Tara M. Barrett

55 total papers · 1.1k total citations
32 papers, 674 citations indexed

About

Tara M. Barrett is a scholar working on Global and Planetary Change, Nature and Landscape Conservation and Environmental Engineering. According to data from OpenAlex, Tara M. Barrett has authored 32 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Global and Planetary Change, 19 papers in Nature and Landscape Conservation and 10 papers in Environmental Engineering. Recurrent topics in Tara M. Barrett's work include Forest ecology and management (17 papers), Forest Management and Policy (13 papers) and Remote Sensing and LiDAR Applications (10 papers). Tara M. Barrett is often cited by papers focused on Forest ecology and management (17 papers), Forest Management and Policy (13 papers) and Remote Sensing and LiDAR Applications (10 papers). Tara M. Barrett collaborates with scholars based in United States, Canada and United Kingdom. Tara M. Barrett's co-authors include Hailemariam Temesgen, Bianca N.I. Eskelson, Gregory S. Latta, J. Keith Gilless, Valerie LeMay, Lawrence S. Davis, Andrew T. Hudak, Nicholas L. Crookston, Darius M. Adams and Brian Buma and has published in prestigious journals such as Global Change Biology, Biological Conservation and Landscape and Urban Planning.

In The Last Decade

Tara M. Barrett

32 papers receiving 628 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tara M. Barrett 370 343 221 152 93 32 674
Eddie Bevilacqua 447 1.2× 289 0.8× 94 0.4× 106 0.7× 45 0.5× 46 714
Aksel Granhus 308 0.8× 417 1.2× 196 0.9× 142 0.9× 182 2.0× 60 699
Lutz Fehrmann 314 0.8× 487 1.4× 310 1.4× 172 1.1× 78 0.8× 38 715
Johan Sonesson 421 1.1× 350 1.0× 92 0.4× 103 0.7× 188 2.0× 34 658
I. E. Bella 355 1.0× 504 1.5× 99 0.4× 82 0.5× 73 0.8× 29 634
João Luı́s Ferreira Batista 243 0.7× 530 1.5× 117 0.5× 173 1.1× 58 0.6× 46 793
Volker Mues 385 1.0× 340 1.0× 146 0.7× 135 0.9× 103 1.1× 18 627
François Ningre 402 1.1× 460 1.3× 91 0.4× 80 0.5× 102 1.1× 42 646
Rodrigo Moura Pereira 514 1.4× 283 0.8× 215 1.0× 309 2.0× 110 1.2× 21 782
Yuancai Lei 425 1.1× 584 1.7× 366 1.7× 114 0.8× 69 0.7× 44 766

Countries citing papers authored by Tara M. Barrett

Since Specialization
Citations

This map shows the geographic impact of Tara M. Barrett'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 Tara M. Barrett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tara M. Barrett more than expected).

Fields of papers citing papers by Tara M. Barrett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tara M. Barrett. 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 Tara M. Barrett. The network helps show where Tara M. Barrett may publish in the future.

Co-authorship network of co-authors of Tara M. Barrett

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

All Works

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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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