Bailey D. Morrison
Impact in
- Ecology top 10%
- Remote Sensing in Agriculture
- Analytical Chemistry top 5%
- Spectroscopy and Chemometric Analyses
Papers in
-
- Climate change and permafrost 4
- Meteorological Phenomena and Simulations 1
- Ecology 4
- Remote Sensing in Agriculture 4
- Co-authors
- Shawn Paul Serbin (7 shared papers)Dedi Yang (5 shared papers)Qianyu Li (3 shared papers)Jeremiah A. Anderson (2 shared papers)Kenneth Davidson (3 shared papers)Alistair Rogers (3 shared papers)Julien Lamour (3 shared papers)Kim Ely (3 shared papers)
- Journals
- Geoscientific model development (1 paper)Journal of Ecology (1 paper)Frontiers in Plant Science (1 paper)Remote Sensing of Environment (1 paper)Remote Sensing (1 paper)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Bailey D. Morrison
7 papers receiving 278 citations
Bailey D. Morrison's Hit Papers
Peers
Comparison fields: 5 of 38
- Ecology 159
- Analytical Chemistry 59
- Media Technology 33
- Atmospheric Science 49
- Global and Planetary Change 36
Countries citing papers authored by Bailey D. Morrison
This map shows the geographic impact of Bailey D. Morrison'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 Bailey D. Morrison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bailey D. Morrison more than expected).
Fields of papers citing papers by Bailey D. Morrison
This network shows the impact of papers produced by Bailey D. Morrison. 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 Bailey D. Morrison. The network helps show where Bailey D. Morrison may publish in the future.
Co-authors
The 24 scholars most cited alongside Bailey D. Morrison, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A best-practice guide to predicting plant traits from leaf-level hyperspectral data using partial least squares regression Hit paper breakdown → | 2021 | 159 |
| 2 | 2020 | 36 | |
| 3 | 2022 | 23 | |
| 4 | 2021 | 21 | |
| 5 | 2022 | 18 | |
| 6 | 2022 | 14 | |
| 7 | 2019 | 9 | |
| 8 | 2026 | 0 |
About Bailey D. Morrison
Bailey D. Morrison is a scholar working on Atmospheric Science, Ecology, Ecological Modeling, Media Technology and Analytical Chemistry, having authored 8 papers that have together received 280 indexed citations. Recurring topics across this work include Climate change and permafrost (4 papers), Remote Sensing in Agriculture (4 papers), Atmospheric and Environmental Gas Dynamics (1 paper), Plant Water Relations and Carbon Dynamics (1 paper), Meteorological Phenomena and Simulations (1 paper), Spectroscopy and Chemometric Analyses (1 paper), Remote-Sensing Image Classification (1 paper) and Species Distribution and Climate Change (1 paper). The work is most often cited by research in Ecology (159 citations), Analytical Chemistry (59 citations), Media Technology (33 citations), Atmospheric Science (49 citations) and Global and Planetary Change (36 citations). Bailey D. Morrison has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Shawn Paul Serbin, Dedi Yang, Qianyu Li, Jeremiah A. Anderson, Kenneth Davidson, Alistair Rogers, Julien Lamour, Kim Ely, Angela C. Burnett and Wouter Hantson. Their work appears in journals such as Geoscientific model development, Journal of Ecology, Frontiers in Plant Science, Remote Sensing of Environment and Remote Sensing.
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.