World's Best Scientists 2026 revealed!
Michael S. Watt

Michael S. Watt

D-Index & Metrics

Plant Science and Agronomy

D-Index
41
Citations
5787
World Ranking
3745
National Ranking
43

Environmental Sciences

D-Index
42
Citations
5930
World Ranking
7478
National Ranking
45

Michael S. Watt publication distribution in Plant Science and Agronomy in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Plant Science and Agronomy in 2026. The highlighted bar marks where Michael S. Watt sits on this spectrum.

36–40 publications: 2 scientists 41–45 publications: 7 scientists 46–50 publications: 40 scientists 51–55 publications: 58 scientists 56–60 publications: 60 scientists 61–65 publications: 107 scientists 66–70 publications: 130 scientists 71–75 publications: 153 scientists 76–80 publications: 191 scientists 81–85 publications: 199 scientists 86–90 publications: 206 scientists 91–95 publications: 218 scientists 96–100 publications: 226 scientists 101–105 publications: 227 scientists 106–110 publications: 247 scientists 111–115 publications: 255 scientists 116–120 publications: 253 scientists 121–125 publications: 233 scientists 126–130 publications: 219 scientists 131–135 publications: 201 scientists 136–140 publications: 194 scientists 141–145 publications: 176 scientists 146–150 publications: 157 scientists 151–155 publications: 147 scientists 156–160 publications: 151 scientists 161–165 publications: 159 scientists 166–170 publications: 137 scientists 171–175 publications: 128 scientists 176–180 publications: 126 scientists 181–185 publications: 98 scientists 186–190 publications: 114 scientists 191–195 publications: 100 scientists 196–200 publications: 90 scientists 201–205 publications: 71 scientists 206–210 publications: 98 scientists 211–215 publications: 70 scientists 216–220 publications: 86 scientists 221–225 publications: 61 scientists 226–230 publications: 58 scientists 231–235 publications: 53 scientists 236–240 publications: 64 scientists 241–245 publications: 39 scientists 246–250 publications: 46 scientists 251–255 publications: 51 scientists 256–260 publications: 36 scientists 261–265 publications: 44 scientists 266–270 publications: 35 scientists 271–275 publications: 30 scientists 276–280 publications: 33 scientists 281–285 publications: 35 scientists 286–290 publications: 36 scientists 291–295 publications: 26 scientists 296–300 publications: 26 scientists 301–305 publications: 31 scientists 306–310 publications: 30 scientists 311–315 publications: 21 scientists 316–320 publications: 29 scientists 321–325 publications: 14 scientists 326–330 publications: 15 scientists 331–335 publications: 15 scientists 336–340 publications: 17 scientists 341–345 publications: 15 scientists 346–350 publications: 12 scientists 351–355 publications: 17 scientists 356–360 publications: 18 scientists 361–365 publications: 12 scientists 366–370 publications: 11 scientists 371–375 publications: 6 scientists 376–380 publications: 6 scientists 381–385 publications: 11 scientists 386–390 publications: 9 scientists 391–395 publications: 10 scientists 396–400 publications: 8 scientists 401–405 publications: 4 scientists 406–410 publications: 9 scientists 411–415 publications: 11 scientists 416–420 publications: 4 scientists 421–425 publications: 7 scientists 426–430 publications: 4 scientists 431–435 publications: 3 scientists 436–440 publications: 5 scientists 441–445 publications: 8 scientists 446–450 publications: 6 scientists 451–455 publications: 7 scientists 456–460 publications: 5 scientists 461–465 publications: 6 scientists 466 publications: 2 scientists 467+ publications: 99 scientists
36 publications 467+

This scientist: 176 publications — 69th percentile

69% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 467 publications or more.

Michael S. Watt D-index placement in Plant Science and Agronomy in 2026

The chart shows the D-index (discipline H-index) distribution of Plant Science and Agronomy scientists ranked by Research.com in 2026. The highlighted bar marks where Michael S. Watt sits on this spectrum.

30 D-Index: 200 scientists 31 D-Index: 236 scientists 32 D-Index: 253 scientists 33 D-Index: 283 scientists 34 D-Index: 288 scientists 35 D-Index: 240 scientists 36 D-Index: 246 scientists 37 D-Index: 243 scientists 38 D-Index: 247 scientists 39 D-Index: 229 scientists 40 D-Index: 232 scientists 41 D-Index: 230 scientists 42 D-Index: 228 scientists 43 D-Index: 219 scientists 44 D-Index: 193 scientists 45 D-Index: 164 scientists 46 D-Index: 158 scientists 47 D-Index: 143 scientists 48 D-Index: 131 scientists 49 D-Index: 127 scientists 50 D-Index: 122 scientists 51 D-Index: 122 scientists 52 D-Index: 110 scientists 53 D-Index: 102 scientists 54 D-Index: 98 scientists 55 D-Index: 79 scientists 56 D-Index: 85 scientists 57 D-Index: 88 scientists 58 D-Index: 91 scientists 59 D-Index: 62 scientists 60 D-Index: 61 scientists 61 D-Index: 59 scientists 62 D-Index: 54 scientists 63 D-Index: 61 scientists 64 D-Index: 59 scientists 65 D-Index: 58 scientists 66 D-Index: 41 scientists 67 D-Index: 49 scientists 68 D-Index: 39 scientists 69 D-Index: 32 scientists 70 D-Index: 40 scientists 71 D-Index: 47 scientists 72 D-Index: 38 scientists 73 D-Index: 28 scientists 74 D-Index: 29 scientists 75 D-Index: 28 scientists 76 D-Index: 22 scientists 77 D-Index: 21 scientists 78 D-Index: 25 scientists 79 D-Index: 26 scientists 80 D-Index: 19 scientists 81 D-Index: 16 scientists 82 D-Index: 12 scientists 83 D-Index: 16 scientists 84 D-Index: 14 scientists 85 D-Index: 11 scientists 86 D-Index: 17 scientists 87 D-Index: 13 scientists 88 D-Index: 10 scientists 89 D-Index: 12 scientists 90 D-Index: 18 scientists 91 D-Index: 16 scientists 92 D-Index: 16 scientists 93 D-Index: 17 scientists 94 D-Index: 12 scientists 95 D-Index: 8 scientists 96 D-Index: 9 scientists 97 D-Index: 9 scientists 98 D-Index: 11 scientists 99 D-Index: 12 scientists 100 D-Index: 5 scientists 101 D-Index: 8 scientists 102 D-Index: 4 scientists 103 D-Index: 11 scientists 104 D-Index: 5 scientists 105 D-Index: 9 scientists 106 D-Index: 7 scientists 107 D-Index: 4 scientists 108 D-Index: 8 scientists 109+ D-Index: 99 scientists
30 D-Index 109+

This scientist: 41 D-Index — 45th percentile

45% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 109 D-Index or more.

Overview

Michael S. Watt is affiliated with Scion in New Zealand and has contributed extensively to the field of environmental science, with a focus on ecological and remote sensing applications. Their research spans several subfields, including ecology, global and planetary change, environmental engineering, nature and landscape conservation, and plant science.

The scientist's work covers a broad range of topics related to forest and wetland ecosystems, remote sensing technologies, and environmental management. The main topics of their research include:

  • Remote Sensing and LiDAR Applications
  • Forest Ecology and Management
  • Remote Sensing in Agriculture
  • Forest Management and Policy
  • Coastal Wetland Ecosystem Dynamics
  • Forest Ecology and Biodiversity Studies
  • Leaf Properties and Growth Measurement

Michael S. Watt's publication record includes contributions to a variety of journals, with frequent publications in:

  • Remote Sensing (13 publications)
  • Forests (11 publications)
  • Forest Ecology and Management (7 publications)
  • SSRN Electronic Journal (5 publications)
  • Journal of Environmental Management (3 publications)

The scientist has collaborated regularly with several co-authors, including:

  • Midhun Mohan (21 collaborations)
  • Meshal M. Abdullah (12 collaborations)
  • Robin J. L. Hartley (12 collaborations)
  • Benjamin S.C. Steer (12 collaborations)
  • Grant D. Pearse (11 collaborations)

Some notable recent papers authored or co-authored by Michael S. Watt include:

  • "Detecting and mapping tree seedlings in UAV imagery using convolutional neural networks and field-verified data," 2020, ISPRS Journal of Photogrammetry and Remote Sensing
  • "Ecotourism and mangrove conservation in Southeast Asia: Current trends and perspectives," 2024, Journal of Environmental Management
  • "An Assessment of High-Density UAV Point Clouds for the Measurement of Young Forestry Trials," 2020, Remote Sensing
  • "Remote sensing-based assessment of mangrove ecosystems in the Gulf Cooperation Council countries: a systematic review," 2023, Frontiers in Marine Science
  • "Remote sensing-based mangrove blue carbon assessment in the Asia-Pacific: A systematic review," 2024, The Science of The Total Environment

Best Publications

  • Assessing very high resolution UAV imagery for monitoring forest health during a simulated disease outbreak

    Jonathan P. Dash;Michael S. Watt;Grant D. Pearse;Marie Heaphy

  • Influence of initial planting spacing and genotype on microfibril angle, wood density, fibre properties and modulus of elasticity in Pinus radiata D. Don corewood

    Jean-Pierre Lasserre;Euan G. Mason;Michael S. Watt;John R. Moore

  • The hosts and potential geographic range of Dothistroma needle blight

    Michael S. Watt;Darren J. Kriticos;Samantha Alcaraz;Anna V. Brown

  • UAV Multispectral Imagery Can Complement Satellite Data for Monitoring Forest Health

    Jonathan P. Dash;Grant D. Pearse;Michael S. Watt

  • Above-ground biomass accumulation and nitrogen fixation of broom (Cytisus scoparius L.) growing with juvenile Pinus radiata on a dryland site

    Michael S. Watt;Peter W. Clinton;David Whitehead;Brian Richardson

  • The effects of genotype and spacing on Pinus radiata [D. Don] corewood stiffness in an 11-year old experiment

    Jean-Pierre Lasserre;Euan G. Mason;Michael S. Watt

  • The influence of weed competition for light and water on growth and dry matter partitioning of young Pinus radiata, at a dryland site

    Michael S. Watt;David Whitehead;Euan G. Mason;Brian Richardson

  • Modelling the influence of stand structural, edaphic and climatic influences on juvenile Pinus radiata dynamic modulus of elasticity

    Michael S. Watt;John R. Moore;Jean-Philippe Façon;Geoff M. Downes

  • The Invasive Buddleja davidii (Butterfly Bush)

    Nita G. Tallent-Halsell;Nita G. Tallent-Halsell;Michael S. Watt

  • Defining sustainability of plantation forests through identification of site quality indicators influencing productivity--A national view for New Zealand.

    Michael S. Watt;Graham Coker;Peter W. Clinton;Murray R. Davis

  • Development of models to predict Pinus radiata productivity throughout New Zealand

    Michael S. WattM.S. Watt;Michael S. WattM.S. Watt;David J. PalmerD.J. Palmer;David J. PalmerD.J. Palmer;Mark O. KimberleyM.O. Kimberley;Mark O. KimberleyM.O. Kimberley;Barbara K. HöckB.K. Höck;Barbara K. HöckB.K. Höck

  • A global climatic risk assessment of pitch canker disease.

    Rebecca J. GanleyR.J. Ganley;Michael S. WattM.S. Watt;Lucy ManningL. Manning;Eugenia IturritxaE. Iturritxa

  • Dothistroma needle blight and pitch canker: the current and future potential distribution of two important diseases of Pinus species

    Michael S. WattM.S. Watt;Michael S. WattM.S. Watt;Rebecca J. GanleyR.J. Ganley;Rebecca J. GanleyR.J. Ganley;Darren J. KriticosD.J. Kriticos;Darren J. KriticosD.J. Kriticos;Lucy K. ManningL.K. Manning;Lucy K. ManningL.K. Manning

  • The influence of nitrogen and phosphorus supply and genotype on mesophyll conductance limitations to photosynthesis in Pinus radiata

    Horacio E. Bown;Michael S. Watt;Euan G. Mason;Peter W. Clinton

  • Quantitative validation and comparison of a range of forest growth model types

    Guy Pinjuv;Euan G. Mason;Mike Watt

  • Detecting and mapping tree seedlings in UAV imagery using convolutional neural networks and field-verified data

    Grant D. Pearse;Alan Y.S. Tan;Michael S. Watt;Matthias O. Franz

  • The current and future potential distribution of Cytisus scoparius: a weed of pastoral systems, natural ecosystems and plantation forestry

    K J B Potter;K J B Potter;D J Kriticos;M S Watt;A Leriche

  • What determines pine naturalization: species traits, climate suitability or forestry use?

    Kirsty F. McGregor;Michael S. Watt;Philip E. Hulme;Richard P. Duncan

  • Ecosystem carbon accretion 10 years after afforestation of depleted subhumid grassland planted with three densities of Pinus nigra

    Murray Davis;Alan Nordmeyer;David Henley;Michael Watt

  • Managing invasive weeds under climate change: considering the current and potential future distribution of Buddleja davidii

    D J Kriticos;D J Kriticos;M S Watt;K J B Potter;L K Manning

  • Influence of initial stand density and genotype on longitudinal variation in modulus of elasticity for 17-year-old Pinus radiata

    Matthew J. Waghorn;Euan G. Mason;Michael S. Watt

  • Comparison of spatial prediction techniques for developing Pinus radiata productivity surfaces across New Zealand

    David John Palmer;David John Palmer;Barbara K. Hock;Mark O. Kimberley;Michael S. Watt

  • Early Detection of Invasive Exotic Trees Using UAV and Manned Aircraft Multispectral and LiDAR Data

    Jonathan P. Dash;Michael S. Watt;Thomas S. H. Paul;Justin Morgenroth

  • The influence of wind on branch characteristics of Pinus radiata

    M. S. Watt;J. R. Moore;B. McKinlay

  • Assessing corewood acoustic velocity and modulus of elasticity with two impact based instruments in 11-year-old trees from a clonal-spacing experiment of Pinus radiata D. Don

    Jean-Pierre Lasserre;Euan G. Mason;Michael S. Watt

  • Moving beyond simple linear allometric relationships between tree height and diameter

    Michael S. Watt;Miko U.F. Kirschbaum

Frequent Co-Authors

Darren J. Kriticos
Darren J. Kriticos Commonwealth Scientific and Industrial Research Organisation
David Whitehead
David Whitehead Landcare Research
Roger L. Parfitt
Roger L. Parfitt Landcare Research
David J. Lowe
David J. Lowe University of Waikato
Pablo J. Zarco-Tejada
Pablo J. Zarco-Tejada Spanish National Research Council
Alastair W. Robertson
Alastair W. Robertson Massey University
Eckehard G. Brockerhoff
Eckehard G. Brockerhoff Swiss Federal Institute for Forest, Snow and Landscape Research
Miko U. F. Kirschbaum
Miko U. F. Kirschbaum Landcare Research

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing Michael S. Watt

Trending Scientists

Recently Published Articles