Daniel M. Griffith

2.1k total citations · 1 hit paper
25 papers, 854 citations indexed

About

Daniel M. Griffith is a scholar working on Nature and Landscape Conservation, Ecological Modeling and Ecology. According to data from OpenAlex, Daniel M. Griffith has authored 25 papers receiving a total of 854 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Nature and Landscape Conservation, 11 papers in Ecological Modeling and 10 papers in Ecology. Recurrent topics in Daniel M. Griffith's work include Ecology and Vegetation Dynamics Studies (15 papers), Species Distribution and Climate Change (11 papers) and Plant Water Relations and Carbon Dynamics (10 papers). Daniel M. Griffith is often cited by papers focused on Ecology and Vegetation Dynamics Studies (15 papers), Species Distribution and Climate Change (11 papers) and Plant Water Relations and Carbon Dynamics (10 papers). Daniel M. Griffith collaborates with scholars based in United States, United Kingdom and Panama. Daniel M. Griffith's co-authors include Joseph A. Veech, Charles J. Marsh, T. Michael Anderson, Christopher J. Still, Kathleen M. Quigley, George L. Donati, Brent R. Helliker, Stephanie Pau, W. J. Riley and Gerald Page and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Daniel M. Griffith

25 papers receiving 847 citations

Hit Papers

cooccur: Probabilistic Species Co-Occurrence Analysis inR 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel M. Griffith United States 13 314 250 244 209 165 25 854
Fernando Biganzoli Argentina 13 258 0.8× 222 0.9× 182 0.7× 242 1.2× 239 1.4× 45 877
Pedro M. Tognetti Argentina 14 295 0.9× 367 1.5× 202 0.8× 269 1.3× 323 2.0× 28 935
Ignacio M. Barberis Argentina 14 303 1.0× 357 1.4× 172 0.7× 198 0.9× 396 2.4× 53 968
Çağatay Tavşanoğlu Türkiye 16 313 1.0× 471 1.9× 456 1.9× 427 2.0× 300 1.8× 56 1.1k
Jordi Bartolomé Spain 18 504 1.6× 247 1.0× 215 0.9× 104 0.5× 121 0.7× 65 909
Shuaifeng Li China 22 257 0.8× 393 1.6× 291 1.2× 392 1.9× 162 1.0× 76 1.2k
Mariano Oyarzábal Argentina 13 264 0.8× 302 1.2× 212 0.9× 215 1.0× 201 1.2× 24 835
Chunrong Mi China 19 495 1.6× 235 0.9× 325 1.3× 147 0.7× 231 1.4× 42 1.0k
Olivier Flores France 21 209 0.7× 558 2.2× 292 1.2× 181 0.9× 303 1.8× 50 1.1k

Countries citing papers authored by Daniel M. Griffith

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Griffith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel M. Griffith

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel M. Griffith. A scholar is included among the top collaborators of Daniel M. Griffith 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 Daniel M. Griffith. Daniel M. Griffith 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.
Pau, Stephanie, Brent R. Helliker, Jesse B. Nippert, et al.. (2025). Hyperspectral leaf reflectance of grasses varies with evolutionary lineage more than with site. Ecosphere. 16(4). 1 indexed citations
2.
Luo, Xiangzhong, Haoran Zhou, Jiaqi Tian, et al.. (2024). Mapping the global distribution of C4 vegetation using observations and optimality theory. Nature Communications. 15(1). 1219–1219. 24 indexed citations
3.
Pau, Stephanie, Jesse B. Nippert, Brent R. Helliker, et al.. (2024). Grass Evolutionary Lineages Can Be Identified Using Hyperspectral Leaf Reflectance. Journal of Geophysical Research Biogeosciences. 129(2). 1 indexed citations
4.
Pau, Stephanie, et al.. (2023). Longleaf pine savannas reveal biases in current understanding of savanna biogeography. Global Ecology and Biogeography. 32(11). 2047–2052. 3 indexed citations
5.
Nippert, Jesse B., et al.. (2023). Evolutionary lineage explains trait variation among 75 coexisting grass species. New Phytologist. 239(3). 875–887. 11 indexed citations
6.
Griffith, Daniel M., Kristin B. Byrd, V. Thomas Parker, et al.. (2023). Variation in Leaf Reflectance Spectra Across the California Flora Partitioned by Evolutionary History, Geographic Origin, and Deep Time. Journal of Geophysical Research Biogeosciences. 128(2). 4 indexed citations
7.
Still, Christopher J., Gerald Page, Bharat Rastogi, et al.. (2022). No evidence of canopy-scale leaf thermoregulation to cool leaves below air temperature across a range of forest ecosystems. Proceedings of the National Academy of Sciences. 119(38). e2205682119–e2205682119. 54 indexed citations
8.
Still, Christopher J., Bharat Rastogi, Gerald Page, et al.. (2021). Imaging canopy temperature: shedding (thermal) light on ecosystem processes. New Phytologist. 230(5). 1746–1753. 55 indexed citations
9.
Pau, Stephanie, Jesse B. Nippert, Daniel M. Griffith, et al.. (2021). Poor relationships between NEON Airborne Observation Platform data and field‐based vegetation traits at a mesic grassland. Ecology. 103(2). e03590–e03590. 12 indexed citations
10.
Anderegg, Leander D. L., Daniel M. Griffith, Jeannine Cavender‐Bares, et al.. (2021). Representing plant diversity in land models: An evolutionary approach to make “Functional Types” more functional. Global Change Biology. 28(8). 2541–2554. 39 indexed citations
11.
Griffith, Daniel M., Colin P. Osborne, Erika J. Edwards, et al.. (2020). Lineage‐based functional types: characterising functional diversity to enhance the representation of ecological behaviour in Land Surface Models. New Phytologist. 228(1). 15–23. 21 indexed citations
12.
Quigley, Kathleen M., Daniel M. Griffith, George L. Donati, & T. Michael Anderson. (2020). Soil nutrients and precipitation are major drivers of global patterns of grass leaf silicification. Ecology. 101(6). e03006–e03006. 52 indexed citations
13.
Griffith, Daniel M., et al.. (2018). Intraspecific Trait Variability in Andropogon gerardii, a Dominant Grass Species in the US Great Plains. Frontiers in Ecology and Evolution. 6. 12 indexed citations
14.
Still, Christopher J., Jennifer M. Cotton, & Daniel M. Griffith. (2018). Assessing earth system model predictions of C4 grass cover in North America: From the glacial era to the end of this century. Global Ecology and Biogeography. 28(2). 145–157. 12 indexed citations
15.
Anderson, T. Michael, Daniel M. Griffith, James D. M. Speed, et al.. (2018). The burning question: does fire affect habitat selection and forage preference of the black rhinoceros Diceros bicornis in East African savannahs?. Oryx. 54(2). 234–243. 14 indexed citations
16.
Griffith, Daniel M., T. Michael Anderson, & E. William Hamilton. (2017). Ungulate grazing drives higher ramet turnover in sodium‐adapted Serengeti grasses. Journal of Vegetation Science. 28(4). 815–823. 7 indexed citations
17.
Griffith, Daniel M., Joseph A. Veech, & Charles J. Marsh. (2016). cooccur: Probabilistic Species Co-Occurrence Analysis inR. Journal of Statistical Software. 69(Code Snippet 2). 422 indexed citations breakdown →
18.
Griffith, Daniel M., Kathleen M. Quigley, & T. Michael Anderson. (2016). Leaf thickness controls variation in leaf mass per area (LMA) among grazing-adapted grasses in Serengeti. Oecologia. 181(4). 1035–1040. 31 indexed citations
19.
Griffith, Daniel M. & T. Michael Anderson. (2013). Responses of African Grasses in the Genus Sporobolus to Defoliation and Sodium Stress: Tradeoffs, Cross-Tolerance, or Independent Responses?. SHILAP Revista de lepidopterología. 2(4). 712–725. 4 indexed citations
20.
Rubin, Carol, Michael A. McGeehin, Adrianne Holmes, et al.. (2001). Emerging areas of research reported during the CDC National Conference on Pfiesteria: from biology to public health.. Environmental Health Perspectives. 109(suppl 5). 633–637. 7 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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