World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
46
Citations
8210
World Ranking
6077
National Ranking
90

Erkki Tomppo 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 Erkki Tomppo 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: 120 publications — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Erkki Tomppo 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 Erkki Tomppo 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: 46 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Overview

Erkki Tomppo is affiliated with the University of Helsinki in Finland and has contributed to the field of environmental science through research focused on remote sensing and its applications. Their work spans several subfields including environmental engineering, ecology, aerospace engineering, global and planetary change, and atmospheric science.

Their primary research interests center around remote sensing and LiDAR applications, remote sensing in agriculture, soil geostatistics and mapping, synthetic aperture radar (SAR) applications and techniques, remote sensing and land use, landslides and related hazards, and remote-sensing image classification.

Frequent coauthors collaborating with Tomppo include Ronald E. McRoberts, Jaan Praks, Oleg Antropov, Ghasem Ronoud, and Ali Asghar Darvishsefat.

Erkki Tomppo has published in a range of scientific journals, with the most frequent publication venues being:

  • Remote Sensing
  • Canadian Journal of Remote Sensing
  • Forest Ecosystems
  • bioRxiv (Cold Spring Harbor Laboratory)
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Some notable recent papers authored or coauthored by Tomppo include:

  • Detection of Forest Windstorm Damages with Multitemporal SAR Data-A Case Study: Finland, 2021, Remote Sensing
  • Land Use/Land Cover Mapping Using Multitemporal Sentinel-2 Imagery and Four Classification Methods-A Case Study from Dak Nong, Vietnam, 2020, Remote Sensing
  • Multi-Sensor Aboveground Biomass Estimation in the Broadleaved Hyrcanian Forest of Iran, 2021, Canadian Journal of Remote Sensing
  • A century of national forest inventories - informing past, present and future decisions, 2021, Forest Ecosystems
  • Remote Sensing Support for the Gain-Loss Approach for Greenhouse Gas Inventories, 2020, Remote Sensing

Best Publications

  • Estimating carbon accumulation rates of undrained mires in Finland–application to boreal and subarctic regions:

    Jukka Turunen;Erkki Tomppo;Kimmo Tolonen;Antti Reinikainen

  • Remote sensing support for national forest inventories

    Ronald E. McRoberts;Erkki O. Tomppo

  • Combining national forest inventory field plots and remote sensing data for forest databases

    Erkki Tomppo;Håkan Olsson;Göran Ståhl;Mats Nilsson

  • Using coarse scale forest variables as ancillary information and weighting of variables in k-NN estimation: a genetic algorithm approach

    Erkki Tomppo;Merja Halme

  • Specialist species of wood-inhabiting fungi struggle while generalists thrive in fragmented boreal forests

    Jenni Nordén;Jenni Nordén;Reijo Penttilä;Juha Siitonen;Erkki Tomppo

  • Estimating areal means and variances of forest attributes using the k-Nearest Neighbors technique and satellite imagery

    Ronald E. McRoberts;Erkki O. Tomppo;Andrew O. Finley;Juha Heikkinen

  • Selecting estimation parameters for the Finnish multisource National Forest Inventory

    Matti Katila;Erkki Tomppo

  • Multi-source national forest inventory of Finland.

    Erkki Tomppo

  • Advances and emerging issues in national forest inventories

    Ronald E. McRoberts;Erkki O. Tomppo;Erik. Naesset

  • A meta-analysis and review of the literature on the k-Nearest Neighbors technique for forestry applications that use remotely sensed data

    Gherardo Chirici;Matteo Mura;Daniel McInerney;Nicolas Py

  • Finnish National Forest Inventory

    Erkki Tomppo

  • Simultaneous use of Landsat-TM and IRS-1C WiFS data in estimating large area tree stem volume and aboveground biomass

    Erkki Tomppo;Mats Nilsson;Mats Rosengren;Paula Aalto

  • Using remotely sensed data to construct and assess forest attribute maps and related spatial products

    Ronald E. McRoberts;Warren B. Cohen;Erik Naesset;Stephen V. Stehman

  • Common tree definitions for National Forest Inventories in Europe.

    Thomas Gschwantner;Klemens Schadauer;Claude Vidal;Adrian Lanz

  • Designing and Conducting a Forest Inventory - case: 9th National Forest Inventory of Finland

    Erkki Tomppo;Juha Heikkinen;Helena M. Henttonen;Antti Ihalainen

  • The national forest inventory in China: history - results - international context

    WeiSheng Zeng;Erkki Tomppo;Sean P. Healey;Klaus V. Gadow;Klaus V. Gadow;Klaus V. Gadow

  • A questionnaire-based review of the operational use of remotely sensed data by national forest inventories

    Frank Barrett;Ronald E. McRoberts;Erkki Tomppo;Emil Cienciala

  • Possibilities for harmonizing national forest inventory data for use in forest biodiversity assessments

    Susanne Winter;Gherardo Chirici;Ronald E. McRoberts;Elmar Hauk

  • Applying spatial conservation prioritization software and high-resolution GIS data to a national-scale study in forest conservation

    Joona Lehtomäki;Erkki Tomppo;Panu Kuokkanen;Ilkka Hanski

  • Land Use/Land Cover Mapping Using Multitemporal Sentinel-2 Imagery and Four Classification Methods—A Case Study from Dak Nong, Vietnam

    Huong Thi Thanh Nguyen;Trung Minh Doan;Erkki Tomppo;Ronald E. McRoberts

  • Predicting categorical forest variables using an improved k-Nearest Neighbour estimator and Landsat imagery

    Erkki O. Tomppo;Caterina Gagliano;Flora De Natale;Matti Katila

  • Adapting Finnish Multi-Source Forest Inventory Techniques to the New Zealand Preharvest Inventory

    Erkki Tomppo;Chris Goulding;Matti Katila

Frequent Co-Authors

Ronald E. McRoberts
Ronald E. McRoberts University of Minnesota
Göran Ståhl
Göran Ståhl Swedish University of Agricultural Sciences
Gherardo Chirici
Gherardo Chirici University of Florence
Emil Cienciala
Emil Cienciala Czech Academy of Sciences
Atte Moilanen
Atte Moilanen University of Helsinki
Kalle Ruokolainen
Kalle Ruokolainen Aarhus University
Mats Nilsson
Mats Nilsson Swedish University of Agricultural Sciences
Sylvain Leduc
Sylvain Leduc Federal Reserve Bank of San Francisco
Erik Næsset
Erik Næsset Norwegian University of Life Sciences
Hanna Tuomisto
Hanna Tuomisto University of Helsinki

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