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Engineering and Technology
Finland
2026
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Environmental Sciences
Finland
2026

D-Index & Metrics

Environmental Sciences

D-Index
93
Citations
28978
World Ranking
523
National Ranking
9

Engineering and Technology

D-Index
91
Citations
28200
World Ranking
251
National Ranking
2

Juha Hyyppä publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Juha Hyyppä sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 513 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Juha Hyyppä D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Juha Hyyppä sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 91 D-Index — 98th percentile

98% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in Finland Leader Award
  • 2026 - Research.com Environmental Sciences in Finland Leader Award
  • 2025 - Research.com Engineering and Technology in Finland Leader Award
  • 2025 - Research.com Environmental Sciences in Finland Leader Award
  • 2023 - Research.com Engineering and Technology in Finland Leader Award
  • 2023 - Research.com Environmental Sciences in Finland Leader Award
  • 2022 - Research.com Engineering and Technology in Finland Leader Award
  • 2022 - Research.com Environmental Sciences in Finland Leader Award

Overview

Juha Hyyppä is affiliated with the Finnish Geospatial Research Institute in Finland and has contributed extensively to research in environmental science and engineering. Their work primarily focuses on remote sensing technologies, forest ecology, and geospatial data applications.

Their research spans several main fields of study, including:

  • Environmental Science
  • Engineering

Within these fields, they have engaged deeply with subfields such as:

  • Environmental Engineering
  • Nature and Landscape Conservation
  • Geology
  • Insect Science
  • Ecology

Their main research topics emphasize:

  • Remote Sensing and LiDAR Applications
  • Forest ecology and management
  • 3D Surveying and Cultural Heritage
  • Forest Ecology and Biodiversity Studies
  • Remote Sensing in Agriculture
  • Indoor and Outdoor Localization Technologies
  • Robotics and Sensor-Based Localization

Juha Hyyppä has published in numerous scientific venues, with frequent contributions to:

  • Remote Sensing
  • ISPRS Journal of Photogrammetry and Remote Sensing
  • ISPRS Open Journal of Photogrammetry and Remote Sensing
  • SSRN Electronic Journal
  • The "international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences

Their recent papers include:

  • Registration of large-scale terrestrial laser scanner point clouds: A review and benchmark, 2020, ISPRS Journal of Photogrammetry and Remote Sensing
  • Under-canopy UAV laser scanning for accurate forest field measurements, 2020, ISPRS Journal of Photogrammetry and Remote Sensing
  • Accurate derivation of stem curve and volume using backpack mobile laser scanning, 2020, ISPRS Journal of Photogrammetry and Remote Sensing
  • Comparison of Backpack, Handheld, Under-Canopy UAV, and Above-Canopy UAV Laser Scanning for Field Reference Data Collection in Boreal Forests, 2020, Remote Sensing
  • Close-Range Remote Sensing of Forests: The state of the art, challenges, and opportunities for systems and data acquisitions, 2022, IEEE Geoscience and Remote Sensing Magazine

Throughout their career, Juha Hyyppä has collaborated frequently with several researchers, notably:

  • Antero Kukko
  • Harri Kaartinen
  • Mikko Vastaranta
  • Yuwei Chen
  • Ville Kankare

Best Publications

  • A segmentation-based method to retrieve stem volume estimates from 3-D tree height models produced by laser scanners

    J. Hyyppa;O. Kelle;M. Lehikoinen;M. Inkinen

  • Terrestrial laser scanning in forest inventories

    Xinlian Liang;Xinlian Liang;Ville Kankare;Ville Kankare;Juha Hyyppä;Juha Hyyppä;Yunsheng Wang;Yunsheng Wang

  • 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

  • An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning

    Harri Kaartinen;Juha Hyyppä;Xiaowei Yu;Mikko Vastaranta

  • Accuracy comparison of various remote sensing data sources in the retrieval of forest stand attributes

    Juha Hyyppä;Hannu Hyyppä;Mikko Inkinen;Marcus Engdahl

  • Remote sensing methods for power line corridor surveys

    Leena Matikainen;Matti Lehtomäki;Eero Ahokas;Juha Hyyppä

  • International benchmarking of terrestrial laser scanning approaches for forest inventories

    Xinlian Liang;Juha Hyyppä;Harri Kaartinen;Harri Kaartinen;Matti Lehtomäki

  • Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging

    Olli Nevalainen;Eija Honkavaara;Sakari Tuominen;Niko Viljanen

  • Predicting individual tree attributes from airborne laser point clouds based on the random forests technique

    Xiaowei Yu;Juha Hyyppä;Mikko Vastaranta;Markus Holopainen

  • 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

  • Mini-UAV-Borne LIDAR for Fine-Scale Mapping

    Yi Lin;J Hyyppä;A Jaakkola

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

    Xiaowei Yu;Juha Hyyppä;Harri Kaartinen;Matti Maltamo

  • A low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements

    Anttoni Jaakkola;Juha Hyyppä;Antero Kukko;Xiaowei Yu

  • Registration of large-scale terrestrial laser scanner point clouds: A review and benchmark

    Zhen Dong;Fuxun Liang;Bisheng Yang;Yusheng Xu

  • Is field-measured tree height as reliable as believed – A comparison study of tree height estimates from field measurement, airborne laser scanning and terrestrial laser scanning in a boreal forest

    Yunsheng Wang;Yunsheng Wang;Matti Lehtomäki;Matti Lehtomäki;Xinlian Liang;Xinlian Liang;Jiri Pyörälä;Jiri Pyörälä;Jiri Pyörälä

  • Automatic Stem Mapping Using Single-Scan Terrestrial Laser Scanning

    Xinlian Liang;P. Litkey;J. Hyyppa;H. Kaartinen

  • Individual tree biomass estimation using terrestrial laser scanning

    Ville Kankare;Markus Holopainen;Mikko Vastaranta;Eetu Puttonen

  • 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

Frequent Co-Authors

Hannu Hyyppä
Hannu Hyyppä Aalto University
Harri Kaartinen
Harri Kaartinen University of Turku
Markus Holopainen
Markus Holopainen University of Helsinki
Antero Kukko
Antero Kukko Aalto University
Mikko Vastaranta
Mikko Vastaranta University of Eastern Finland
Anttoni Jaakkola
Anttoni Jaakkola Finnish Geospatial Research Institute
Xiaowei Yu
Xiaowei Yu Finnish Geospatial Research Institute
Petteri Alho
Petteri Alho University of Turku
Xinlian Liang
Xinlian Liang Finnish Geospatial Research Institute
Eija Honkavaara
Eija Honkavaara Finnish Geospatial Research Institute

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