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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Environmental Sciences 56 3661 3495 139 138 176 10892

Matthias Cuntz publications per year

The chart shows the history of publications by Matthias Cuntz between 1999 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Matthias Cuntz published across 28 years, from 1999 to 2026, averaging 8 papers a year. Output peaked at 24 publications in 2016. 13 of the 225 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1999 to 2026. Vertical axis: number of publications, 0 to 24. Peak 24 publications in 2016. 1999: 1 publication 2000: 0 publications 2001: 0 publications 2002: 4 publications 2003: 3 publications 2004: 2 publications 2005: 3 publications 2006: 0 publications 2007: 5 publications 2008: 1 publication 2009: 5 publications 2010: 2 publications 2011: 3 publications 2012: 6 publications 2013: 13 publications 2014: 18 publications 2015: 23 publications 2016: 24 publications 2017: 12 publications 2018: 15 publications 2019: 7 publications 2020: 15 publications 2021: 12 publications 2022: 9 publications 2023: 14 publications 2024: 15 publications 2025: 12 publications 2026: 1 publication
1999 2026

225 publications in total across all disciplines

View publications per year as a table
Matthias Cuntz: publications per year, 1999 to 2026
Year Publications
1999 1
2000 0
2001 0
2002 4
2003 3
2004 2
2005 3
2006 0
2007 5
2008 1
2009 5
2010 2
2011 3
2012 6
2013 13
2014 18
2015 23
2016 24
2017 12
2018 15
2019 7
2020 15
2021 12
2022 9
2023 14
2024 15
2025 12
2026 1
Total 225
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Matthias Cuntz 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 Matthias Cuntz sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 66 bars. Horizontal axis: publications, 41–50 to 690+. Vertical axis: number of scientists, 0 to 617. Most scientists, 617, have 121–130 publications. The last bar groups every scientist with 690 publications or more. The highlighted bar, 171–180 publications, is where this scientist sits. 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
41–50 publications 690+

This scientist: 176 publications — 54th percentile

54% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Environmental Sciences scientists by publication count, Research.com 2026 ranking edition. Based on 9,676 ranked scientists.
Publications Scientists This scientist
41–50 21
51–60 62
61–70 133
71–80 257
81–90 361
91–100 440
101–110 492
111–120 541
121–130 617
131–140 544
141–150 541
151–160 539
161–170 444
171–180 444 176
181–190 400
191–200 377
201–210 318
211–220 282
221–230 263
231–240 220
241–250 217
251–260 180
261–270 181
271–280 155
281–290 130
291–300 127
301–310 130
311–320 85
321–330 106
331–340 80
341–350 83
351–360 75
361–370 69
371–380 52
381–390 54
391–400 56
401–410 44
411–420 40
421–430 36
431–440 25
441–450 25
451–460 32
461–470 29
471–480 21
481–490 26
491–500 26
501–510 17
511–520 19
521–530 15
531–540 22
541–550 12
551–560 15
561–570 11
571–580 19
581–590 9
591–600 9
601–610 7
611–620 11
621–630 5
631–640 5
641–650 6
651–660 3
661–670 3
671–680 4
681–689 4
690+ 100
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Matthias Cuntz 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 Matthias Cuntz sits on this spectrum.

No. of scientists
100 200 300
Bar chart with 97 bars. Horizontal axis: D-Index, 30 to 126+. Vertical axis: number of scientists, 0 to 348. Most scientists, 348, have 45 D-Index. The last bar groups every scientist with 126 D-Index or more. The highlighted bar, 56 D-Index, is where this scientist sits. 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: 56 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Environmental Sciences scientists by D-index, Research.com 2026 ranking edition. Based on 9,676 ranked scientists.
D-Index Scientists This scientist
30 12
31 26
32 51
33 88
34 123
35 163
36 206
37 267
38 265
39 275
40 321
41 343
42 305
43 336
44 330
45 348
46 291
47 275
48 272
49 273
50 263
51 232
52 266
53 217
54 198
55 177
56 202 56
57 204
58 166
59 177
60 166
61 152
62 143
63 150
64 124
65 119
66 120
67 118
68 82
69 98
70 94
71 105
72 74
73 84
74 70
75 67
76 78
77 60
78 59
79 52
80 47
81 38
82 48
83 42
84 42
85 43
86 29
87 37
88 29
89 30
90 34
91 20
92 22
93 17
94 19
95 24
96 21
97 20
98 24
99 17
100 17
101 21
102 25
103 18
104 26
105 20
106 15
107 10
108 13
109 15
110 12
111 8
112 7
113 9
114 6
115 12
116 7
117 8
118 3
119 5
120 7
121 2
122 4
123 8
124 7
125 9
126+ 92
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Overview

Matthias Cuntz is affiliated with the University of Lorraine in France and conducts research primarily in the field of Environmental Science. Their work encompasses several subfields, including Global and Planetary Change, Atmospheric Science, Environmental Engineering, Ecology, and Nature and Landscape Conservation.

The main topics covered in Matthias Cuntz's research include Plant Water Relations and Carbon Dynamics, Climate Variability and Models, Atmospheric and Environmental Gas Dynamics, Tree-ring Climate Responses, Hydrology and Watershed Management Studies, Remote Sensing in Agriculture, and Cryospheric Studies and Observations.

Recent papers by Matthias Cuntz reflect these interests and reveal collaboration with various researchers. Notable publications include:

  • Scientific and Human Errors in a Snow Model Intercomparison, 2020, Bulletin of the American Meteorological Society
  • Higher than expected CO2 fertilization inferred from leaf to global observations, 2020, Global Change Biology
  • Sensitivity of gross primary productivity to climatic drivers during the summer drought of 2018 in Europe, 2020, Philosophical Transactions of the Royal Society B Biological Sciences
  • Growth resistance and resilience of mixed silver fir and Norway spruce forests in central Europe: Contrasting responses to mild and severe droughts, 2021, Global Change Biology
  • Borehole Equilibration: Testing a New Method to Monitor the Isotopic Composition of Tree Xylem Water in situ, 2020, Frontiers in Plant Science

Frequent co-authors in Matthias Cuntz's research projects include:

  • Andreas Ibrom
  • Corinna Rebmann
  • Vanessa Haverd
  • Alexander Knohl
  • Ladislav Šigut

Matthias Cuntz regularly publishes in several scientific venues, including:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Global Change Biology
  • Philosophical Transactions of the Royal Society B Biological Sciences
  • Biogeosciences
  • HAL (Le Centre pour la Communication Scientifique Directe)

Best Publications

  • TRY plant trait database : Enhanced coverage and open access

    Jens Kattge;Gerhard Bönisch;Sandra Díaz;Sandra Lavorel

  • A strategy for quality and uncertainty assessment of long-term eddy-covariance measurements

    Matthias Mauder;Matthias Cuntz;Clemens Drüe;Alexander Graf

  • Air temperature optima of vegetation productivity across global biomes.

    Mengtian Huang;Shilong Piao;Shilong Piao;Philippe Ciais;Josep Peñuelas

  • The Plumbing of Land Surface Models: Benchmarking Model Performance

    M.J. Best;G. Abramowitz;H.R. Johnson;A.J. Pitman

  • A new version of the CABLE land surface model (Subversion revision r4601) incorporating land use and land cover change, woody vegetation demography, and a novel optimisation-based approach to plant coordination of photosynthesis

    Vanessa Haverd;Benjamin Smith;Benjamin Smith;Lars Nieradzik;Peter R. Briggs

  • ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks

    Gerhard Krinner;Chris Derksen;Richard Essery;Mark Flanner

  • Large inert carbon pool in the terrestrial biosphere during the Last Glacial Maximum

    P. Ciais;A. Tagliabue;A. Tagliabue;M. Cuntz;L. Bopp

  • Multiscale and Multivariate Evaluation of Water Fluxes and States over European River Basins

    Oldrich Rakovec;Rohini Kumar;Juliane Mai;Matthias Cuntz

  • Progress and challenges in using stable isotopes to trace plant carbon and water relations across scales

    Christiane Werner;Hans Schnyder;Matthias Cuntz;C. Keitel

  • The impact of standard and hard-coded parameters on the hydrologic fluxes in the Noah-MP land surface model

    Matthias Cuntz;Matthias Cuntz;Juliane Mai;Luis Samaniego;Martyn Clark

  • Improving calibration and validation of cosmic-ray neutron sensors in the light of spatial sensitivity

    Martin Schrön;Markus Köhli;Markus Köhli;Markus Köhli;Lena Scheiffele;Joost Iwema

  • Verification of German methane emission inventories and their recent changes based on atmospheric observations

    Ingeborg Levin;Holger Glatzel-Mattheier;Thomas Marik;Matthias Cuntz

  • Scientific and Human Errors in a Snow Model Intercomparison

    Cecile B. Menard;Richard Essery;Gerhard Krinner;Gabriele Arduini

  • Higher than expected CO2 fertilization inferred from leaf to global observations

    Vanessa Haverd;Benjamin Smith;Benjamin Smith;Benjamin Smith;Josep G. Canadell;Matthias Cuntz

  • Modelling advection and diffusion of water isotopologues in leaves

    Matthias Oskar Cuntz;Jerome Ogee;Graham Farquhar;Philippe Peylin

  • Infiltration from the Pedon to Global Grid Scales: An Overview and Outlook for Land Surface Modeling

    Harry Vereecken;Lutz Weihermüller;Shmuel Assouline;Jirka Šimůnek

  • Partitioning evapotranspiration – Testing the Craig and Gordon model with field measurements of oxygen isotope ratios of evaporative fluxes

    Maren Dubbert;Matthias Cuntz;Arndt Piayda;Cristina Maguás

  • The Bode hydrological observatory: a platform for integrated, interdisciplinary hydro-ecological research within the TERENO Harz/Central German Lowland Observatory

    Ute Wollschläger;Sabine Attinger;Dietrich Borchardt;Mario Brauns

  • Growth resistance and resilience of mixed silver fir and Norway spruce forests in central Europe: Contrasting responses to mild and severe droughts.

    Alessandra Bottero;David I Forrester;David I Forrester;Maxime Cailleret;Ulrich Kohnle

  • Sensitivity of gross primary productivity to climatic drivers during the summer drought of 2018 in Europe

    Zheng Fu;Philippe Ciais;Ana Bastos;Paul C. Stoy;Paul C. Stoy

  • A comprehensive global three‐dimensional model of δ18O in atmospheric CO2: 1. Validation of surface processes

    Matthias Cuntz;Matthias Cuntz;Philippe Ciais;Georg Hoffmann;Wolfgang Knorr

  • Air and biomass heat storage fluxes in a forest canopy: Calculation within a soil vegetation atmosphere transfer model

    Vanessa Haverd;Vanessa Haverd;Matthias Oskar Cuntz;Ray Leuning;Heather Keith

  • Partitioning net ecosystem carbon exchange into net assimilation and respiration with canopy‐scale isotopic measurements: An error propagation analysis with 13CO2 and CO18O data

    J. Ogée;J. Ogée;P. Peylin;M. Cuntz;M. Cuntz;T. Bariac

  • The impact of standard and hard-coded parameters on the hydrologic fluxes in the Noah-MP land surface model

    S. Thober;M. Cuntz;J. Mai;L. E. Samaniego

Frequent Co-Authors

Luis Samaniego
Luis Samaniego Helmholtz Centre for Environmental Research
Corinna Rebmann
Corinna Rebmann Helmholtz Centre for Environmental Research
Vanessa Haverd
Vanessa Haverd Commonwealth Scientific and Industrial Research Organisation
Sabine Attinger
Sabine Attinger Helmholtz Centre for Environmental Research
Christiane Werner
Christiane Werner University of Freiburg
Jérôme Ogée
Jérôme Ogée INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
Rohini Kumar
Rohini Kumar Helmholtz Centre for Environmental Research
Martyn P. Clark
Martyn P. Clark University of Saskatchewan
Lisa Wingate
Lisa Wingate INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
Andreas Huth
Andreas Huth Helmholtz Centre for Environmental Research

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