Nicholas C. Coops

Active 1995–2026

132
Papers
18,592
Citations
56
h-index
105
i10-index

Citations

Citations per year for Nicholas C. Coops1997: 2 citations2000: 4 citations2002: 6 citations2003: 5 citations2004: 10 citations2005: 9 citations2006: 13 citations2007: 19 citations2008: 30 citations2009: 32 citations2010: 44 citations2011: 41 citations2012: 96 citations2013: 96 citations2014: 153 citations2015: 196 citations2016: 233 citations2017: 264 citations2018: 356 citations2019: 513 citations2020: 549 citations2021: 529 citations2022: 546 citations2023: 413 citations2024: 394 citations2025: 218 citations2026: 46 citations1998–1999: no citations, so these years are not shown2001: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 1,068 citing papers, 16% of this breakdownUnited States: 1,052 citing papers, 15.7% of this breakdownCanada: 409 citing papers, 6.1% of this breakdownGermany: 368 citing papers, 5.5% of this breakdownUnited Kingdom: 328 citing papers, 4.9% of this breakdownAustralia: 315 citing papers, 4.7% of this breakdownSpain: 271 citing papers, 4.1% of this breakdownItaly: 264 citing papers, 3.9% of this breakdownFrance: 217 citing papers, 3.2% of this breakdownNetherlands: 160 citing papers, 2.4% of this breakdownFinland: 153 citing papers, 2.3% of this breakdownSwitzerland: 135 citing papers, 2% of this breakdown
0%16%Other 29.2%

Fields

  • Environmental Science77.3%
  • Engineering10.8%
  • Computer Science3.5%
  • Earth and Planetary Sciences3%
  • Agricultural and Biological Sciences1.8%
  • Biochemistry, Genetics and Molecular Biology1.2%
  • Other2.4%

Topics

  • Remote Sensing in Agriculture17.7%
  • Remote Sensing and LiDAR Applications15.9%
  • Forest ecology and management6%
  • Land Use and Ecosystem Services5%
  • Remote-Sensing Image Classification4.4%
  • Species Distribution and Climate Change4.4%
  • Other46.6%

Coauthors

All papers

Open in search
  1. lidR: An R package for analysis of Airborne Laser Scanning (ALS) data

    Authors: , , , , , , , , - Remote Sensing of Environment 2020 cited by 972

  2. Modelling lidar-derived estimates of forest attributes over space and time: A review of approaches and future trends

    Authors: , , , , , , , , , - Remote Sensing of Environment 2021 cited by 382

  3. Essential Biodiversity Variables

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Martin Wegmann - Science 2013 cited by 1,640

  4. Remote Sensing Technologies for Enhancing Forest Inventories: A Review

    Authors: , , , , , - Canadian Journal of Remote Sensing 2016 cited by 806

  5. A new data fusion model for high spatial- and temporal-resolution mapping of forest disturbance based on Landsat and MODIS

    Authors: , , , , , , , - Remote Sensing of Environment 2009 cited by 702

  6. Lidar sampling for large-area forest characterization: A review

    Authors: , , , , , , , , - Remote Sensing of Environment 2012 cited by 748

  7. Priority list of biodiversity metrics to observe from space

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Martin Wegmann, Vladimir Wingate - Nature Ecology & Evolution 2021 cited by 277

  8. Pixel-Based Image Compositing for Large-Area Dense Time Series Applications and Science

    Authors: , , , , , , , , , , - Canadian Journal of Remote Sensing 2014 cited by 447

  9. Monitoring biodiversity in the Anthropocene using remote sensing in species distribution models

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , - Remote Sensing of Environment 2020 cited by 271

  10. Mapping urban tree species using integrated airborne hyperspectral and LiDAR remote sensing data

    Authors: , , , - Remote Sensing of Environment 2017 cited by 264

  11. Regional detection, characterization, and attribution of annual forest change from 1984 to 2012 using Landsat-derived time-series metrics

    Authors: , , , , - Remote Sensing of Environment 2015 cited by 319

  12. Large-area mapping of Canadian boreal forest cover, height, biomass and other structural attributes using Landsat composites and lidar plots

    Authors: , , , , , , - Remote Sensing of Environment 2018 cited by 289

  13. Tree species classification using UAS-based digital aerial photogrammetry point clouds and multispectral imageries in subtropical natural forests

    Authors: , , , , , , , , , , - International Journal of Applied Earth Observation and Geoinformation, Int. J. Appl. Earth Obs. Geoinformation 2020 cited by 89

  14. Maintaining accurate, current, rural road network data: An extraction and updating routine using RapidEye, participatory GIS and deep learning

    Authors: , , , - International Journal of Applied Earth Observation and Geoinformation, Int. J. Appl. Earth Obs. Geoinformation 2019 cited by 57

  15. Land cover 2.0

    Authors: , , , , - International Journal of Remote Sensing 2018 cited by 401

  16. Virtual constellations for global terrestrial monitoring

    Authors: , , , , , , - Remote Sensing of Environment 2015 cited by 215

  17. An Efficient Protocol to Process Landsat Images for Change Detection With Tasselled Cap Transformation

    Authors: , , , , , - IEEE Geoscience and Remote Sensing Letters, IEEE Geosci. Remote. Sens. Lett. 2007 cited by 80

  18. A nationwide annual characterization of 25 years of forest disturbance and recovery for Canada using Landsat time series

    Authors: , , , , - Remote Sensing of Environment 2017 cited by 397

  19. Estimating canopy structure of Douglas-fir forest stands from discrete-return LiDAR

    Authors: , , , , , , - Trees 2007 cited by 363

  20. Estimating burn severity from Landsat dNBR and RdNBR indices across western Canada

    Authors: , , - Remote Sensing of Environment 2010 cited by 287

  21. Mass data processing of time series Landsat imagery: pixels to data products for forest monitoring

    Authors: , , , , , - International Journal of Digital Earth, Int. J. Digit. Earth 2016 cited by 285

  22. Disturbance-Informed Annual Land Cover Classification Maps of Canada's Forested Ecosystems for a 29-Year Landsat Time Series

    Authors: , , , , - Canadian Journal of Remote Sensing 2018 cited by 244

  23. Environmental science: Agree on biodiversity metrics to track from space

    Authors: , , , , , , , , , , , , , - Nature 2015 cited by 417

  24. A best practices guide for generating forest inventory attributes from airborne laser scanning data using an area-based approach

    Authors: , , , , , , , - The Forestry Chronicle 2013 cited by 332