Philip M. Dixon

17.6k total citations · 2 hit papers
189 papers, 11.7k citations indexed

About

Philip M. Dixon is a scholar working on Nature and Landscape Conservation, Plant Science and Ecology. According to data from OpenAlex, Philip M. Dixon has authored 189 papers receiving a total of 11.7k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Nature and Landscape Conservation, 50 papers in Plant Science and 28 papers in Ecology. Recurrent topics in Philip M. Dixon's work include Ecology and Vegetation Dynamics Studies (40 papers), Plant and animal studies (18 papers) and Weed Control and Herbicide Applications (15 papers). Philip M. Dixon is often cited by papers focused on Ecology and Vegetation Dynamics Studies (40 papers), Plant and animal studies (18 papers) and Weed Control and Herbicide Applications (15 papers). Philip M. Dixon collaborates with scholars based in United States, United Kingdom and France. Philip M. Dixon's co-authors include Stephen P. Ellner, Michael R. Easterling, Matt Liebman, J. N. Perry, Kenneth J. Moore, Timothy H. Keitt, Ottar N. Bjørnstad, Michael C. Newman, Rebecca R. Sharitz and Thomas Mitchell‐Olds and has published in prestigious journals such as Journal of the American Statistical Association, Nature Biotechnology and PLoS ONE.

In The Last Decade

Philip M. Dixon

183 papers receiving 11.2k citations

Hit Papers

VEGAN, a package of R fun... 2000 2026 2008 2017 2003 2000 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philip M. Dixon United States 45 3.2k 2.8k 2.4k 2.2k 1.6k 189 11.7k
Jean Thioulouse France 43 2.5k 0.8× 2.1k 0.8× 2.0k 0.8× 1.4k 0.7× 1.1k 0.7× 113 8.2k
Jessica L. Green United States 42 5.7k 1.8× 1.6k 0.6× 3.8k 1.5× 1.9k 0.9× 1.7k 1.0× 51 11.5k
Frank Bretz Switzerland 40 3.1k 1.0× 2.6k 1.0× 1.6k 0.6× 2.3k 1.1× 2.9k 1.8× 185 17.3k
Paul D. Ryan Ireland 24 5.5k 1.7× 3.0k 1.1× 2.1k 0.9× 2.6k 1.2× 3.1k 2.0× 56 18.5k
Øyvind Hammer Norway 32 6.0k 1.9× 3.1k 1.1× 2.2k 0.9× 2.9k 1.3× 3.4k 2.1× 124 19.9k
Jay T. Lennon United States 48 7.3k 2.3× 2.8k 1.0× 4.0k 1.6× 1.1k 0.5× 1.2k 0.7× 140 12.9k
Cedric E. Ginestet United Kingdom 17 2.0k 0.6× 1.3k 0.5× 2.1k 0.9× 796 0.4× 943 0.6× 31 11.5k
James Stegen United States 46 8.9k 2.8× 2.1k 0.8× 4.8k 2.0× 2.5k 1.2× 1.8k 1.1× 147 14.2k
Ramon C. Littell United States 45 3.4k 1.1× 5.1k 1.9× 1.6k 0.7× 3.0k 1.4× 2.5k 1.6× 173 23.6k
François Husson France 24 1.6k 0.5× 1.9k 0.7× 1.4k 0.6× 773 0.4× 997 0.6× 70 10.3k

Countries citing papers authored by Philip M. Dixon

Since Specialization
Citations

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

Fields of papers citing papers by Philip M. Dixon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip M. Dixon

This figure shows the co-authorship network connecting the top 25 collaborators of Philip M. Dixon. A scholar is included among the top collaborators of Philip M. Dixon 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 Philip M. Dixon. Philip M. Dixon 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.
Topp, Christopher N., et al.. (2025). Breeding for high maize yields indirectly boosting root carbon in the US Corn Belt since the 1980s. Field Crops Research. 323. 109774–109774. 6 indexed citations
2.
Hoef, Jay M. Ver, et al.. (2024). Marginal inference for hierarchical generalized linear mixed models with patterned covariance matrices using the Laplace approximation. Environmetrics. 35(7). e2872–e2872. 4 indexed citations
3.
Miller, Bradley A., et al.. (2024). Leveraging soil mapping and machine learning to improve spatial adjustments in plant breeding trials. Crop Science. 64(6). 3135–3152. 3 indexed citations
4.
Topp, Christopher N., et al.. (2024). Do newer maize hybrids grow roots faster and deeper?. Crop Science. 64(3). 1559–1576. 14 indexed citations
5.
Dixon, Philip M., et al.. (2023). Monitoring the temporal changes in herbicide‐resistant Amaranthus tuberculatus : a landscape‐scale probability‐based estimation in Iowa. Pest Management Science. 79(12). 4819–4827. 4 indexed citations
6.
Dixon, Philip M., et al.. (2023). Intra-Annual Variability of Common Carp and Bigmouth Buffalo Electrofishing Data in Shallow Lakes. North American Journal of Fisheries Management. 43(2). 556–568. 1 indexed citations
7.
Weber, Michael J., et al.. (2023). WhoseEgg: classification software for invasive carp eggs. PeerJ. 11. e14787–e14787.
8.
Dixon, Philip M., et al.. (2022). Statistical inference for the utilization distribution overlap index ( UDOI ). Methods in Ecology and Evolution. 13(5). 1082–1092. 4 indexed citations
9.
Niemi, Jarad, et al.. (2021). Joint Modeling of Distances and Times in Point-Count Surveys. Journal of Agricultural Biological and Environmental Statistics. 26(2). 289–305. 4 indexed citations
10.
Batzer, Jean C., et al.. (2020). Precipitation Impacts Dissemination of Three Sooty Blotch and Flyspeck Taxa on Apple Fruit. Plant Disease. 104(9). 2398–2405. 2 indexed citations
11.
Archontoulis, Sotirios V., Andrew W. Lenssen, Kenneth J. Moore, et al.. (2020). Modeling perennial groundcover effects on annual maize grain crop growth with the Agricultural Production Systems sIMulator. Agronomy Journal. 112(3). 1895–1910. 16 indexed citations
12.
Widrlechner, Mark P., et al.. (2020). Can climatic variables improve phenological predictions for butterfly species?. Journal of Insect Conservation. 24(2). 375–383. 3 indexed citations
13.
Dixon, Philip M., et al.. (2019). Characterizing urban butterfly populations: the case for purposive point-count surveys. Urban Ecosystems. 22(6). 1083–1096. 7 indexed citations
14.
Visser, Marco D., Sean M. McMahon, Cory Merow, et al.. (2015). Speeding Up Ecological and Evolutionary Computations in R; Essentials of High Performance Computing for Biologists. PLoS Computational Biology. 11(3). e1004140–e1004140. 27 indexed citations
15.
Batzer, Jean C., et al.. (2010). Effect of temperature and nutrient concentration on the growth of six species of sooty blotch and flyspeck fungi. Phytopathologia Mediterranea. 49(1). 3–10. 16 indexed citations
16.
Bais, Preeti, Kun He, Ricardo Leitão, et al.. (2010). PlantMetabolomics.org: A Web Portal for Plant Metabolomics Experiments. PLANT PHYSIOLOGY. 152(4). 1807–1816. 56 indexed citations
17.
Dixon, Philip M.. (2006). Nondetects and Data Analysis: Statistics for Censored Environmental Data. Dennis R. Helsel. RePEc: Research Papers in Economics. 101. 401–401. 2 indexed citations
18.
Dixon, Philip M., et al.. (2003). Survival and Recovery of Listeria monocytogenes on Ready-to-Eat Meats Inoculated with a Desiccated and Nutritionally Depleted Dustlike Vector. Journal of Food Protection. 66(6). 962–969. 25 indexed citations
19.
Dixon, Philip M.. (2003). VEGAN, a package of R functions for community ecology. Journal of Vegetation Science. 14(6). 927–930. 4512 indexed citations breakdown →
20.
Russell, James R., et al.. (2002). Effects of Grazing Crop Residues of bt-Corn Hybrids on Performance of Pregnant Beef Cows. Iowa State University Digital Repository (Iowa State University). 1(1). 4 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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