William W. Hargrove

8.0k total citations
102 papers, 5.5k citations indexed

About

William W. Hargrove is a scholar working on Ecology, Global and Planetary Change and Ecological Modeling. According to data from OpenAlex, William W. Hargrove has authored 102 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Ecology, 43 papers in Global and Planetary Change and 36 papers in Ecological Modeling. Recurrent topics in William W. Hargrove's work include Species Distribution and Climate Change (36 papers), Remote Sensing in Agriculture (22 papers) and Ecology and Vegetation Dynamics Studies (22 papers). William W. Hargrove is often cited by papers focused on Species Distribution and Climate Change (36 papers), Remote Sensing in Agriculture (22 papers) and Ecology and Vegetation Dynamics Studies (22 papers). William W. Hargrove collaborates with scholars based in United States, Australia and Türkiye. William W. Hargrove's co-authors include Forrest M. Hoffman, Robert H. Gardner, Monica G. Turner, William H. Romme, Matthew C. Fitzpatrick, A. Townsend Peterson, Enrique Martínez‐Meyer, D. A. Crossley, John Pickering and K. L. Prestegaard and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Ecology.

In The Last Decade

William W. Hargrove

99 papers receiving 5.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William W. Hargrove United States 36 2.7k 2.5k 1.9k 1.3k 573 102 5.5k
Eric J. Gustafson United States 37 4.1k 1.5× 2.2k 0.9× 2.6k 1.4× 654 0.5× 577 1.0× 105 5.9k
Thomas C. Edwards United States 23 1.7k 0.6× 3.2k 1.3× 2.2k 1.1× 2.2k 1.6× 363 0.6× 53 6.4k
Bruce T. Milne United States 29 3.0k 1.1× 2.9k 1.1× 2.3k 1.2× 532 0.4× 465 0.8× 43 6.1k
Florian Härtig Germany 42 1.8k 0.7× 2.5k 1.0× 2.6k 1.3× 2.0k 1.5× 437 0.8× 116 6.9k
Jon Olav Vik Norway 22 1.8k 0.7× 3.1k 1.2× 1.0k 0.5× 1.1k 0.8× 495 0.9× 45 5.2k
Kerstin Wiegand Germany 37 2.5k 0.9× 2.1k 0.8× 3.0k 1.6× 661 0.5× 358 0.6× 99 5.7k
Andreas Huth Germany 42 3.2k 1.2× 1.8k 0.7× 3.2k 1.6× 662 0.5× 409 0.7× 128 6.0k
Andrew R. Solow United States 50 2.9k 1.1× 3.3k 1.3× 1.7k 0.9× 813 0.6× 1.0k 1.8× 243 8.4k
Andrew J. Hansen United States 48 4.4k 1.7× 3.8k 1.5× 2.7k 1.4× 1.2k 0.9× 390 0.7× 140 8.2k
Jin Li China 26 1.2k 0.5× 1.8k 0.7× 1.1k 0.5× 1.6k 1.2× 501 0.9× 97 5.5k

Countries citing papers authored by William W. Hargrove

Since Specialization
Citations

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

Fields of papers citing papers by William W. Hargrove

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William W. Hargrove. 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 William W. Hargrove. The network helps show where William W. Hargrove may publish in the future.

Co-authorship network of co-authors of William W. Hargrove

This figure shows the co-authorship network connecting the top 25 collaborators of William W. Hargrove. A scholar is included among the top collaborators of William W. Hargrove 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 William W. Hargrove. William W. Hargrove 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.
Kumar, Jitendra, Amy Breen, Forrest M. Hoffman, et al.. (2025). PAVC: The foundation for a Pan-Arctic Vegetation Cover database. Scientific Data. 12(1). 1271–1271.
3.
Potter, Kevin M., William W. Hargrove, & Frank Koch. (2020). Predicting climate change extirpation risk for central and southern Appalachian forest tree species. Figshare. 179–189. 3 indexed citations
4.
Armistead, Jennifer S., et al.. (2018). Improving Forest Management Through Early Detection of Bark Beetle Outbreaks in the Southeastern United States Using Earth Observations. AGU Fall Meeting Abstracts. 2018. 1 indexed citations
5.
Sreepathi, Sarat, et al.. (2018). EarthInsights: Parallel Clustering of Large Earth Science Datasets on the Summit Supercomputer. AGU Fall Meeting Abstracts. 2018. 1 indexed citations
6.
Hoffman, Forrest M., et al.. (2017). Integrating Statistical and Expert Knowledge to Develop Phenoregions for the Continental United States. Japan Geoscience Union. 2 indexed citations
7.
Kumar, Jitendra, Forrest M. Hoffman, William W. Hargrove, & Nathan Collier. (2016). Understanding the representativeness of FLUXNET for upscalingcarbon flux from eddy covariance measurements. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 49 indexed citations
8.
Spruce, Joseph P., et al.. (2015). MODIS NDVI Data, Smoothed and Gap-filled, for the Conterminous US: 2000-2015. Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics. 26 indexed citations
9.
Hargrove, William W., et al.. (2014). Predominant Environmental Factors Controlling and Predicting Phenological Seasonality Across the CONUS over the Last Decade. 2014 AGU Fall Meeting. 2014. 1 indexed citations
10.
Poco, Jorge, Aritra Dasgupta, Yaxing Wei, et al.. (2014). Visual Reconciliation of Alternative Similarity Spaces in Climate Modeling. IEEE Transactions on Visualization and Computer Graphics. 20(12). 1923–1932. 23 indexed citations
11.
Potter, Kevin M. & William W. Hargrove. (2013). Quantitative assessment of predicted climate change pressure on North American tree species. 5(2). 151–169. 1 indexed citations
12.
Biondi, Francesco, et al.. (2013). Integrating Statistical and Expert Knowledge to Develop Phenoregions for the Continental United States. AGUFM. 2013. 2 indexed citations
13.
Hargrove, William W., et al.. (2009). Toward a national early warning system for forest disturbances using remotely sensed canopy phenology. Photogrammetric Engineering & Remote Sensing. 75(10). 1150–1156. 66 indexed citations
14.
Efroymson, Rebecca A., William W. Hargrove, & Glenn W. Suter. (2008). The Apache Longbow–Hellfire Missile Test at Yuma Proving Ground: Ecological Risk Assessment for Helicopter Overflight. Human and Ecological Risk Assessment An International Journal. 14(5). 871–897. 3 indexed citations
15.
Mahajan, Salil, Forrest M. Hoffman, William W. Hargrove, S.W. Christensen, & Robert Mills. (2007). A Cluster Analysis Approach to Comparing Atmospheric Radiation Measurement (ARM) Observations with General Circulation Model (GCM) Results. AGU Fall Meeting Abstracts. 2007. 1 indexed citations
16.
Hoffman, Forrest M., Inez Fung, Peter Thornton, et al.. (2006). Preliminary Results from the CCSM Carbon-Land Model Intercomparison Project (C- LAMP). AGUFM. 2006. 2 indexed citations
17.
Hargrove, William W., et al.. (2005). Development of a Domain Map for Nodes of the National Ecological Observatory Network (NEON). AGU Fall Meeting Abstracts. 2005. 1 indexed citations
18.
Saxon, Earl C., A. B. Baker, William W. Hargrove, Forrest M. Hoffman, & Chris Zganjar. (2004). Mapping environments at risk under different global climate change scenarios. Ecology Letters. 8(1). 53–60. 81 indexed citations
19.
Romme, William H., Monica G. Turner, Robert H. Gardner, et al.. (1997). A rare episode of sexual reproduction in aspen (Populus tremuloides Michx.) following the 1988 Yellowstone fires. Natural Areas Journal. 17(1). 17–25. 73 indexed citations
20.
Plotnick, Roy E., Robert H. Gardner, William W. Hargrove, K. L. Prestegaard, & Martin A. Perlmutter. (1996). Lacunarity analysis: A general technique for the analysis of spatial patterns. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 53(5). 5461–5468. 429 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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