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Hailemariam Temesgen

Hailemariam Temesgen

D-Index & Metrics

Ecology and Evolution

D-Index
34
Citations
3978
World Ranking
7681
National Ranking
2580

Hailemariam Temesgen publication distribution in Ecology and Evolution in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Ecology and Evolution in 2026. The highlighted bar marks where Hailemariam Temesgen sits on this spectrum.

37–41 publications: 2 scientists 42–46 publications: 9 scientists 47–51 publications: 10 scientists 52–56 publications: 31 scientists 57–61 publications: 56 scientists 62–66 publications: 91 scientists 67–71 publications: 92 scientists 72–76 publications: 127 scientists 77–81 publications: 173 scientists 82–86 publications: 236 scientists 87–91 publications: 227 scientists 92–96 publications: 240 scientists 97–101 publications: 333 scientists 102–106 publications: 280 scientists 107–111 publications: 300 scientists 112–116 publications: 285 scientists 117–121 publications: 305 scientists 122–126 publications: 287 scientists 127–131 publications: 278 scientists 132–136 publications: 289 scientists 137–141 publications: 273 scientists 142–146 publications: 262 scientists 147–151 publications: 246 scientists 152–156 publications: 235 scientists 157–161 publications: 205 scientists 162–166 publications: 199 scientists 167–171 publications: 174 scientists 172–176 publications: 164 scientists 177–181 publications: 173 scientists 182–186 publications: 189 scientists 187–191 publications: 170 scientists 192–196 publications: 139 scientists 197–201 publications: 128 scientists 202–206 publications: 117 scientists 207–211 publications: 115 scientists 212–216 publications: 107 scientists 217–221 publications: 124 scientists 222–226 publications: 81 scientists 227–231 publications: 82 scientists 232–236 publications: 85 scientists 237–241 publications: 75 scientists 242–246 publications: 66 scientists 247–251 publications: 81 scientists 252–256 publications: 69 scientists 257–261 publications: 70 scientists 262–266 publications: 55 scientists 267–271 publications: 64 scientists 272–276 publications: 49 scientists 277–281 publications: 48 scientists 282–286 publications: 44 scientists 287–291 publications: 45 scientists 292–296 publications: 36 scientists 297–301 publications: 39 scientists 302–306 publications: 38 scientists 307–311 publications: 30 scientists 312–316 publications: 34 scientists 317–321 publications: 25 scientists 322–326 publications: 22 scientists 327–331 publications: 28 scientists 332–336 publications: 30 scientists 337–341 publications: 22 scientists 342–346 publications: 30 scientists 347–351 publications: 26 scientists 352–356 publications: 22 scientists 357–361 publications: 29 scientists 362–366 publications: 21 scientists 367–371 publications: 12 scientists 372–376 publications: 18 scientists 377–381 publications: 17 scientists 382–386 publications: 13 scientists 387–391 publications: 21 scientists 392–396 publications: 13 scientists 397–401 publications: 10 scientists 402–406 publications: 15 scientists 407–411 publications: 8 scientists 412–416 publications: 9 scientists 417–421 publications: 8 scientists 422–426 publications: 4 scientists 427–431 publications: 10 scientists 432–436 publications: 10 scientists 437–441 publications: 5 scientists 442–446 publications: 4 scientists 447–451 publications: 10 scientists 452–456 publications: 2 scientists 457–461 publications: 4 scientists 462–466 publications: 7 scientists 467–471 publications: 7 scientists 472–476 publications: 6 scientists 477–481 publications: 6 scientists 482–486 publications: 3 scientists 487–491 publications: 3 scientists 492–496 publications: 4 scientists 497–501 publications: 4 scientists 502–506 publications: 8 scientists 507–511 publications: 5 scientists 512–516 publications: 4 scientists 517–521 publications: 5 scientists 522–526 publications: 4 scientists 527–530 publications: 5 scientists 531+ publications: 100 scientists
37 publications 531+

This scientist: 107 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 531 publications or more.

Hailemariam Temesgen D-index placement in Ecology and Evolution in 2026

The chart shows the D-index (discipline H-index) distribution of Ecology and Evolution scientists ranked by Research.com in 2026. The highlighted bar marks where Hailemariam Temesgen sits on this spectrum.

30 D-Index: 95 scientists 31 D-Index: 123 scientists 32 D-Index: 191 scientists 33 D-Index: 245 scientists 34 D-Index: 252 scientists 35 D-Index: 244 scientists 36 D-Index: 249 scientists 37 D-Index: 244 scientists 38 D-Index: 254 scientists 39 D-Index: 254 scientists 40 D-Index: 280 scientists 41 D-Index: 274 scientists 42 D-Index: 266 scientists 43 D-Index: 233 scientists 44 D-Index: 248 scientists 45 D-Index: 208 scientists 46 D-Index: 201 scientists 47 D-Index: 213 scientists 48 D-Index: 207 scientists 49 D-Index: 172 scientists 50 D-Index: 209 scientists 51 D-Index: 199 scientists 52 D-Index: 153 scientists 53 D-Index: 169 scientists 54 D-Index: 163 scientists 55 D-Index: 148 scientists 56 D-Index: 120 scientists 57 D-Index: 146 scientists 58 D-Index: 137 scientists 59 D-Index: 140 scientists 60 D-Index: 104 scientists 61 D-Index: 119 scientists 62 D-Index: 118 scientists 63 D-Index: 99 scientists 64 D-Index: 77 scientists 65 D-Index: 100 scientists 66 D-Index: 86 scientists 67 D-Index: 83 scientists 68 D-Index: 75 scientists 69 D-Index: 94 scientists 70 D-Index: 57 scientists 71 D-Index: 68 scientists 72 D-Index: 59 scientists 73 D-Index: 63 scientists 74 D-Index: 66 scientists 75 D-Index: 60 scientists 76 D-Index: 42 scientists 77 D-Index: 49 scientists 78 D-Index: 39 scientists 79 D-Index: 37 scientists 80 D-Index: 43 scientists 81 D-Index: 41 scientists 82 D-Index: 45 scientists 83 D-Index: 34 scientists 84 D-Index: 40 scientists 85 D-Index: 35 scientists 86 D-Index: 55 scientists 87 D-Index: 24 scientists 88 D-Index: 24 scientists 89 D-Index: 30 scientists 90 D-Index: 23 scientists 91 D-Index: 25 scientists 92 D-Index: 27 scientists 93 D-Index: 27 scientists 94 D-Index: 13 scientists 95 D-Index: 23 scientists 96 D-Index: 12 scientists 97 D-Index: 14 scientists 98 D-Index: 19 scientists 99 D-Index: 16 scientists 100 D-Index: 14 scientists 101 D-Index: 5 scientists 102 D-Index: 21 scientists 103 D-Index: 16 scientists 104 D-Index: 10 scientists 105 D-Index: 7 scientists 106 D-Index: 7 scientists 107 D-Index: 7 scientists 108 D-Index: 6 scientists 109 D-Index: 9 scientists 110 D-Index: 11 scientists 111 D-Index: 12 scientists 112 D-Index: 9 scientists 113 D-Index: 7 scientists 114 D-Index: 3 scientists 115 D-Index: 8 scientists 116 D-Index: 5 scientists 117 D-Index: 11 scientists 118 D-Index: 4 scientists 119 D-Index: 2 scientists 120 D-Index: 5 scientists 121+ D-Index: 100 scientists
30 D-Index 121+

This scientist: 34 D-Index — 11th percentile

11% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 121 D-Index or more.

Overview

Hailemariam Temesgen is affiliated with Oregon State University in the United States. Their research primarily focuses on Environmental Science with a significant emphasis on forest ecology and management as well as remote sensing technologies.

Their publication record includes contributions to several prominent journals. Frequent venues for their work include:

  • Remote Sensing
  • Forest Ecology and Management
  • Frontiers in Forests and Global Change
  • International Journal of Applied Earth Observation and Geoinformation
  • Forests

Hailemariam Temesgen's research spans multiple subfields such as:

  • Nature and Landscape Conservation
  • Environmental Engineering
  • Global and Planetary Change
  • Ecology
  • Ecological Modeling

The scientist's main topics of interest include:

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

Recent published papers reflective of these focus areas include:

  • "Spatiotemporal image fusion in Google Earth Engine for annual estimates of land surface phenology in a heterogenous landscape," 2021, published in International Journal of Applied Earth Observation and Geoinformation
  • "Regional Modeling of Forest Fuels and Structural Attributes Using Airborne Laser Scanning Data in Oregon," 2021, published in Remote Sensing
  • "Deep learning models for improved reliability of tree aboveground biomass prediction in the tropical evergreen broadleaf forests," 2022, published in Forest Ecology and Management
  • "Using Fay-Herriot Models and Variable Radius Plot Data to Develop a Stand-Level Inventory and Update a Prior Inventory in the Western Cascades, OR, United States," 2021, published in Frontiers in Forests and Global Change
  • "Model-Based Estimation of Forest Inventory Attributes Using Lidar: A Comparison of the Area-Based and Semi-Individual Tree Crown Approaches," 2020, published in Remote Sensing

The scientist frequently collaborates with other researchers including:

  • Francisco Mauro
  • Bryce Frank
  • Krishna P. Poudel
  • Andrew T. Hudak
  • Patrick A. Fekety

Best Publications

  • Generalized height–diameter models—an application for major tree species in complex stands of interior British Columbia

    H. Temesgen;K. v. Gadow

  • The roles of nearest neighbor methods in imputing missing data in forest inventory and monitoring databases

    Bianca N. I. Eskelson;Hailemariam Temesgen;Valerie Lemay;Tara M. Barrett

  • A review of the challenges and opportunities in estimating above ground forest biomass using tree-level models

    Hailemariam Temesgen;David Affleck;Krishna Poudel;Andrew Gray

  • Analysis and comparison of nonlinear tree height prediction strategies for Douglas-fir forests

    H. Temesgen;H. Temesgen;V.J. Monleon;V.J. Monleon;D.W. Hann;D.W. Hann

  • Comparison of Nearest Neighbor Methods for Estimating Basal Area and Stems per Hectare Using Aerial Auxiliary Variables

    Valerie LeMay;Hailemariam Temesgen

  • Empirical modeling of cutblock edge windthrow risk on Vancouver Island, Canada, using stand level information

    Unknown

  • Tree crown ratio models for multi-species and multi-layered stands of southeastern British Columbia

    Hailemariam Temesgen;Valerie LeMay;Stephen J. Mitchell

  • A Call to Improve Methods for Estimating Tree Biomass for Regional and National Assessments

    Aaron R. Weiskittel;David W. MacFarlane;Philip J. Radtke;David L.R. Affleck

  • Analysis of potential impacts of climate change on forests of the United States Pacific Northwest

    Gregory Latta;Hailemariam Temesgen;Darius M. Adams;Tara Barrett

  • Modelling tree height–diameter relationships in multi-species and multi-layered forests: A large observational study from Northeast China

    H. Temesgen;C.H. Zhang;X.H. Zhao

  • Sources of Variation in the Self-Thinning Boundary Line for Three Species with Varying Levels of Shade Tolerance

    Aaron Weiskittel;Peter Gould;Hailemariam Temesgen

  • Regional height-diameter equations for major tree species of southwest Oregon.

    Hailemariam Temesgen;David W. Hann;Vincente J. Monleon

  • Variable selection strategies for nearest neighbor imputation methods used in remote sensing based forest inventory

    Petteri Packalén;Hailemariam Temesgen;Matti Maltamo

  • Using multilevel remote sensing and ground data to estimate forest biomass resources in remote regions: a case study in the boreal forests of interior Alaska

    Hans-Erik Andersen;Jacob Strunk;Hailemariam Temesgen;Donald Atwood

  • Using Airborne Light Detection and Ranging as a Sampling Tool for Estimating Forest Biomass Resources in the Upper Tanana Valley of Interior Alaska

    Hans-Erik Andersen;Jacob Strunk;Hailemariam Temesgen

  • Imputing tree-lists from aerial attributes for complex stands of south-eastern British Columbia

    H Temesgen;V.M LeMay;K.L Froese;P.L Marshall

  • Effects of lidar pulse density and sample size on a model-assisted approach to estimate forest inventory variables

    Jacob Strunk;Hailemariam Temesgen;Hans-Erik Andersen;James P. Flewelling

  • An Individual-Tree Mortality Model for Complex Stands of Southeastern British Columbia

    Hailemariam Temesgen;Stephen J. Mitchell

  • Mapping and imputing potential productivity of Pacific Northwest forests using climate variables

    Gregory LattaG. Latta;Hailemariam TemesgenH. Temesgen;Tara M. BarrettT.M. Barrett

  • Evaluation of sampling strategies to estimate crown biomass

    Krishna P Poudel;Hailemariam Temesgen;Andrew N Gray

  • A comparison of small-area estimation techniques to estimate selected stand attributes using LiDAR-derived auxiliary variables

    Michael E. Goerndt;Vicente J. Monleon;Hailemariam Temesgen

  • Spatiotemporal image fusion in Google Earth Engine for annual estimates of land surface phenology in a heterogenous landscape

    Ty C. Nietupski;Robert E. Kennedy;Hailemariam Temesgen;Becky K. Kerns

  • A Comparison of the Spatial Linear Model to Nearest Neighbor (k-NN) Methods for Forestry Applications

    Jay M. Ver Hoef;Hailemariam Temesgen

  • Allometric equations for estimating tree aboveground biomass in evergreen broadleaf forests of Viet Nam

    Bao Huy;Karin Kralicek;Krishna P. Poudel;Vu Tan Phuong

Frequent Co-Authors

Aaron R. Weiskittel
Aaron R. Weiskittel University of Maine
Andrew N. Gray
Andrew N. Gray US Forest Service
Andrew T. Hudak
Andrew T. Hudak US Forest Service
Thomas Hilker
Thomas Hilker Oregon State University
Matti Maltamo
Matti Maltamo University of Eastern Finland
Klaus von Gadow
Klaus von Gadow Stellenbosch University
Harold E. Burkhart
Harold E. Burkhart Virginia Tech
Robert E. Kennedy
Robert E. Kennedy Oregon State University
John W. Coulston
John W. Coulston US Forest Service
Douglas A. Maguire
Douglas A. Maguire Oregon State University

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Related Online Degrees & Career Pathways

If you’re interested in Ecology and Evolution, you may also want to explore career pathways in human services, psychology, or counseling. These fields often cross over with ecological studies, especially in roles that focus on community well-being, environmental health, and education.

For professionals passionate about supporting children and youth in their development, consider child psychology masters programs online. These programs build expertise in understanding young minds within various environments, including natural and community settings.

If your interests lean toward providing guidance or support, look into counseling masters programs online. Counseling skills are valuable for those who wish to help individuals and communities cope with environmental changes or advocate for mental health in conservation efforts.

Understanding behavior and mental health at a clinical level can be a game-changer. Online options such as an online master in clinical psychology can prepare you for specialized roles in research or applied settings, sometimes linking ecological and psychological health.

Finally, degree options like a human services online program can launch diverse careers in advocacy, policy, or social work—fields increasingly influenced by ecological awareness and sustainability initiatives.

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