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Lammert Kooistra

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Environmental Sciences 52 4473 4281 119 113 238 10193

Lammert Kooistra publications per year

The chart shows the history of publications by Lammert Kooistra between 1999 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Lammert Kooistra published across 27 years, from 1999 to 2025, averaging 10.7 papers a year. Output peaked at 20 publications in 2023. 32 of the 290 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1999 to 2025. Vertical axis: number of publications, 0 to 20. Peak 20 publications in 2023. 1999: 1 publication 2000: 0 publications 2001: 3 publications 2002: 0 publications 2003: 4 publications 2004: 3 publications 2005: 9 publications 2006: 6 publications 2007: 13 publications 2008: 10 publications 2009: 13 publications 2010: 11 publications 2011: 15 publications 2012: 13 publications 2013: 16 publications 2014: 14 publications 2015: 18 publications 2016: 8 publications 2017: 17 publications 2018: 14 publications 2019: 17 publications 2020: 12 publications 2021: 10 publications 2022: 11 publications 2023: 20 publications 2024: 18 publications 2025: 14 publications
1999 2025

290 publications in total across all disciplines

View publications per year as a table
Lammert Kooistra: publications per year, 1999 to 2025
Year Publications
1999 1
2000 0
2001 3
2002 0
2003 4
2004 3
2005 9
2006 6
2007 13
2008 10
2009 13
2010 11
2011 15
2012 13
2013 16
2014 14
2015 18
2016 8
2017 17
2018 14
2019 17
2020 12
2021 10
2022 11
2023 20
2024 18
2025 14
Total 290
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Lammert Kooistra 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 Lammert Kooistra 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, 231–240 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: 238 publications — 75th percentile

75% 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
181–190 400
191–200 377
201–210 318
211–220 282
221–230 263
231–240 220 238
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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Lammert Kooistra 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 Lammert Kooistra 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, 52 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: 52 D-Index — 55th percentile

55% 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 52
53 217
54 198
55 177
56 202
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
Download as CSV

Overview

Lammert Kooistra is affiliated with Wageningen University & Research in the Netherlands. Their research focuses primarily on Environmental Science and Agricultural and Biological Sciences, with significant contributions in several subfields including Ecology, Plant Science, Environmental Engineering, Global and Planetary Change, and Agronomy and Crop Science.

The main topics covered in their work are related to Remote Sensing in Agriculture, Remote Sensing and LiDAR Applications, Smart Agriculture and AI, Leaf Properties and Growth Measurement, Plant Water Relations and Carbon Dynamics, Land Use and Ecosystem Services, and Robotics and Sensor-Based Localization.

Frequent co-authors in their publications include Christina Kallimani, Ramin Heidarian Dehkordi, F.K. van Evert, João Valente, and Bert Rijk.

Common publication venues for their research are:

  • Harvard Dataverse
  • SSRN Electronic Journal
  • Smart Agricultural Technology
  • Computers and Electronics in Agriculture
  • Remote Sensing

Recent papers by Lammert Kooistra include:

  • Orchard management with small unmanned aerial vehicles: a survey of sensing and analysis approaches, 2021, published in Precision Agriculture
  • Automated crop plant counting from very high-resolution aerial imagery, 2020, published in Precision Agriculture
  • Deep learning for automated detection of Drosophila suzukii: potential for UAV-based monitoring, 2020, published in Pest Management Science
  • Diurnal variation of sun-induced chlorophyll fluorescence of agricultural crops observed from a point-based spectrometer on a UAV, 2020, published in International Journal of Applied Earth Observation and Geoinformation
  • The role of soils in habitat creation, maintenance and restoration, 2021, published in Philosophical Transactions of the Royal Society B Biological Sciences

Best Publications

  • Using Hyperspectral Remote Sensing Data for Retrieving Canopy Chlorophyll and Nitrogen Content

    J. G. P. W. Clevers;L. Kooistra

  • Generation of Spectral–Temporal Response Surfaces by Combining Multispectral Satellite and Hyperspectral UAV Imagery for Precision Agriculture Applications

    Caroline M. Gevaert;Juha Suomalainen;Jing Tang;Lammert Kooistra

  • Using Sentinel-2 Data for Retrieving LAI and Leaf and Canopy Chlorophyll Content of a Potato Crop

    Jan G. P. W. Clevers;Lammert Kooistra;Marnix M. M. Van den Brande

  • Possibilities of visible–near-infrared spectroscopy for the assessment of soil contamination in river floodplains

    L Kooistra;R Wehrens;R.S.E.W Leuven;L.M.C Buydens

  • Robust monitoring of small-scale forest disturbances in a tropical montane forest using Landsat time series

    Ben DeVries;Jan Verbesselt;Lammert Kooistra;Martin Herold

  • Spectral reflectance based indices for soil organic carbon quantification

    H. M. Bartholomeus;M. E. Schaepman;L. Kooistra;Antoine Stevens

  • Comparing RIEGL RiCOPTER UAV LiDAR Derived Canopy Height and DBH with Terrestrial LiDAR.

    Benjamin Brede;Alvaro Lau;Alvaro Lau;Harm M. Bartholomeus;Lammert Kooistra

  • Estimating canopy water content using hyperspectral remote sensing data

    Jan G. P. W. Clevers;Lammert Kooistra;Michael E. Schaepman

  • Identification of soil heavy metal sources and improvement in spatial mapping based on soil spectral information: A case study in northwest China

    Tao Chen;Qingrui Chang;Jing Liu;J.G.P.W. Clevers

  • Assessing capacities of non-Annex I countries for national forest monitoring in the context of REDD+

    Erika Romijn;Martin Herold;Lammert Kooistra;Daniel Murdiyarso

  • Integrating remote sensing in Natura 2000 habitat monitoring: Prospects on the way forward

    Jeroen Vanden Borre;Desiré Paelinckx;Caspar A. Mücher;Lammert Kooistra

  • Improved estimation of leaf area index and leaf chlorophyll content of a potato crop using multi-angle spectral data – potential of unmanned aerial vehicle imagery

    Peter P.J. Roosjen;Benjamin Brede;Juha M. Suomalainen;Juha M. Suomalainen;Harm M. Bartholomeus

  • The potential of field spectroscopy for the assessment of sediment properties in river floodplains

    L Kooistra;J Wanders;G.F Epema;R.S.E.W Leuven

  • Exploring field vegetation reflectance as an indicator of soil contamination in river floodplains.

    L Kooistra;E.A.L Salas;J.G.P.W Clevers;R Wehrens

  • Non-destructive tree volume estimation through quantitative structure modelling: Comparing UAV laser scanning with terrestrial LIDAR

    Benjamin Brede;Kim Calders;Alvaro Lau;Pasi Raumonen

  • A Lightweight Hyperspectral Mapping System and Photogrammetric Processing Chain for Unmanned Aerial Vehicles

    Juha Suomalainen;Niels S. Anders;Shahzad Iqbal;Gerbert Roerink

  • Using spectral information from the NIR water absorption features for the retrieval of canopy water content

    Jan G. P. W. Clevers;Lammert Kooistra;Michael E. Schaepman

  • Biomass and Crop Height Estimation of Different Crops Using UAV-Based Lidar

    Jelle ten Harkel;Harm M. Bartholomeus;Lammert Kooistra

  • Soil Organic Carbon mapping of partially vegetated agricultural fields with imaging spectroscopy

    Harm M. Bartholomeus;Lammert Kooistra;Antoine Stevens;Martin van Leeuwen

  • Study of heavy metal contamination in river floodplains using the red-edge position in spectroscopic data

    J.G.P.W. Clevers;L. Kooistra;E.A.L. Salas

  • Environmental risk mapping of pollutants: State of the art and communication aspects

    Joost Lahr;Lammert Kooistra

Frequent Co-Authors

Michael E. Schaepman
Michael E. Schaepman University of Zurich
Jan G. P. W. Clevers
Jan G. P. W. Clevers Wageningen University & Research
Juha Suomalainen
Juha Suomalainen Wageningen University & Research
Harm Bartholomeus
Harm Bartholomeus Wageningen University & Research
Martin Herold
Martin Herold Wageningen University & Research
Lutgarde M. C. Buydens
Lutgarde M. C. Buydens Radboud University
Jan Verbesselt
Jan Verbesselt Wageningen University & Research
Okke Batelaan
Okke Batelaan Flinders University
Paul Scheunders
Paul Scheunders University of Antwerp
Rob S. E. W. Leuven
Rob S. E. W. Leuven Radboud University

External Links

Personal website of Lammert Kooistra Google Scholar page

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Related Online Degrees & Career Pathways

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Best Scientists Citing Lammert Kooistra

Martin Herold

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Wageningen University & Research

Publications: 75

Jochem Verrelst

Jochem Verrelst

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Andrew K. Skidmore

Andrew K. Skidmore

University of Twente

Publications: 50

Michael E. Schaepman

Michael E. Schaepman

University of Zurich

Publications: 34

Jose Moreno

Jose Moreno

University of Valencia

Publications: 29

Jan Verbesselt

Jan Verbesselt

Wageningen University & Research

Publications: 24

Roshanak Darvishzadeh

Roshanak Darvishzadeh

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Publications: 23

Susan L. Ustin

Susan L. Ustin

University of California, Davis

Publications: 22

Jan G. P. W. Clevers

Jan G. P. W. Clevers

Wageningen University & Research

Publications: 22

Harm Bartholomeus

Harm Bartholomeus

Wageningen University & Research

Publications: 21

Wenjiang Huang

Wenjiang Huang

Chinese Academy of Sciences

Publications: 21

Eija Honkavaara

Eija Honkavaara

Finnish Geospatial Research Institute

Publications: 21

Abdul Mounem Mouazen

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Eyal Ben-Dor

Eyal Ben-Dor

Tel Aviv University

Publications: 18

Cécile Gomez

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Publications: 18

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