Caitlin M. Andrews

737 total citations
17 papers, 498 citations indexed

About

Caitlin M. Andrews is a scholar working on Global and Planetary Change, Nature and Landscape Conservation and Atmospheric Science. According to data from OpenAlex, Caitlin M. Andrews has authored 17 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Global and Planetary Change, 8 papers in Nature and Landscape Conservation and 6 papers in Atmospheric Science. Recurrent topics in Caitlin M. Andrews's work include Plant Water Relations and Carbon Dynamics (10 papers), Fire effects on ecosystems (8 papers) and Tree-ring climate responses (6 papers). Caitlin M. Andrews is often cited by papers focused on Plant Water Relations and Carbon Dynamics (10 papers), Fire effects on ecosystems (8 papers) and Tree-ring climate responses (6 papers). Caitlin M. Andrews collaborates with scholars based in United States and Switzerland. Caitlin M. Andrews's co-authors include John B. Bradford, Robert K. Shriver, Anthony W. D’Amato, Matthew J. Germino, Daniel R. Schlaepfer, William K. Lauenroth, Matthew D. Petrie, Robert S. Arkle, David S. Pilliod and Robert M. Hubbard and has published in prestigious journals such as Ecology, Global Change Biology and Oecologia.

In The Last Decade

Caitlin M. Andrews

16 papers receiving 491 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Caitlin M. Andrews United States	12	401	289	190	131	32	17	498
Markus Didion Switzerland	15	346 0.9×	291 1.0×	163 0.9×	52 0.4×	16 0.5×	24	575
Timothy J. Assal United States	11	277 0.7×	128 0.4×	252 1.3×	53 0.4×	34 1.1×	31	397
Yuandong Zhang China	13	356 0.9×	235 0.8×	89 0.5×	233 1.8×	10 0.3×	35	485
Ellen Stuart‐Haëntjens United States	8	285 0.7×	179 0.6×	136 0.7×	58 0.4×	9 0.3×	11	413
Imre Berki Hungary	11	202 0.5×	172 0.6×	102 0.5×	128 1.0×	14 0.4×	28	417
Christopher R. Dolanc United States	10	442 1.1×	302 1.0×	210 1.1×	139 1.1×	7 0.2×	13	565
Adam Ellis United Kingdom	8	386 1.0×	263 0.9×	328 1.7×	118 0.9×	6 0.2×	9	582
Luobu Danjiu China	9	153 0.4×	130 0.4×	211 1.1×	116 0.9×	22 0.7×	15	413
Katharine I. Predick United States	8	214 0.5×	150 0.5×	213 1.1×	40 0.3×	31 1.0×	9	400
Wellington Willian Rocha Brazil	7	437 1.1×	168 0.6×	140 0.7×	121 0.9×	8 0.3×	23	606

Countries citing papers authored by Caitlin M. Andrews

Since Specialization

Citations

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

Fields of papers citing papers by Caitlin M. Andrews

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caitlin M. Andrews

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

All Works

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17 of 17 papers shown

Andrews, Caitlin M., Joseph A. Bard, David S. Blehert, et al.. (2023). Community for data integration 2019 project report. Antarctica A Keystone in a Changing World. 1 indexed citations

Deemer, Bridget R., et al.. (2023). Over half a century record of limnology data from Lake Powell, desert southwest United States: From reservoir filling to present day (1964–2021). Limnology and Oceanography Letters. 8(4). 580–594. 4 indexed citations

McCauley, Lisa A., John B. Bradford, Marcos D. Robles, et al.. (2022). Landscape-scale forest restoration decreases vulnerability to drought mortality under climate change in southwest USA ponderosa forest. Forest Ecology and Management. 509. 120088–120088. 24 indexed citations

Andrews, Caitlin M., et al.. (2022). Integrating historical observations alters projections of eastern North American spruce–fir habitat under climate change. Ecosphere. 13(4). 7 indexed citations

Bradford, John B., Robert K. Shriver, Marcos D. Robles, et al.. (2021). Tree mortality response to drought‐density interactions suggests opportunities to enhance drought resistance. Journal of Applied Ecology. 59(2). 549–559. 47 indexed citations

Barnard, David M., Matthew J. Germino, John B. Bradford, et al.. (2021). Are drought indices and climate data good indicators of ecologically relevant soil moisture dynamics in drylands?. Ecological Indicators. 133. 108379–108379. 29 indexed citations

Hsu, Leslie, Caitlin M. Andrews, John B. Bradford, et al.. (2020). Community for data integration 2018 funded project report. Antarctica A Keystone in a Changing World.

Petrie, Matthew D., John B. Bradford, William K. Lauenroth, et al.. (2020). Non-analog increases to air, surface, and belowground temperature extreme events due to climate change. Climatic Change. 163(4). 2233–2256. 19 indexed citations

Bradford, John B., et al.. (2020). Landscape‐scale restoration minimizes tree growth vulnerability to 21^stcentury drought in a dry forest. Ecological Applications. 31(2). e2238–e2238. 13 indexed citations

10.

Kolb, Thomas E., et al.. (2020). Stand density, drought, and herbivory constrain ponderosa pine regeneration pulse. Canadian Journal of Forest Research. 50(9). 862–871. 17 indexed citations

11.

O’Connor, Rory C., Matthew J. Germino, David M. Barnard, et al.. (2020). Small-scale water deficits after wildfires create long-lasting ecological impacts. Environmental Research Letters. 15(4). 44001–44001. 41 indexed citations

12.

Andrews, Caitlin M., Anthony W. D’Amato, Shawn Fraver, et al.. (2020). Low stand density moderates growth declines during hot droughts in semi‐arid forests. Journal of Applied Ecology. 57(6). 1089–1102. 64 indexed citations

13.

Gremer, Jennifer R., et al.. (2018). Increasing temperature seasonality may overwhelm shifts in soil moisture to favor shrub over grass dominance in Colorado Plateau drylands. Oecologia. 188(4). 1195–1207. 25 indexed citations

14.

Andrews, Caitlin M., et al.. (2018). Variation in the maximum stand density index and its linkage to climate in mixed species forests of the North American Acadian Region. Forest Ecology and Management. 417. 90–102. 36 indexed citations

15.

Shriver, Robert K., Caitlin M. Andrews, David S. Pilliod, et al.. (2018). Adapting management to a changing world: Warm temperatures, dry soil, and interannual variability limit restoration success of a dominant woody shrub in temperate drylands. Global Change Biology. 24(10). 4972–4982. 84 indexed citations

16.

Petrie, Matthew D., John B. Bradford, Robert M. Hubbard, et al.. (2017). Climate change may restrict dryland forest regeneration in the 21st century. Ecology. 98(6). 1548–1559. 82 indexed citations

17.

Andrews, Caitlin M.. (2016). Modeling and Forecasting the Influence of Current and Future Climate on Eastern North American Spruce-Fir (Picea-Abies) Forests. DigitalCommons (California Polytechnic State University). 5 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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