Daniel C. Dey

5.6k total citations
187 papers, 3.9k citations indexed

About

Daniel C. Dey is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Ecology. According to data from OpenAlex, Daniel C. Dey has authored 187 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 145 papers in Nature and Landscape Conservation, 123 papers in Global and Planetary Change and 59 papers in Ecology. Recurrent topics in Daniel C. Dey's work include Fire effects on ecosystems (98 papers), Ecology and Vegetation Dynamics Studies (76 papers) and Forest ecology and management (72 papers). Daniel C. Dey is often cited by papers focused on Fire effects on ecosystems (98 papers), Ecology and Vegetation Dynamics Studies (76 papers) and Forest ecology and management (72 papers). Daniel C. Dey collaborates with scholars based in United States, Canada and Iran. Daniel C. Dey's co-authors include Callie J. Schweitzer, John M. Kabrick, Richard P. Guyette, William C. Parker, Michael C. Stambaugh, Douglass F. Jacobs, Randy G. Jensen, Justin L. Hart, Rose‐Marie Muzika and Patrick H. Brose and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Daniel C. Dey

176 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel C. Dey United States	33	2.7k	2.5k	1.3k	585	563	187	3.9k
Philip J. Burton Canada	34	2.4k 0.9×	2.7k 1.1×	1.5k 1.1×	599 1.0×	930 1.7×	77	4.4k
Dominik Thom Germany	24	1.8k 0.7×	2.7k 1.1×	1.1k 0.9×	343 0.6×	853 1.5×	51	3.8k
Alain Leduc Canada	35	2.2k 0.8×	2.8k 1.1×	1.3k 1.0×	395 0.7×	1.3k 2.3×	102	4.1k
Klaus J. Puettmann United States	41	3.2k 1.2×	3.2k 1.3×	1.1k 0.9×	503 0.9×	1.7k 3.0×	128	5.0k
Tommaso Jucker United Kingdom	32	2.1k 0.8×	1.7k 0.7×	990 0.8×	333 0.6×	403 0.7×	74	3.4k
Joseph B. Fontaine Australia	33	2.0k 0.7×	3.1k 1.2×	2.0k 1.6×	511 0.9×	355 0.6×	89	4.1k
Lluís Coll Spain	33	1.7k 0.6×	2.1k 0.8×	563 0.4×	859 1.5×	327 0.6×	95	3.3k
Barton D. Clinton United States	30	1.9k 0.7×	1.9k 0.8×	1.8k 1.4×	841 1.4×	688 1.2×	58	4.0k
Phillip J. van Mantgem United States	28	2.4k 0.9×	3.4k 1.3×	1.4k 1.1×	480 0.8×	365 0.6×	62	4.3k
Chadwick Dearing Oliver United States	24	2.3k 0.9×	2.1k 0.8×	672 0.5×	337 0.6×	735 1.3×	67	3.4k

Countries citing papers authored by Daniel C. Dey

Since Specialization

Citations

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

Fields of papers citing papers by Daniel C. Dey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel C. Dey

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel C. Dey. A scholar is included among the top collaborators of Daniel C. Dey 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 C. Dey. Daniel C. Dey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Dey, Daniel C., et al.. (2025). Sublethal effects of agricultural insecticides on honey bee behavior and colony sustainability: a review. Journal of Apicultural Research. 65(1). 176–185.

Dey, Daniel C., et al.. (2025). Regeneration Response to Shelterwood-Burn Treatments in a Dry Oak-Dominated Forest. Forest Science. 71(3). 371–396.

Pile, Lauren S., Daniel C. Dey, Michael C. Stambaugh, Frank R. Thompson, & J. Morgan Varner. (2024). Managing forward while looking back: reopening closed forests to open woodlands and savannas. Fire Ecology. 20(1). 6 indexed citations

Hart, Justin L., et al.. (2024). Prescribed fire effects on understory woody plants and fuels in Quercus–Pinus mixedwoods. Canadian Journal of Forest Research. 54(10). 1100–1113. 1 indexed citations

Pile, Lauren S., David R. Coyle, Daniel C. Dey, et al.. (2023). Invasive plant management in eastern North American Forests: A systematic review. Forest Ecology and Management. 550. 121517–121517. 8 indexed citations

Knapp, Benjamin O., et al.. (2023). Do forest health threats affect upland oak regeneration and recruitment? Advance reproduction is a key co-morbidity. Forest Ecosystems. 10. 100152–100152. 3 indexed citations

Dey, Daniel C., et al.. (2023). Overview of climate disclosures. British Actuarial Journal. 28. 6 indexed citations

Saunders, Michael R., et al.. (2023). Prescribed Fire Causes Wounding and Minor Tree Quality Degradation in Oak Forests. Forests. 14(2). 227–227. 2 indexed citations

Naghdi, Ramin, et al.. (2022). Soil Changes and Plants Reaction to Road Construction in a Temperate Mixed Forest. SHILAP Revista de lepidopterología. 73(1). 2–10.

10.

Omidipour, Reza, et al.. (2020). Prioritizing woody species for the rehabilitation of arid lands in western Iran based on soil properties and carbon sequestration. Journal of Arid Land. 12(4). 640–652. 5 indexed citations

11.

Hanberry, Brice B., Daniel C. Dey, & Hong S. He. (2014). The history of widespread decrease in oak dominance exemplified in a grassland–forest landscape. The Science of The Total Environment. 476-477. 591–600. 22 indexed citations

12.

Dey, Daniel C., Alejandro A. Royo, Patrick H. Brose, et al.. (2010). An ecologically based approach to oak silviculture: a synthesis of 50 years of oak ecosystem research in North America. Colombia Forestal. 13(2). 201–222. 19 indexed citations

13.

Parker, William C. & Daniel C. Dey. (2008). Influence of overstory density on ecophysiology of red oak (Quercus rubra) and sugar maple (Acer saccharum) seedlings in central Ontario shelterwoods. Tree Physiology. 28(5). 797–804. 48 indexed citations

14.

Larsen, David R., et al.. (2007). The state of mixed shortleaf pine-upland oak management in Missouri. Biochimica et Biophysica Acta. 15. 38–49. 2 indexed citations

15.

Dey, Daniel C., et al.. (2003). Comparison of site preparation methods and stock types for artificial regeneration of oaks in bottomlands. 234. 13 indexed citations

16.

Spetich, Martín A., et al.. (2002). Competitive Capacity of Quercus rubra L. Planted in Arkansas' Boston Mountains. Forest Science. 48(3). 504–517. 64 indexed citations

17.

Larsen, David R., Stephen R. Shifley, Frank R. Thompson, et al.. (1997). 10 Guidelines for Ecosystem Researchers: Lessons from Missouri. Journal of Forestry. 95(4). 8 indexed citations

18.

Larsen, David R., Stephen R. Shifley, Frank R. Thompson, et al.. (1997). Ten Guidelines for Ecosystem Researchers: Lessons from Missouri. Journal of Forestry. 95(4). 4–9. 5 indexed citations

19.

Dey, Daniel C. & Richard P. Guyette. (1996). Early fire history near Seguin Falls, Ontario. 63(55). 713–6. 4 indexed citations

20.

Dwyer, John, Daniel C. Dey, & William Β. Kurtz. (1993). Profitability of Precommercially Thinning Oak Stump Sprouts. Northern Journal of Applied Forestry. 10(4). 179–183. 2 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.

Explore authors with similar magnitude of impact