James H. Roberds

986 total citations
42 papers, 770 citations indexed

About

James H. Roberds is a scholar working on Genetics, Plant Science and Nature and Landscape Conservation. According to data from OpenAlex, James H. Roberds has authored 42 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Genetics, 16 papers in Plant Science and 10 papers in Nature and Landscape Conservation. Recurrent topics in James H. Roberds's work include Evolution and Genetic Dynamics (12 papers), Mathematical and Theoretical Epidemiology and Ecology Models (10 papers) and Forest ecology and management (8 papers). James H. Roberds is often cited by papers focused on Evolution and Genetic Dynamics (12 papers), Mathematical and Theoretical Epidemiology and Ecology Models (10 papers) and Forest ecology and management (8 papers). James H. Roberds collaborates with scholars based in United States, Sweden and Canada. James H. Roberds's co-authors include Gene Namkoong, Hans‐Rolf Gregorius, James F. Selgrade, John Bishir, Gösta Eriksson, Martin Ziehe, Brian L. Strom, Steven E. McKeand, Thomas L. Kubisiak and M. Thompson Conkle and has published in prestigious journals such as The American Naturalist, Genetics and Forest Ecology and Management.

In The Last Decade

James H. Roberds

38 papers receiving 625 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James H. Roberds United States 17 280 250 228 195 153 42 770
E. Rojas Bolivia 6 129 0.5× 198 0.8× 229 1.0× 173 0.9× 75 0.5× 10 748
Martin Ziehe Germany 15 186 0.7× 294 1.2× 162 0.7× 114 0.6× 58 0.4× 34 635
Dale R. Lockwood United States 13 114 0.4× 113 0.5× 140 0.6× 219 1.1× 193 1.3× 16 611
Étienne Klein France 12 129 0.5× 209 0.8× 309 1.4× 69 0.4× 67 0.4× 24 634
Eizi Kuno Japan 16 257 0.9× 207 0.8× 233 1.0× 253 1.3× 70 0.5× 33 931
Fugo Takasu Japan 13 119 0.4× 170 0.7× 170 0.7× 314 1.6× 52 0.3× 26 664
Thibaut Capblancq France 13 163 0.6× 514 2.1× 143 0.6× 226 1.2× 95 0.6× 22 869
Alejandra Moreno‐Letelier Mexico 18 158 0.6× 333 1.3× 338 1.5× 222 1.1× 82 0.5× 34 964
C. E. Magnuson United States 11 69 0.2× 134 0.5× 317 1.4× 289 1.5× 146 1.0× 21 894
Stephanie A. Foré United States 13 201 0.7× 162 0.6× 147 0.6× 129 0.7× 62 0.4× 31 571

Countries citing papers authored by James H. Roberds

Since Specialization
Citations

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

Fields of papers citing papers by James H. Roberds

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James H. Roberds. 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 James H. Roberds. The network helps show where James H. Roberds may publish in the future.

Co-authorship network of co-authors of James H. Roberds

This figure shows the co-authorship network connecting the top 25 collaborators of James H. Roberds. A scholar is included among the top collaborators of James H. Roberds 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 James H. Roberds. James H. Roberds 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.
Selgrade, James F. & James H. Roberds. (2019). Uniqueness of polymorphism for a discrete, selection-migration model with genetic dominance. Advanced studies in pure mathematics. 319–331.
2.
Selgrade, James F., et al.. (2009). Dynamical behaviour of a discrete selection-migration model with arbitrary dominance. The Journal of Difference Equations and Applications. 15(4). 371–385.
3.
Roberds, James H., et al.. (2003). Estimates of genetic parameters for oleoresin and growth traits in juvenile loblolly pine. Canadian Journal of Forest Research. 33(12). 2469–2476. 58 indexed citations
4.
Kubisiak, Thomas L. & James H. Roberds. (2003). Genetic Variation in Natural Populations of American Chestnut. 4 indexed citations
5.
Roberds, James H., et al.. (1997). Selection of RAPD markers for investigation of genetic population structure in fusiform rust fungus infecting loblolly pine. 1 indexed citations
6.
Bishir, John & James H. Roberds. (1997). Limit theorems and a general framework for risk analysis in clonal forestry. Mathematical Biosciences. 142(1). 1–11. 11 indexed citations
7.
Selgrade, James F. & James H. Roberds. (1996). Lumped-density population models of pioneer-climax type and stability analysis of Hopf bifurcations. Mathematical Biosciences. 135(1). 1–21. 17 indexed citations
8.
Bishir, John & James H. Roberds. (1995). Analysis of failure time in clonally propagated plant populations. Mathematical Biosciences. 125(1). 109–125. 10 indexed citations
9.
Roberds, James H., et al.. (1991). Effective number of pollen parents in clonal seed orchards. Theoretical and Applied Genetics. 82(3). 313–320. 21 indexed citations
10.
Roberds, James H., et al.. (1990). Height response functions for white ash provenances grown at different latitudes.. Silvae genetica. 39. 121–129. 22 indexed citations
11.
Roberds, James H., Gene Namkoong, & Tore Skrøppa. (1990). Genetic analysis of risk in clonal populations of forest trees. Theoretical and Applied Genetics. 79(6). 841–848. 17 indexed citations
12.
Ziehe, Martin & James H. Roberds. (1989). Inbreeding depression due to overdominance in partially self-fertilizing plant populations.. Genetics. 121(4). 861–868. 44 indexed citations
13.
Roberds, James H. & Gene Namkoong. (1989). Population selection to maximize value in an environmental gradient. Theoretical and Applied Genetics. 77(1). 128–134. 12 indexed citations
14.
Gregorius, Hans‐Rolf & James H. Roberds. (1986). Measurement of genetical differentiation among subpopulations. Theoretical and Applied Genetics. 71(6). 826–834. 104 indexed citations
15.
Namkoong, Gene, et al.. (1982). Population genetic structure of Nantucket pine tip moth. Theoretical and Applied Genetics. 63(1). 1–7. 5 indexed citations
16.
Roberds, James H., Gene Namkoong, & Hyun‐Ju Kang. (1980). Family losses following truncation selection in populations of half-sib families. Silvae genetica. 29. 104–107. 1 indexed citations
17.
Namkoong, Gene, et al.. (1979). Isozyme Variations in Populations of Southern Pine Beetles. Forest Science. 25(1). 197–203. 3 indexed citations
18.
Roberds, James H., Gene Namkoong, & C. B. Davey. (1976). Family Variation in Growth Response of Loblolly Pine to Fertilizing With Urea. Forest Science. 22(3). 291–299. 7 indexed citations
19.
Namkoong, Gene & James H. Roberds. (1974). Extinction Probabilities and the Changing Age Structure of Redwood Forests. The American Naturalist. 108(961). 355–368. 19 indexed citations
20.
Adams, W. T., James H. Roberds, & Bruce J. Zobel. (1973). Intergenotypic interactions among families of loblolly pine (Pinus taeda L.). Theoretical and Applied Genetics. 43(7). 319–322. 24 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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