World's Best Scientists 2026 revealed!
Lars Eklundh

Lars Eklundh

D-Index & Metrics

Environmental Sciences

D-Index
56
Citations
16600
World Ranking
3574
National Ranking
67

Lars Eklundh 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 Lars Eklundh 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: 143 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

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

Lars Eklundh 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 Lars Eklundh 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: 56 D-Index — 63rd percentile

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

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

Overview

Lars Eklundh is a researcher affiliated with Lund University in Sweden, specializing in Environmental Science with a focus on several related subfields. Their work encompasses Global and Planetary Change, Ecology, Atmospheric Science, Environmental Engineering, and Ecological Modeling.

Their research prominently addresses topics such as Remote Sensing in Agriculture, Plant Water Relations and Carbon Dynamics, Remote Sensing and LiDAR Applications, Hydrology and Drought Analysis, Land Use and Ecosystem Services, Climate Variability and Models, and Tree-ring Climate Responses.

Frequent publication venues for their work include Remote Sensing, SSRN Electronic Journal, Remote Sensing of Environment, International Journal of Applied Earth Observation and Geoinformation, and The Science of The Total Environment.

Notable recent papers authored by or including Lars Eklundh include:

  • Continental-scale land surface phenology from harmonized Landsat 8 and Sentinel-2 imagery (2020, Remote Sensing of Environment)
  • Global maps of soil temperature (2021, Global Change Biology)
  • Calibrating vegetation phenology from Sentinel-2 using eddy covariance, PhenoCam, and PEP725 networks across Europe (2021, Remote Sensing of Environment)
  • Assessing Forest Phenology: A Multi-Scale Comparison of Near-Surface (UAV, Spectral Reflectance Sensor, PhenoCam) and Satellite (MODIS, Sentinel-2) Remote Sensing (2021, Remote Sensing)
  • Features predisposing forest to bark beetle outbreaks and their dynamics during drought (2022, Forest Ecology and Management)

Lars Eklundh collaborates frequently with several researchers, including Hongxiao Jin, Zhanzhang Cai, Jonas Ardö, Feng Tian, and Sergio M. Vicente-Serrano.

Best Publications

  • A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter

    Jin Chen;Jin Chen;Per. Jönsson;Masayuki Tamura;Zhihui Gu

  • TIMESAT - a program for analyzing time-series of satellite sensor data

    Per Jönsson;Lars Eklundh

  • Seasonality extraction by function fitting to time-series of satellite sensor data

    P. Jonsson;L. Eklundh

  • A recent greening of the Sahel—trends, patterns and potential causes

    L Olsson;Lars Eklundh;Jonas Ardö

  • AVHRR Derived Phenological Change in the Sahel and Soudan, Africa, 1982 - 2005

    Ben Heumann;Jonathan Seaquist;Lars Eklundh;Per Jönsson

  • Vegetation index trends for the African Sahel 1982–1999

    Lars Eklundh;Lennart Olsson

  • Continental-scale land surface phenology from harmonized Landsat 8 and Sentinel-2 imagery

    Douglas K. Bolton;Josh M. Gray;Eli K. Melaas;Minkyu Moon

  • Detecting changes in vegetation trends using time series segmentation

    Sadegh Jamali;Per Jönsson;Lars Eklundh;Jonas Ardö

  • Precipitation controls Sahel greening trend

    Thomas Hickler;Lars Eklundh;Jonathan W. Seaquist;Benjamin Smith

  • Estimation of diurnal air temperature using MSG SEVIRI data in West Africa

    Simon Stisen;Inge Sandholt;Anette Nørgaard;Rasmus Fensholt

  • Performance of Smoothing Methods for Reconstructing NDVI Time-Series and Estimating Vegetation Phenology from MODIS Data

    Zhanzhang Cai;Per Jönsson;Hongxiao Jin;Lars Eklundh

  • A physically based vegetation index for improved monitoring of plant phenology

    Hongxiao Jin;Lars Eklundh

  • Impact of understory vegetation on forest canopy reflectance and remotely sensed LAI estimates

    Helena Margaretha Eriksson;Helena Margaretha Eriksson;Lars Eklundh;Lars Eklundh;Andres Kuusk;Tiit Nilson

  • Challenges for drought mitigation in Africa: The potential use of geospatial data and drought information systems

    Sergio M. Vicente-Serrano;Santiago Beguería;Luis Gimeno;Lars Eklundh

  • A comparative analysis of standardised and unstandardised Principal Components Analysis in remote sensing

    Lars Eklundh;Ashbindu Singh

  • Investigating relationships between Landsat ETM+ sensor data and leaf area index in a boreal conifer forest

    Lars Eklundh;Lars Harrie;Andres Kuusk

  • Mapping insect defoliation in Scots pine with MODIS time-series data

    Lars Eklundh;Thomas Johansson;Svein Solberg

  • Challenges and Best Practices for Deriving Temperature Data from an Uncalibrated UAV Thermal Infrared Camera

    Julia Kelly;Natascha Kljun;Per Ola Olsson;Laura Mihai

  • Annual changes in MODIS vegetation indices of Swedish coniferous forests in relation to snow dynamics and tree phenology

    Anna Maria Jönsson;Lars Eklundh;Margareta Hellström;Lars Bärring;Lars Bärring

  • Exploring the potential of MODIS EVI for modeling gross primary production across African ecosystems

    Martin Sjöström;Jonas Ardö;Almut Arneth;N. Boulain

  • Estimating relations between AVHRR NDVI and rainfall in East Africa at 10-day and monthly time scales

    Lars Eklundh

Frequent Co-Authors

Jonas Ardö
Jonas Ardö Lund University
Anders Lindroth
Anders Lindroth Lund University
Leif Klemedtsson
Leif Klemedtsson University of Gothenburg
Lennart Olsson
Lennart Olsson Lund University
Natascha Kljun
Natascha Kljun Lund University
Magnus Lund
Magnus Lund Aarhus University
Lena Ström
Lena Ström Karolinska Institute
Anna Maria Jönsson
Anna Maria Jönsson Lund University
Janne Rinne
Janne Rinne Lund University
Mark A. Friedl
Mark A. Friedl Boston University

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