Gregory Starr

7.6k total citations
83 papers, 2.6k citations indexed

About

Gregory Starr is a scholar working on Global and Planetary Change, Atmospheric Science and Ecology. According to data from OpenAlex, Gregory Starr has authored 83 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Global and Planetary Change, 36 papers in Atmospheric Science and 31 papers in Ecology. Recurrent topics in Gregory Starr's work include Plant Water Relations and Carbon Dynamics (43 papers), Fire effects on ecosystems (22 papers) and Coastal wetland ecosystem dynamics (16 papers). Gregory Starr is often cited by papers focused on Plant Water Relations and Carbon Dynamics (43 papers), Fire effects on ecosystems (22 papers) and Coastal wetland ecosystem dynamics (16 papers). Gregory Starr collaborates with scholars based in United States, Norway and China. Gregory Starr's co-authors include Steven F. Oberbauer, Christina L. Staudhammer, Jessica L. Schedlbauer, Timothy A. Martin, Henry L. Gholz, Joseph J. O’Brien, Henry W. Loescher, Rebecca Mitchell, Sparkle L. Malone and Robert J. Mitchell and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, PLoS ONE and Ecology.

In The Last Decade

Gregory Starr

81 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregory Starr United States 30 1.6k 984 974 505 284 83 2.6k
Adrian V. Rocha United States 29 2.1k 1.3× 1.5k 1.5× 1.1k 1.2× 525 1.0× 267 0.9× 55 3.2k
Andrej Varlagin Russia 22 1.7k 1.1× 680 0.7× 776 0.8× 280 0.6× 258 0.9× 40 2.0k
Niels Andela United States 22 3.6k 2.2× 1.2k 1.2× 1.2k 1.2× 520 1.0× 226 0.8× 40 4.2k
Tomomichi Kato Japan 28 1.9k 1.2× 684 0.7× 955 1.0× 443 0.9× 363 1.3× 68 2.8k
Song Gu China 22 1.2k 0.8× 570 0.6× 838 0.9× 299 0.6× 316 1.1× 43 2.1k
Jennifer L. Baltzer Canada 26 1.5k 0.9× 1.2k 1.2× 728 0.7× 790 1.6× 327 1.2× 88 2.7k
Takeshi Ise Japan 15 1.1k 0.7× 840 0.9× 724 0.7× 218 0.4× 211 0.7× 32 2.1k
Logan T. Berner United States 26 1.7k 1.1× 1.6k 1.7× 887 0.9× 805 1.6× 169 0.6× 58 3.0k
Dan K. Thompson Canada 30 2.0k 1.2× 892 0.9× 1.9k 1.9× 258 0.5× 308 1.1× 69 3.0k
Gitta Lasslop Germany 27 4.0k 2.5× 1.4k 1.5× 1.2k 1.2× 528 1.0× 391 1.4× 48 4.6k

Countries citing papers authored by Gregory Starr

Since Specialization
Citations

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

Fields of papers citing papers by Gregory Starr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory Starr. 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 Gregory Starr. The network helps show where Gregory Starr may publish in the future.

Co-authorship network of co-authors of Gregory Starr

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

All Works

20 of 20 papers shown
1.
Duarte, Henrique F., Ge Sun, Maricar Aguilos, et al.. (2025). Assessing the Community Land Model (CLM5) for Quantifying Energy, Water, and Carbon Balances in Loblolly and Longleaf Pine Ecosystems in Southeastern United States. Journal of Geophysical Research Biogeosciences. 130(11).
2.
Karimi, Hazhir, Michael W. Binford, Gregory Starr, et al.. (2025). Drivers of forest productivity in two regions of the United States: Relative impacts of management and environmental variables. Journal of Environmental Management. 374. 124040–124040. 2 indexed citations
3.
Bigelow, Seth W., et al.. (2024). Damage prediction for planted longleaf pine in extreme winds. Forest Ecology and Management. 560. 121828–121828. 8 indexed citations
4.
Aguilos, Maricar, Ge Sun, Ning Liu, et al.. (2024). Energy availability and leaf area dominate control of ecosystem evapotranspiration in the southeastern U.S.. Agricultural and Forest Meteorology. 349. 109960–109960. 9 indexed citations
5.
Tang, Xuan, et al.. (2024). VCPNET: A new dataset to benchmark vegetation carbon phenology metrics. Ecological Informatics. 82. 102741–102741. 1 indexed citations
6.
7.
Oberbauer, S. F., et al.. (2024). Carbon Dynamics of a Coastal Wetland Transitioning to Mangrove Forest. Journal of Geophysical Research Biogeosciences. 129(4). 1 indexed citations
8.
Bracho, Rosvel, Timothy A. Martin, Jason G. Vogel, et al.. (2023). Two decades of carbon dynamics in an actively-managed, naturally-regenerated longleaf/slash pine forest. Forest Ecology and Management. 548. 121408–121408. 2 indexed citations
9.
Staudhammer, Christina L., et al.. (2022). Uncertainty in parameterizing a flux‐based model of vegetation carbon phenology using ecosystem respiration. Ecosphere. 13(5). 4 indexed citations
10.
Malone, Sparkle L., Youmi Oh, Kyle A. Arndt, et al.. (2022). Gaps in network infrastructure limit our understanding of biogenic methane emissions for the United States. Biogeosciences. 19(9). 2507–2522. 3 indexed citations
11.
Staudhammer, Christina L., et al.. (2022). Methane emissions from subtropical wetlands: An evaluation of the role of data filtering on annual methane budgets. Agricultural and Forest Meteorology. 321. 108972–108972. 5 indexed citations
12.
Hiers, J. Kevin, Mac A. Callaham, Scott L. Goodrick, et al.. (2021). A model comparison of fire return interval impacts on carbon and species dynamics in a southeastern U.S. pineland. Ecosphere. 12(11). 2 indexed citations
13.
Zhao, Junbin, Sparkle L. Malone, Christina L. Staudhammer, et al.. (2021). Freshwater wetland plants respond nonlinearly to inundation over a sustained period. American Journal of Botany. 108(10). 1917–1931. 6 indexed citations
14.
Stoy, Paul C., et al.. (2020). Using Metabolic Energy Density Metrics to Understand Differences in Ecosystem Function During Drought. Journal of Geophysical Research Biogeosciences. 125(3). 7 indexed citations
15.
Zhao, Junbin, Sparkle L. Malone, Steven F. Oberbauer, et al.. (2019). Intensified inundation shifts a freshwater wetland from a CO2 sink to a source. Global Change Biology. 25(10). 3319–3333. 40 indexed citations
16.
Bhotika, Smriti S., Gregory Starr, J. Kevin Hiers, et al.. (2019). Quantifying carbon and species dynamics under different fire regimes in a southeastern U.S. pineland. Ecosphere. 10(6). 21 indexed citations
17.
Staudhammer, Christina L., et al.. (2019). Quantifying energy use efficiency via entropy production: a case study from longleaf pine ecosystems. Biogeosciences. 16(8). 1845–1863. 7 indexed citations
18.
Stoy, Paul C., Michael W. Binford, Ankur R. Desai, et al.. (2018). Toward a Social-Ecological Theory of Forest Macrosystems for Improved Ecosystem Management. Forests. 9(4). 200–200. 9 indexed citations
19.
Starr, Gregory, et al.. (2018). Variation in ecosystem carbon dynamics of saltwater marshes in the northern Gulf of Mexico. Wetlands Ecology and Management. 26(4). 581–596. 5 indexed citations
20.
Starr, Gregory, et al.. (2016). Carbon Dynamics of Pinus palustris Ecosystems Following Drought. Forests. 7(5). 98–98. 27 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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