World's Best Scientists 2026 revealed!
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Environmental Sciences
Germany
2023

D-Index & Metrics

Environmental Sciences

D-Index
64
Citations
26032
World Ranking
2275
National Ranking
154

Hans Peter Schmid 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 Hans Peter Schmid 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: 153 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Hans Peter Schmid 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 Hans Peter Schmid 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: 64 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2023 - Research.com Environmental Sciences in Germany Leader Award

Overview

Hans Peter Schmid is affiliated with the Karlsruhe Institute of Technology in Germany. Their research primarily spans the fields of Environmental Science and Medicine, with a focus on subfields such as Global and Planetary Change, Pulmonary and Respiratory Medicine, Ecology, Water Science and Technology, and Atmospheric Science.

The research work of Hans Peter Schmid addresses a variety of topics within environmental and medical sciences. Main topics of their work include Atmospheric and Environmental Gas Dynamics, Climate Variability and Models, Peatlands and Wetlands Ecology, Hydrology and Watershed Management Studies, Prostate Cancer Treatment and Research, Cryospheric Studies and Observations, and Soil Moisture and Remote Sensing.

Hans Peter Schmid has several recent notable publications, including:

  • Substantial hysteresis in emergent temperature sensitivity of global wetland CH4 emissions, 2021, Nature Communications
  • Causality guided machine learning model on wetland CH4 emissions across global wetlands, 2022, Agricultural and Forest Meteorology
  • Fifteen Years of Integrated Terrestrial Environmental Observatories (TERENO) in Germany: Functions, Services, and Lessons Learned, 2024, Earth s Future
  • Commentaries on Top-Cited Boundary-Layer Meteorology Articles, 2020, Boundary-Layer Meteorology
  • LPG and Prechamber as Enabler for Highly Performant and Efficient Combustion Processes Under Stoichiometric Conditions, 2021, SAE technical papers on CD-ROM/SAE technical paper series

The frequent co-authors collaborating with Hans Peter Schmid include Sophie C. Kunte, Torsten Sachs, Jozefina Casuscelli, W. J. Riley, and Sara Knox.

The scientist's work has appeared in various publication venues, notably:

  • Nature Communications
  • Agricultural and Forest Meteorology
  • Earth s Future
  • Boundary-Layer Meteorology
  • SAE technical papers on CD-ROM/SAE technical paper series

Best Publications

  • FLUXNET: A New Tool to Study the Temporal and Spatial Variability of Ecosystem-Scale Carbon Dioxide, Water Vapor, and Energy Flux Densities

    Dennis Baldocchi;Eva Falge;Lianhong Gu;Richard Olson

  • The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

    Gilberto Pastorello;Carlo Trotta;Eleonora Canfora;Housen Chu

  • Increase in forest water-use efficiency as atmospheric carbon dioxide concentrations rise

    Trevor F. Keenan;David Y. Hollinger;Gil Bohrer;Danilo Dragoni

  • Net carbon uptake has increased through warming-induced changes in temperate forest phenology

    Trevor F. Keenan;Trevor F. Keenan;Josh Gray;Mark A. Friedl;Michael Toomey

  • A Simple Parameterisation for Flux Footprint Predictions

    Natascha Kljun;P. Calanca;M.W. Rotach;H.P Schmid

  • A simple two-dimensional parameterisation for Flux Footprint Prediction (FFP)

    Natascha Kljun;P. Calanca;M.W. Rotach;Hans Peter Schmid

  • Source areas for scalars and scalar fluxes

    Hans Peter Schmid

  • Observed increase in local cooling effect of deforestation at higher latitudes

    Xuhui Lee;Michael L. Goulden;David Y. Hollinger;Alan Barr

  • Footprint modeling for vegetation atmosphere exchange studies: a review and perspective

    Hans Peter Schmid

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

    Matthias Mauder;Matthias Cuntz;Clemens Drüe;Alexander Graf

  • A Network of Terrestrial Environmental Observatories in Germany

    Steffen Zacharias;Heye Bogena;Luis Samaniego;Matthias Mauder

  • Measurements of CO2 and energy fluxes over a mixed hardwood forest in the mid-western United States

    H. P. Schmid

  • Experimental design for flux measurements: matching scales of observations and fluxes

    Hans Peter Schmid;Hans Peter Schmid

  • Biometric and eddy-covariance based estimates of annual carbon storage in five eastern North American deciduous forests

    Peter S. Curtis;Paul J. Hanson;Paul Bolstad;Carol Barford

  • A new model of gross primary productivity for North American ecosystems based solely on the enhanced vegetation index and land surface temperature from MODIS

    Daniel A. Sims;Abdullah F. Rahman;Vicente D. Cordova;Bassil Z. El-Masri

  • On the use of MODIS EVI to assess gross primary productivity of North American ecosystems

    Daniel A. Sims;Abdullah F. Rahman;Vicente D. Cordova;Bassil Z. El-Masri

  • Canopy nitrogen, carbon assimilation, and albedo in temperate and boreal forests: Functional relations and potential climate feedbacks

    S. V. Ollinger;A. D. Richardson;M. E. Martin;D. Y. Hollinger

  • A THREE-DIMENSIONAL BACKWARD LAGRANGIAN FOOTPRINT MODEL FOR A WIDE RANGE OF BOUNDARY-LAYER STRATIFICATIONS

    Natascha Kljun;M.W. Rotach;H.P Schmid

  • Evidence of increased net ecosystem productivity associated with a longer vegetated season in a deciduous forest in south‐central Indiana, USA

    Danilo Dragoni;Hans Peter Schmid;Craig A. Wayson;Henry Potter

  • Estimation of Net Ecosystem Carbon Exchange for the Conterminous United States by Combining MODIS and AmeriFlux Data

    Jingfeng Xiao;Qianlai Zhuang;Dennis D. Baldocchi;Beverly E. Law

  • Net Carbon Uptake Has Increased through Warming-Induced Changes in Temperate Forest Phenology

    T. F. Keenan;A. D. Richardson;J. M. Gray;M. A. Friedl

Frequent Co-Authors

Matthias Mauder
Matthias Mauder Karlsruhe Institute of Technology
David Y. Hollinger
David Y. Hollinger US Forest Service
Danilo Dragoni
Danilo Dragoni Indiana University
Ankur R. Desai
Ankur R. Desai University of Wisconsin–Madison
Peter S. Curtis
Peter S. Curtis The Ohio State University
Walter C. Oechel
Walter C. Oechel San Diego State University
Paul V. Bolstad
Paul V. Bolstad University of Minnesota
C. S. B. Grimmond
C. S. B. Grimmond University of Reading
Christoph S. Vogel
Christoph S. Vogel University of Michigan–Ann Arbor
Russell K. Monson
Russell K. Monson University of Colorado Boulder

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