World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
63
Citations
14251
World Ranking
2475
National Ranking
32

Matti Maltamo 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 Matti Maltamo 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: 267 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Matti Maltamo 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 Matti Maltamo 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: 63 D-Index — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Overview

Matti Maltamo is affiliated with the University of Eastern Finland in Finland. Their research is primarily situated within the field of Environmental Science, with a particular emphasis on Environmental Engineering, Nature and Landscape Conservation, Insect Science, Ecology, and Global and Planetary Change.

The scientist's work covers a wide range of topics, including:

  • Remote Sensing and LiDAR Applications
  • Forest ecology and management
  • Forest Ecology and Biodiversity Studies
  • Remote Sensing in Agriculture
  • Forest Management and Policy
  • Species Distribution and Climate Change
  • Fire effects on ecosystems

Matti Maltamo has contributed to research published in frequent venues such as:

  • Silva Fennica
  • Canadian Journal of Forest Research
  • Forestry An International Journal of Forest Research
  • Metsätieteen aikakauskirja
  • Forest Ecology and Management

Notable recent papers include:

  • "Standardizing Ecosystem Morphological Traits from 3D Information Sources" (2020) in Trends in Ecology & Evolution
  • "From comprehensive field inventories to remotely sensed wall-to-wall stand attribute data - a brief history of management inventories in the Nordic countries" (2020) in Canadian Journal of Forest Research
  • "Comparison of linear regression, k-nearest neighbour and random forest methods in airborne laser-scanning-based prediction of growing stock" (2020) in Forestry An International Journal of Forest Research
  • "Assessing biodiversity using forest structure indicators based on airborne laser scanning data" (2023) in Forest Ecology and Management
  • "Determining maximum entropy in 3D remote sensing height distributions and using it to improve aboveground biomass modelling via stratification" (2021) in Remote Sensing of Environment

Frequent co-authors include:

  • Petteri Packalén
  • Lauri Korhonen
  • Mikko Kukkonen
  • Lauri Mehtätalo
  • Janne Toivonen

Best Publications

  • Review of methods of small-footprint airborne laser scanning for extracting forest inventory data in boreal forests

    J. Hyyppä;H. Hyyppä;D. Leckie;F. Gougeon

  • Laser scanning of forest resources: the nordic experience

    Erik Næsset;Terje Gobakken;Johan Holmgren;Hannu Hyyppä

  • Airborne discrete-return LIDAR data in the estimation of vertical canopy cover, angular canopy closure and leaf area index

    Lauri Korhonen;Ilkka Korpela;Janne Heiskanen;Matti Maltamo

  • Comparative testing of single-tree detection algorithms under different types of forest

    Jari Vauhkonen;Liviu Ene;Sandeep Gupta;Johannes Heinzel

  • Estimation of timber volume and stem density based on scanning laser altimetry and expected tree size distribution functions

    Matti Maltamo;Kalle Eerikäinen;Juho Pitkänen;Juha Hyyppä

  • Forestry Applications of Airborne Laser Scanning

    Matti Maltamo;Erik Næsset;Jari Vauhkonen

  • Automatic detection of harvested trees and determination of forest growth using airborne laser scanning

    Xiaowei Yu;Juha Hyyppä;Harri Kaartinen;Matti Maltamo

  • Forest inventory: methodology and applications.

    Annika Kangas;Matti Maltamo

  • The k-MSN method for the prediction of species-specific stand attributes using airborne laser scanning and aerial photographs

    Petteri Packalén;Matti Maltamo

  • Tree species classification using airborne LiDAR - effects of stand and tree parameters, downsizing of training set, intensity normalization, and sensor type

    Ilkka Korpela;Hans Ole Ørka;Matti Maltamo;Timo Tokola

  • The accuracy of estimating individual tree variables with airborne laser scanning in a boreal nature reserve

    M Maltamo;K Mustonen;J Hyyppä;J Pitkänen

  • Identifying and quantifying structural characteristics of heterogeneous boreal forests using laser scanner data

    M. Maltamo;P. Packalén;X. Yu;K. Eerikäinen

  • Imputation of single-tree attributes using airborne laser scanning-based height, intensity, and alpha shape metrics

    Jari Vauhkonen;Ilkka Korpela;Matti Maltamo;Timo Tokola

  • Algorithms and methods of airborne laser-scanning for forest measurements

    Juha Hyyppä;Hannu Hyyppä;Paula Litkey;Xiaowei Yu

  • Estimation of stem volume using laser scanning-based canopy height metrics

    Matti Maltamo;Kalle Eerikäinen;Petteri Packalén;Juha Hyyppä

  • Nonparametric estimation of stem volume using airborne laser scanning, aerial photography, and stand-register data

    M Maltamo;J Malinen;P Packalén;A Suvanto

  • Remote sensing and forest inventories in Nordic countries – roadmap for the future

    Annika Kangas;Rasmus Andreas Astrup;Johannes Breidenbach;Jonas Fridman

  • Forestry applications of airborne laser scanning : concepts and case studies

    Matti Maltamo;Erik Næsset;Jari Vauhkonen

  • Comparison of beta and weibull functions for modelling basal area diameter distribution in stands of pinus sylvestris and picea abies

    Matti Maltamo;Janna Puumalainen;Risto Päivinen

  • Methods based on k-nearest neighbor regression in the prediction of basal area diameter distribution

    Matti Maltamo;Annika Kangas

  • Comparison of percentile based prediction methods and the Weibull distribution in describing the diameter distribution of heterogeneous Scots pine stands

    Matti Maltamo;Annika Kangas;Janne Uuttera;Tatu Torniainen

Frequent Co-Authors

Juha Hyyppä
Juha Hyyppä Finnish Geospatial Research Institute
Ruben Valbuena
Ruben Valbuena Bangor University
Erik Næsset
Erik Næsset Norwegian University of Life Sciences
Terje Gobakken
Terje Gobakken Norwegian University of Life Sciences
Xiaowei Yu
Xiaowei Yu Finnish Geospatial Research Institute
Hannu Hyyppä
Hannu Hyyppä Aalto University
Ole Martin Bollandsås
Ole Martin Bollandsås Norwegian University of Life Sciences
Harri Kaartinen
Harri Kaartinen University of Turku
Heli Peltola
Heli Peltola University of Eastern Finland
Svein Solberg
Svein Solberg Norwegian Institute of Bioeconomy 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:

Related Online Degrees & Career Pathways

Pursuing a career in Environmental Sciences often intersects with various disciplines that enrich your understanding and job prospects. For example, many students explore online geology programs to gain insights into earth processes, minerals, and natural resources, crucial for environmental assessment and management.

Geographic data plays a vital role in environmental planning and conservation efforts. Programs recognized as the best GIS schools offer specialized training in Geographic Information Systems, equipping graduates with skills in mapping and spatial analysis essential to tackling environmental challenges.

Leadership and policy knowledge are equally important for driving systemic environmental change. Students may consider enrolling in a one year MPA to quickly develop public administration expertise tailored for environmental policymaking and management roles.

Understanding social dynamics is critical in addressing environmental issues that affect communities. An online bachelors degree programs in sociology provide valuable perspectives on human behavior and social structures, complementing scientific knowledge with insights on environmental justice and community engagement.

Best Scientists Citing Matti Maltamo

Trending Scientists

Recently Published Articles