Tim Brown
Impact in
- Ecological Modeling top 5%
- Species Distribution and Climate Change
- Ecology top 5%
- Remote Sensing in Agriculture
Papers in
- Ecology 10
- Remote Sensing in Agriculture 8
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- Plant Water Relations and Carbon Dynamics 3
- Fire effects on ecosystems 2
- Co-authors
- Justin Borevitz (4 shared papers)Kevin R. Hultine (4 shared papers)M B Habibi Najafi (1 shared paper)Sarah Taghavi Namin (1 shared paper)Mahdi Esmaeilzadeh (1 shared paper)Riyan Cheng (3 shared papers)Michael Denslow (1 shared paper)Arturo Sánchez‐Azofeifa (1 shared paper)
- Journals
- Remote Sensing of Environment (2 papers)Current Opinion in Plant Biology (1 paper)PLANT PHYSIOLOGY (1 paper)Frontiers in Ecology and the Environment (1 paper)Plant Methods (1 paper)
- Partner nations
- AustraliaUnited StatesCanada
In The Last Decade
Tim Brown
14 papers receiving 702 citations
Peers
Comparison fields: 5 of 73
- Ecological Modeling 182
- Ecology 393
- Global and Planetary Change 260
- Environmental Engineering 118
- Plant Science 303
Countries citing papers authored by Tim Brown
This map shows the geographic impact of Tim Brown'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 Tim Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Brown more than expected).
Fields of papers citing papers by Tim Brown
This network shows the impact of papers produced by Tim Brown. 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 Tim Brown. The network helps show where Tim Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Brown, 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 | 2016 | 209 | |
| 2 | 2018 | 124 | |
| 3 | 2016 | 80 | |
| 4 | 2017 | 79 | |
| 5 | 2014 | 72 | |
| 6 | 2013 | 53 | |
| 7 | 2016 | 36 | |
| 8 | 2011 | 34 | |
| 9 | 2018 | 11 | |
| 10 | 2012 | 9 | |
| 11 | 2016 | 4 | |
| 12 | Briefing: Climate and Wildfire in Western US Forests - eScholarship | 2014 | 3 |
| 13 | BRAZIL'S BIG SHOT | 2004 | 1 |
| 14 | Monitoring impacts of Tamarix leaf beetles (Diorhabda elongata) on the leaf phenology and water use of Tamarix spp. using ground and remote sensing methods | 2010 | 1 |
About Tim Brown
Tim Brown is a scholar working on Ecology, Global and Planetary Change, Ecological Modeling, Plant Science and Environmental Engineering, having authored 14 papers that have together received 716 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (8 papers), Species Distribution and Climate Change (5 papers), Remote Sensing and LiDAR Applications (4 papers), Plant Water Relations and Carbon Dynamics (3 papers), Plant Stress Responses and Tolerance (2 papers), Fire effects on ecosystems (2 papers), Horticultural and Viticultural Research (1 paper) and Plant and animal studies (1 paper). The work is most often cited by research in Ecological Modeling (182 citations), Ecology (393 citations), Global and Planetary Change (260 citations), Environmental Engineering (118 citations) and Plant Science (303 citations). Tim Brown has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Justin Borevitz, Kevin R. Hultine, M B Habibi Najafi, Sarah Taghavi Namin, Mahdi Esmaeilzadeh, Riyan Cheng, Michael Denslow, Arturo Sánchez‐Azofeifa, Michael Sanclements and Shin Nagai. Their work appears in journals such as Remote Sensing of Environment, Current Opinion in Plant Biology, PLANT PHYSIOLOGY, Frontiers in Ecology and the Environment and Plant Methods.
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.