Koreen Millard

1.8k total citations · 1 hit paper
32 papers, 1.3k citations indexed

About

Koreen Millard is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Koreen Millard has authored 32 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Ecology, 14 papers in Global and Planetary Change and 13 papers in Environmental Engineering. Recurrent topics in Koreen Millard's work include Peatlands and Wetlands Ecology (11 papers), Remote Sensing and LiDAR Applications (7 papers) and Climate change and permafrost (7 papers). Koreen Millard is often cited by papers focused on Peatlands and Wetlands Ecology (11 papers), Remote Sensing and LiDAR Applications (7 papers) and Climate change and permafrost (7 papers). Koreen Millard collaborates with scholars based in Canada, United States and Switzerland. Koreen Millard's co-authors include Murray Richardson, Sarah Banks, Jon Pasher, Lori White, Amir Behnamian, Jason Duffe, Anna M. Redden, Dan K. Thompson, Marc‐André Parisien and Heather Stewart and has published in prestigious journals such as Remote Sensing of Environment, Global Change Biology and Remote Sensing.

In The Last Decade

Koreen Millard

30 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

On the Importance of Training Data Sample Selection in Random Forest Image Classification: A Case Study in Peatland Ecosystem Mapping

2015 451 citations Koreen Millard, Murray Richardson Remote Sensing profile →

Peers

Countries citing papers authored by Koreen Millard

Since Specialization

Citations

This map shows the geographic impact of Koreen Millard's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Koreen Millard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koreen Millard more than expected).

Fields of papers citing papers by Koreen Millard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Koreen Millard. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Koreen Millard. The network helps show where Koreen Millard may publish in the future.

Co-authorship network of co-authors of Koreen Millard

This figure shows the co-authorship network connecting the top 25 collaborators of Koreen Millard. A scholar is included among the top collaborators of Koreen Millard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Koreen Millard. Koreen Millard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	A tool for global and regional Landsat 7 and Landsat 8 cross-sensor harmonization 2025 ·Geocarto International ·(unknown), Anders Knudby, Koreen Millard, Wenjun Chen	0
2	New insights into distinguishing temperate deciduous swamps from upland forests and shrublands with SAR 2024 ·Remote Sensing of Environment ·Sarah Banks, Koreen Millard, Laura Dingle Robertson, Jason Duffe	0
3	A hierarchical, multi‐sensor framework for peatland sub‐class and vegetation mapping throughout the Canadian boreal forest 2024 ·Remote Sensing in Ecology and Conservation ·(unknown), Koreen Millard, Dan K. Thompson, Luc Guindon, André Beaudoin	11
4	Investigating the Use of Sentinel-1 for Improved Mapping of Small Peatland Water Bodies: Towards Wildfire Susceptibility Monitoring in Canada’s Boreal Forest 2023 ·Hydrology ·(unknown), Koreen Millard, (unknown), René Chénier	3
5	Wildfire likelihood in Canadian treed peatlands based on remote-sensing time-series of surface conditions 2023 ·Remote Sensing of Environment ·Nicolas Pelletier, Koreen Millard, (unknown)	11
6	CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders 2023 ·(unknown), (unknown), Koreen Millard	1
7	A map of global peatland extent created using machine learning (Peat-ML) 2022 ·Geoscientific model development ·Joe R. Melton, Ed Chan, Koreen Millard, (unknown), R. Scott Winton, (unknown), Hinsby Cadillo‐Quiroz, Darren Kidd, Louis Verchot	42
8	Loss of the world's smallest forests 2022 ·Global Change Biology ·Federico Riva, (unknown), Koreen Millard, Lenore Fahrig	23
9	Seasonally-decomposed Sentinel-1 backscatter time-series are useful indicators of peatland wildfire vulnerability 2022 ·Remote Sensing of Environment ·Koreen Millard, (unknown), Nicolas Pelletier, (unknown)	9
10	Remote Sensing of Boreal Wetlands 2: Methods for Evaluating Boreal Wetland Ecosystem State and Drivers of Change 2020 ·Remote Sensing ·L. Chasmer, Craig Mahoney, Koreen Millard, (unknown), Daniel L. Peters, (unknown), Chris Hopkinson, Brian Brisco, (unknown), Joshua Montgomery, K. J. Devito, Danielle Cobbaert	49
11	Remote Sensing of Boreal Wetlands 1: Data Use for Policy and Management 2020 ·Remote Sensing ·L. Chasmer, Danielle Cobbaert, Craig Mahoney, Koreen Millard, Daniel L. Peters, K. J. Devito, Brian Brisco, Chris Hopkinson, (unknown), Joshua Montgomery, (unknown), (unknown)	27
12	Using Growing-Season Time Series Coherence for Improved Peatland Mapping: Comparing the Contributions of Sentinel-1 and RADARSAT-2 Coherence in Full and Partial Time Series 2020 ·Remote Sensing ·Koreen Millard, Patrick Kirby, (unknown), Amir Behnamian, Sarah Banks, Fabrizio Pacini	14
13	Dimensionality Reduction in The Presence of Highly Correlated Variables for Random Forests: Wetland Case Study 2019 ·Amir Behnamian, Sarah Banks, Lori White, Koreen Millard, Darren Pouliot, Jon Pasher, Jason Duffe	5
14	Big geospatial data analysis for Canada’s Air Pollutant Emissions Inventory (APEI): using google earth engine to estimate particulate matter from exposed mine disturbance areas 2019 ·GIScience & Remote Sensing ·(unknown), Koreen Millard, (unknown)	27
15	Semi-Automated Surface Water Detection with Synthetic Aperture Radar Data: A Wetland Case Study 2017 ·Remote Sensing ·Amir Behnamian, Sarah Banks, Lori White, Brian Brisco, Koreen Millard, Jon Pasher, Zhaohua Chen, Jason Duffe, Laura Bourgeau‐Chavez, Michael Battaglia	40
16	A Systematic Approach for Variable Selection With Random Forests: Achieving Stable Variable Importance Values 2017 ·IEEE Geoscience and Remote Sensing Letters ·Amir Behnamian, Koreen Millard, Sarah Banks, Lori White, Murray Richardson, Jon Pasher	99
17	Fuel accumulation in a high-frequency boreal wildfire regime: from wetland to upland 2017 ·Canadian Journal of Forest Research ·Dan K. Thompson, Marc‐André Parisien, Jean‐François Morin, Koreen Millard, Chris P. S. Larsen, Brian N. Simpson	38
18	Assessing the Potential to Operationalize Shoreline Sensitivity Mapping: Classifying Multiple Wide Fine Quadrature Polarized RADARSAT-2 and Landsat 5 Scenes with a Single Random Forest Model 2015 ·Remote Sensing ·Sarah Banks, Koreen Millard, Jon Pasher, Murray Richardson, Huili Wang, Jason Duffe	23
19	Use of GIS and high resolution LiDAR in salt marsh restoration site suitability assessments in the upper Bay of Fundy, Canada 2013 ·Wetlands Ecology and Management ·Koreen Millard, Anna M. Redden, (unknown), Heather Stewart	38
20	Mapping vegetation friction indicators in a tidal salt marsh environment 2008 ·Koreen Millard, Chris Hopkinson, Anna M. Redden, (unknown)	1

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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