Tim Brown

1.1k total citations
14 papers, 716 citations indexed

About

Tim Brown is a scholar working on Ecology, Global and Planetary Change and Ecological Modeling. According to data from OpenAlex, Tim Brown has authored 14 papers receiving a total of 716 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Ecology, 6 papers in Global and Planetary Change and 5 papers in Ecological Modeling. Recurrent topics in Tim Brown's work include Remote Sensing in Agriculture (8 papers), Species Distribution and Climate Change (5 papers) and Remote Sensing and LiDAR Applications (4 papers). Tim Brown is often cited by papers focused on Remote Sensing in Agriculture (8 papers), Species Distribution and Climate Change (5 papers) and Remote Sensing and LiDAR Applications (4 papers). Tim Brown collaborates with scholars based in Australia, United States and Canada. Tim Brown's co-authors include Justin Borevitz, Kevin R. Hultine, Sarah Taghavi Namin, Mahdi Esmaeilzadeh, M B Habibi Najafi, Riyan Cheng, D. J. Moore, David J. Tazik, Ellen G. Denny and Heidi Steltzer and has published in prestigious journals such as PLANT PHYSIOLOGY, Remote Sensing of Environment and Current Opinion in Plant Biology.

In The Last Decade

Tim Brown

14 papers receiving 702 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tim Brown Australia	10	393	303	260	182	118	14	716
Michèle R. Slaton United States	11	382 1.0×	271 0.9×	263 1.0×	78 0.4×	64 0.5×	23	697
Adam Chlus United States	13	507 1.3×	264 0.9×	165 0.6×	141 0.8×	89 0.8×	20	766
Loren P. Albert United States	14	347 0.9×	323 1.1×	403 1.6×	98 0.5×	66 0.6×	25	836
Kim Ely United States	13	354 0.9×	376 1.2×	309 1.2×	71 0.4×	56 0.5×	24	693
Christopher Y. S. Wong Canada	14	842 2.1×	473 1.6×	666 2.6×	177 1.0×	247 2.1×	27	1.2k
Ben Sparrow Australia	13	325 0.8×	122 0.4×	246 0.9×	242 1.3×	170 1.4×	35	843
Timothy S. Prather United States	19	566 1.4×	673 2.2×	161 0.6×	211 1.2×	68 0.6×	55	1.3k
Nuno César de Sá Netherlands	9	217 0.6×	190 0.6×	104 0.4×	81 0.4×	71 0.6×	9	463
Jung‐Hwa Chun South Korea	14	247 0.6×	124 0.4×	213 0.8×	76 0.4×	68 0.6×	38	596
Mehdi Pourhashemi Iran	12	212 0.5×	140 0.5×	171 0.7×	55 0.3×	61 0.5×	39	538

Countries citing papers authored by Tim Brown

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Tim Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Brown. A scholar is included among the top collaborators of Tim Brown 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 Tim Brown. Tim Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Namin, Sarah Taghavi, Mahdi Esmaeilzadeh, M B Habibi Najafi, Tim Brown, & Justin Borevitz. (2018). Deep phenotyping: deep learning for temporal phenotype/genotype classification. Plant Methods. 14(1). 66–66. 124 indexed citations

Hufkens, Koen, Gianluca Filippa, Edoardo Cremonese, et al.. (2018). Assimilating phenology datasets automatically across ICOS ecosystem stations. International Agrophysics. 32(4). 677–687. 11 indexed citations

O’Leary, Brendan M., Chun Pong Lee, Owen K. Atkin, et al.. (2017). Variation in Leaf Respiration Rates at Night Correlates with Carbohydrate and Amino Acid Supply. PLANT PHYSIOLOGY. 174(4). 2261–2273. 79 indexed citations

Moore, Caitlin E., Tim Brown, Trevor F. Keenan, et al.. (2016). Reviews and syntheses: Australian vegetation phenology: new insights from satellite remote sensingand digital repeat photography. Biogeosciences. 13(17). 5085–5102. 80 indexed citations

Moore, Caitlin E., Tim Brown, Trevor F. Keenan, et al.. (2016). Australian vegetation phenology: new insights from satellite remote sensing and digital repeat photography. 4 indexed citations

Awlia, Mariam, Tim Brown, Riyan Cheng, et al.. (2016). Using Phenomic Analysis of Photosynthetic Function for Abiotic Stress Response Gene Discovery. PubMed. 14. e0185–e0185. 36 indexed citations

Brown, Tim, Kevin R. Hultine, Heidi Steltzer, et al.. (2016). Using phenocams to monitor our changing Earth: toward a global phenocam network. Frontiers in Ecology and the Environment. 14(2). 84–93. 209 indexed citations

Brown, Tim, Riyan Cheng, Xavier Sirault, et al.. (2014). TraitCapture: genomic and environment modelling of plant phenomic data. Current Opinion in Plant Biology. 18. 73–79. 72 indexed citations

Brown, Tim, et al.. (2014). Briefing: Climate and Wildfire in Western US Forests - eScholarship. 3 indexed citations

10.

Nagler, Pamela L., Edward P. Glenn, Tim Brown, et al.. (2013). Rapid dispersal of saltcedar (Tamarix spp.) biocontrol beetles (Diorhabda carinulata) on a desert river detected by phenocams, MODIS imagery and ground observations. Remote Sensing of Environment. 140. 206–219. 53 indexed citations

11.

Brown, Tim, et al.. (2012). High-Resolution, Time-Lapse Imaging for Ecosystem-Scale Phenotyping in the Field. Methods in molecular biology. 918. 71–96. 9 indexed citations

12.

Nagler, Pamela L., Tim Brown, Kevin R. Hultine, et al.. (2011). Regional scale impacts of Tamarix leaf beetles (Diorhabda carinulata) on the water availability of western U.S. rivers as determined by multi-scale remote sensing methods. Remote Sensing of Environment. 118. 227–240. 34 indexed citations

13.

Nagler, Pamela L., Tim Brown, Kevin R. Hultine, et al.. (2010). Monitoring impacts of Tamarix leaf beetles (Diorhabda elongata) on the leaf phenology and water use of Tamarix spp. using ground and remote sensing methods. AGUFM. 2010. 1 indexed citations

14.

Brown, Tim, et al.. (2004). BRAZIL'S BIG SHOT. 1 indexed citations

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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