecosystem carbon release and uptake potentials as derived from FLUXNET measurements

    Eva Falge;John Tenhunen;Dennis Baldocchi;Marc Aubinet

  • Global transpiration data from sap flow measurements: the SAPFLUXNET database

    Rafael Poyatos;Víctor Granda;Víctor Flo;Mark A. Adams;Mark A. Adams

  • Sonic anemometer (co)sine response and flux measurement: II. The effect of introducing an angle of attack dependent calibration

    M.K. van der Molen;J.H.C. Gash;J.A. Elbers

  • The robustness of eddy correlation fluxes for Amazon rain forest conditions

    B. Kruijt;J. A. Elbers;C. von Randow;A. C. Araújo

  • Analyzing the Ecosystem Carbon Dynamics of Four European Coniferous Forests Using a Biogeochemistry Model

    Galina Churkina;John Tenhunen;Peter Thornton;Eva M. Falge

Frequent Co-Authors

Eddy Moors
Eddy Moors Vrije Universiteit Amsterdam
Cor Jacobs
Cor Jacobs Wageningen University & Research
Bart Kruijt
Bart Kruijt Wageningen University & Research
Pavel Kabat
Pavel Kabat Wageningen University & Research
A. J. Dolman
A. J. Dolman Vrije Universiteit Amsterdam
John Moncrieff
John Moncrieff University of Edinburgh
Robert Clement
Robert Clement University of Edinburgh
Thomas Foken
Thomas Foken University of Bayreuth

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