Andrew Kulmatiski

7.3k total citations · 3 hit papers
67 papers, 4.9k citations indexed

About

Andrew Kulmatiski is a scholar working on Nature and Landscape Conservation, Plant Science and Global and Planetary Change. According to data from OpenAlex, Andrew Kulmatiski has authored 67 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Nature and Landscape Conservation, 27 papers in Plant Science and 25 papers in Global and Planetary Change. Recurrent topics in Andrew Kulmatiski's work include Ecology and Vegetation Dynamics Studies (34 papers), Plant Water Relations and Carbon Dynamics (20 papers) and Soil Carbon and Nitrogen Dynamics (17 papers). Andrew Kulmatiski is often cited by papers focused on Ecology and Vegetation Dynamics Studies (34 papers), Plant Water Relations and Carbon Dynamics (20 papers) and Soil Carbon and Nitrogen Dynamics (17 papers). Andrew Kulmatiski collaborates with scholars based in United States, Germany and Switzerland. Andrew Kulmatiski's co-authors include Karen H. Beard, John R. Stevens, Stephanie M. Cobbold, Paul Kardol, Т. Martijn Bezemer, Wim H. van der Putten, Tadashi Fukami, Katharine N. Suding, John N. Klironomos and James D. Bever and has published in prestigious journals such as PLoS ONE, Trends in Ecology & Evolution and Ecology.

In The Last Decade

Andrew Kulmatiski

66 papers receiving 4.8k citations

Hit Papers

Plant–soil feedbacks: the past, the present and future ch... 2008 2026 2014 2020 2013 2008 2018 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Kulmatiski United States 30 2.6k 2.4k 1.2k 1.1k 1.1k 67 4.9k
Guozhen Du China 45 2.4k 0.9× 2.5k 1.0× 1.4k 1.2× 1.6k 1.4× 1.9k 1.7× 178 5.5k
Jordi Cortina Spain 41 1.6k 0.6× 2.8k 1.1× 1.3k 1.1× 1.1k 1.0× 1.1k 0.9× 87 5.2k
Grégoire T. Freschet France 36 2.6k 1.0× 2.9k 1.2× 1.2k 1.0× 2.5k 2.2× 1.4k 1.2× 62 6.3k
Christine V. Hawkes United States 40 3.0k 1.1× 1.9k 0.8× 1.6k 1.4× 1.6k 1.4× 1.8k 1.6× 92 6.0k
José M. Facelli Australia 33 2.5k 1.0× 3.5k 1.4× 1.8k 1.5× 657 0.6× 1.8k 1.6× 104 5.5k
Michael D. Cramer South Africa 43 3.9k 1.5× 2.0k 0.8× 988 0.8× 1.5k 1.4× 1.3k 1.2× 155 7.2k
Jasmin Joshi Germany 30 1.8k 0.7× 2.1k 0.9× 1.6k 1.3× 616 0.5× 1.0k 0.9× 74 4.1k
Cristina Armas Spain 35 2.4k 0.9× 3.6k 1.5× 2.2k 1.9× 831 0.7× 1.4k 1.2× 72 5.9k
Pablo García‐Palacios Spain 37 1.2k 0.5× 1.6k 0.7× 989 0.8× 2.3k 2.0× 1.8k 1.6× 78 5.1k
Nona R. Chiariello United States 28 1.9k 0.7× 1.5k 0.6× 986 0.8× 1.1k 0.9× 1.4k 1.2× 41 4.5k

Countries citing papers authored by Andrew Kulmatiski

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Kulmatiski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Kulmatiski

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Kulmatiski. A scholar is included among the top collaborators of Andrew Kulmatiski 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 Andrew Kulmatiski. Andrew Kulmatiski 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.
Tobin, Brian, et al.. (2025). Topographic patterns of soil traits and macro fauna in oriental beech forests in Iran. Applied Soil Ecology. 211. 106132–106132.
2.
Kulmatiski, Andrew, et al.. (2024). Root distributions predict shrub–steppe responses to precipitation intensity. Biogeosciences. 21(1). 131–143. 4 indexed citations
3.
Kulmatiski, Andrew, et al.. (2021). Improving Inferences from Hydrological Isotope Techniques. Trends in Plant Science. 26(3). 206–209. 10 indexed citations
4.
Kulmatiski, Andrew, Karen H. Beard, Martin C. Holdrege, & Edmund C. February. (2020). Small differences in root distributions allow resource niche partitioning. Ecology and Evolution. 10(18). 9776–9787. 24 indexed citations
5.
Kulmatiski, Andrew, Kailiang Yu, D. S. Mackay, et al.. (2019). Forecasting semi‐arid biome shifts in the Anthropocene. New Phytologist. 226(2). 351–361. 6 indexed citations
6.
Kulmatiski, Andrew & Karen H. Beard. (2019). Chronosequence and direct observation approaches reveal complementary community dynamics in a novel ecosystem. PLoS ONE. 14(3). e0207047–e0207047. 5 indexed citations
7.
Adler, Peter B., Karen H. Beard, Ryan T. Choi, et al.. (2018). Competition and coexistence in plant communities: intraspecific competition is stronger than interspecific competition. Ecology Letters. 21(9). 1319–1329. 313 indexed citations breakdown →
8.
Kulmatiski, Andrew. (2018). Community‐level plant–soil feedbacks explain landscape distribution of native and non‐native plants. Ecology and Evolution. 8(4). 2041–2049. 22 indexed citations
9.
Kulmatiski, Andrew, et al.. (2017). A savanna response to precipitation intensity. PLoS ONE. 12(4). e0175402–e0175402. 40 indexed citations
10.
Kulmatiski, Andrew. (2016). Factorial and ‘self vs. other’ plant soil feedback experiments produce similar predictions of plant growth in communities. Plant and Soil. 408(1-2). 485–492. 11 indexed citations
11.
Kulmatiski, Andrew, et al.. (2015). Modelling Water Uptake Provides a New Perspective on Grass and Tree Coexistence. PLoS ONE. 10(12). e0144300–e0144300. 42 indexed citations
12.
Kulmatiski, Andrew, et al.. (2014). Activated carbon decreases invasive plant growth by mediating plant–microbe interactions. AoB Plants. 7. 17 indexed citations
13.
Putten, Wim H. van der, Richard D. Bardgett, James D. Bever, et al.. (2013). Plant–soil feedbacks: the past, the present and future challenges. Journal of Ecology. 101(2). 265–276. 1250 indexed citations breakdown →
14.
Beard, Karen H. & Andrew Kulmatiski. (2012). Introduction, Establishment, and Spread: 50 Years of Invasion Ecology Since Elton. Ecology. 2(93). 437–438. 1 indexed citations
15.
Kulmatiski, Andrew, et al.. (2011). Testing predictions of a three‐species plant–soil feedback model. Journal of Ecology. 99(2). 542–550. 47 indexed citations
16.
Kulmatiski, Andrew, Karen H. Beard, Richard J. T. Verweij, & Edmund C. February. (2010). A depth‐controlled tracer technique measures vertical, horizontal and temporal patterns of water use by trees and grasses in a subtropical savanna. New Phytologist. 188(1). 199–209. 117 indexed citations
17.
Kulmatiski, Andrew, Karen H. Beard, & John M. Stark. (2006). Exotic Communities Shift Water-Use Timing. Plant and Soil. 2(288). 271–284. 2 indexed citations
18.
Beard, Karen H., Kristina Vogt, & Andrew Kulmatiski. (2002). Top-Down Effects of a Terrestrial Frog on Nutrient Concentrations in a Subtropical Forest. Oecologia. 583. 1 indexed citations
19.
Beard, Karen H., Kristiina A. Vogt, & Andrew Kulmatiski. (2002). Top-Down Effects of a Terrestrial Frog on Nutrient Dynamics. Oecologia. 133(4). 8 indexed citations
20.
Beard, Karen H., Kristiina A. Vogt, & Andrew Kulmatiski. (2002). Top-down effects of a terrestrial frog on forest nutrient dynamics. Oecologia. 133(4). 583–593. 86 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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