Jeremy M. Beaulieu Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Federal Grant PI High Impact

Associate Professor

University of Arkansas at Fayetteville

faculty

33 h-index 62 pubs 6,090 cited

Research Areas

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OverviewAI-generated summary

Jeremy M. Beaulieu's research focuses on evolutionary biology, particularly the evolutionary responses of life-history strategies in flowering plants to climatic variability. He also investigates the historical drivers of latitudinal gradients in polyploid plant biogeography and explores how seed dispersal modes influence the climatic niche evolution of flowering plants. Beaulieu's work has also addressed methodological aspects of evolutionary research, including developing novel methods for jointly modeling the evolution of discrete and continuous traits and reducing biases in false correlations between discrete characters. His research has been supported by federal grants, including a National Science Foundation award for a collaborative project investigating the physics-driven form of Pinus foliage using phylogenetics, experiment, and modeling.

Beaulieu holds an h-index of 33 and has accumulated over 6,000 citations across his 62 publications. He is recognized as a highly cited researcher. He collaborates with other researchers at the University of Arkansas at Fayetteville, including Eric R. Hagen, with whom he shares five publications. Beaulieu leads a research group and maintains an active lab website, indicating ongoing research activities.

Metrics

h-index: 33
Publications: 62
Citations: 6,090

Selected Publications

New beginnings for dead ends: polyploidy, -SSE models and the dead-end hypothesis (2024) DOI
<i>Ad fontes</i>: divergence‐time estimation and the age of angiosperms (2024) DOI
Investigating historical drivers of latitudinal gradients in polyploid plant biogeography: A multiclade perspective (2024) DOI
Historical causes for the greater proportion of polyploid plants in higher latitudes (2023) DOI
The evolutionary responses of life‐history strategies to climatic variability in flowering plants (2023) DOI
A novel method for jointly modeling the evolution of discrete and continuous traits (2023) DOI
Long-term responses of life-history strategies to climatic variability in flowering plants (2022) DOI
Reducing the Biases in False Correlations Between Discrete Characters (2022) DOI
Synthesizing Existing Phylogenetic Data to Advance Phylogenetic Research in Orobanchaceae (2022) DOI
Linking mode of seed dispersal and climatic niche evolution in flowering plants (2021) DOI