World's Best Scientists 2026 revealed!

D-Index & Metrics

Plant Science and Agronomy

D-Index
54
Citations
10165
World Ranking
1711
National Ranking
53

Kenji Omasa 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 Kenji Omasa 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: 236 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

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

Kenji Omasa 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 Kenji Omasa 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: 54 D-Index — 75th percentile

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

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Botany
  • Ecology
  • Artificial intelligence

Kenji Omasa mainly focuses on Botany, Remote sensing, Lidar, Canopy and Germination. His work on Thematic Mapper is typically connected to Universal Soil Loss Equation as part of general Remote sensing study, connecting several disciplines of science. His Lidar study integrates concerns from other disciplines, such as Zelkova, Mean squared error, Scale, Leaf area density and Voxel.

His Canopy study incorporates themes from Kyoto Protocol, Carbon stock, Zenith, Biogeochemical cycle and Carbon sink. His research in Germination intersects with topics in Salinity and Seedling. His study in Stamen is interdisciplinary in nature, drawing from both Dehiscence and Cultivar.

His most cited work include:

  • Voxel-Based 3-D Modeling of Individual Trees for Estimating Leaf Area Density Using High-Resolution Portable Scanning Lidar (260 citations)
  • Integrated effects of air pollution and climate change on forests: a northern hemisphere perspective. (232 citations)
  • 3D lidar imaging for detecting and understanding plant responses and canopy structure (229 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Remote sensing, Botany, Lidar, Photosynthesis and Chlorophyll fluorescence. His work deals with themes such as Pixel and Vegetation, which intersect with Remote sensing. The Botany study which covers Ozone that intersects with Deciduous.

His study looks at the intersection of Lidar and topics like Canopy with Leaf area index. As a member of one scientific family, Kenji Omasa mostly works in the field of Photosynthesis, focusing on Fluorescence and, on occasion, Electron transport chain. His Chlorophyll fluorescence study deals with Photosystem II intersecting with Photochemistry.

He most often published in these fields:

  • Remote sensing (31.12%)
  • Botany (23.65%)
  • Lidar (14.52%)

What were the highlights of his more recent work (between 2009-2021)?

  • Remote sensing (31.12%)
  • Lidar (14.52%)
  • Vegetation (11.20%)

In recent papers he was focusing on the following fields of study:

The scientist’s investigation covers issues in Remote sensing, Lidar, Vegetation, Remote sensing and Artificial intelligence. Kenji Omasa performs integrative study on Remote sensing and Spectral index. His Lidar research includes elements of Leaf area density, Canopy, Resolution and Ginkgo.

His study in the field of Normalized Difference Vegetation Index also crosses realms of Shore. His study looks at the relationship between Remote sensing and topics such as Laser-induced fluorescence, which overlap with Chlorophyll. His Artificial intelligence study combines topics in areas such as Linear regression, Computer vision and Pattern recognition.

Between 2009 and 2021, his most popular works were:

  • Estimating rice chlorophyll content and leaf nitrogen concentration with a digital still color camera under natural light. (104 citations)
  • Estimation of soil moisture using optical/thermal infrared remote sensing in the Canadian Prairies (73 citations)
  • Comparative evaluation of the Vegetation Dryness Index (VDI), the Temperature Vegetation Dryness Index (TVDI) and the improved TVDI (iTVDI) for water stress detection in semi-arid regions of Iran (73 citations)

In his most recent research, the most cited papers focused on:

  • Botany
  • Ecology
  • Artificial intelligence

Kenji Omasa mainly investigates Remote sensing, Lidar, Botany, Canopy and Vegetation. The various areas that Kenji Omasa examines in his Remote sensing study include 3D modeling, Plant breeding, Mean squared error, Multi camera and Lens. Within one scientific family, Kenji Omasa focuses on topics pertaining to Broad-leaved tree under Lidar, and may sometimes address concerns connected to Volume, Voxel, Volume estimation and Solid modeling.

Kenji Omasa works mostly in the field of Botany, limiting it down to topics relating to Ozone and, in certain cases, Horticulture, Vapour Pressure Deficit and Atmospheric sciences, as a part of the same area of interest. His Canopy research is multidisciplinary, relying on both Area density, Laser beams, Resolution and Leaf area index. His Vegetation study combines topics from a wide range of disciplines, such as Chlorophyll and Chlorophyll content.

Best Publications

  • Voxel-Based 3-D Modeling of Individual Trees for Estimating Leaf Area Density Using High-Resolution Portable Scanning Lidar

    F. Hosoi;K. Omasa

  • 3D lidar imaging for detecting and understanding plant responses and canopy structure

    Kenji Omasa;Fumiki Hosoi;Atsumi Konishi

  • The Difference in Sterility due to High Temperatures during the Flowering Period among Japonica-Rice Varieties

    Tsutomu Matsui;Kenji Omasa;Takeshi Horie

  • Integrated effects of air pollution and climate change on forests: a northern hemisphere perspective.

    Andrzej Bytnerowicz;Kenji Omasa;Elena Paoletti

  • Rice (Oryza sativa L.) Cultivars Tolerant to High Temperature at Flowering: Anther Characteristics

    Tsutomu Matsui;Kenji Omasa

  • Estimation of vegetation parameter for modeling soil erosion using linear Spectral Mixture Analysis of Landsat ETM data

    Alejandro M. de Asis;Kenji Omasa

  • High temperature at flowering inhibits swelling of pollen grains, a driving force for thecae dehiscence in rice (Oryza sativa L.)

    Tsutomu Matsui;Kenji Omasa;Takeshi Horie

  • Estimating rice chlorophyll content and leaf nitrogen concentration with a digital still color camera under natural light.

    Yuan Wang;Dejian Wang;Peihua Shi;Kenji Omasa

  • Seed Germination and Radicle Growth of a Halophyte, Kalidium caspicum (Chenopodiaceae)

    Kazuo Tobe;Xaioming Li;Kenji Omasa

  • High Temperature-Induced Spikelet Sterility of Japonica Rice at Flowering in Relation to Air Temperature, Humidity and Wind Velocity Conditions

    Tsutomu Matsui;Kenji Omasa;Takeshi Horie

  • Responses of plant metabolism to air pollution and global change

    K. Omasa;I. Nouchi;E. Goto;K. Oki;K. Oki

  • Image Analysis of Chlorophyll Fluorescence Transients for Diagnosing the Photosynthetic System of Attached Leaves

    Kenji Omasa;Ken-Ichiro Shimazaki;Ichiro Aiga;Walter Larcher

  • Factors contributing to accuracy in the estimation of the woody canopy leaf area density profile using 3D portable lidar imaging

    Fumiki Hosoi;Kenji Omasa

  • Estimating vertical plant area density profile and growth parameters of a wheat canopy at different growth stages using three-dimensional portable lidar imaging

    Fumiki Hosoi;Kenji Omasa

  • Estimation of soil moisture using optical/thermal infrared remote sensing in the Canadian Prairies

    Parinaz Rahimzadeh-Bajgiran;Aaron A. Berg;Catherine Champagne;Kenji Omasa

  • Comparative evaluation of the Vegetation Dryness Index (VDI), the Temperature Vegetation Dryness Index (TVDI) and the improved TVDI (iTVDI) for water stress detection in semi-arid regions of Iran

    Parinaz Rahimzadeh-Bajgiran;Kenji Omasa;Yo Shimizu

  • Effects of sodium chloride on seed germination and growth of two Chinese desert shrubs, Haloxylon ammodendron and H. persicum(Chenopodiaceae)

    Kazuo Tobe;Xiaoming Li;Kenji Omasa

  • Mechanism of Anther Dehiscence in Rice (Oryza sativa L.)

    T. Matsui;K. Omasa;T. Horie

  • Characteristics of seed germination in five non-halophytic Chinese desert shrub species

    Kazuo Tobe;Liping Zhang;Guoyu Yu Qiu;Hideyuki Shimizu

  • Seed germination and seedling emergence of three annuals growing on desert sand dunes in China

    Kazuo Tobe;Liping Zhang;Kenji Omasa

  • Simultaneous measurement of stomatal conductance, non-photochemical quenching, and photochemical yield of photosystem II in intact leaves by thermal and chlorophyll fluorescence imaging.

    Kenji Omasa;Kotaro Takayama

  • 3-D voxel-based solid modeling of a broad-leaved tree for accurate volume estimation using portable scanning lidar

    Fumiki Hosoi;Yohei Nakai;Kenji Omasa

Frequent Co-Authors

Takeshi Horie
Takeshi Horie Kyoto University
Izumi Washitani
Izumi Washitani Chuo University
Elena Paoletti
Elena Paoletti National Research Council (CNR)
Atsushi Tsunekawa
Atsushi Tsunekawa Tottori University
Masayuki Takigawa
Masayuki Takigawa Japan Agency for Marine-Earth Science and Technology
Masashi Tsuda
Masashi Tsuda Kōchi University
Kiyoshi Tanaka
Kiyoshi Tanaka Shinshu University
Ken-ichiro Shimazaki
Ken-ichiro Shimazaki Kyushu University
Jun Kawabata
Jun Kawabata Hokkaido University
C. Barry Osmond
C. Barry Osmond Australian National University

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