Hugh J. Barclay

2.2k total citations
102 papers, 1.7k citations indexed

About

Hugh J. Barclay is a scholar working on Insect Science, Nature and Landscape Conservation and Ecology. According to data from OpenAlex, Hugh J. Barclay has authored 102 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Insect Science, 35 papers in Nature and Landscape Conservation and 33 papers in Ecology. Recurrent topics in Hugh J. Barclay's work include Insect behavior and control techniques (32 papers), Insect-Plant Interactions and Control (28 papers) and Forest ecology and management (27 papers). Hugh J. Barclay is often cited by papers focused on Insect behavior and control techniques (32 papers), Insect-Plant Interactions and Control (28 papers) and Forest ecology and management (27 papers). Hugh J. Barclay collaborates with scholars based in Canada, Austria and United States. Hugh J. Barclay's co-authors include M. Mackauer, P. van den Driessche, John W. Hargrove, Fangliang He, J. A. Trofymow, Marc J. B. Vreysen, Jorge Hendrichs, Patrick T. Gregory, Yousry A. El‐Kassaby and Gary J. R. Judd and has published in prestigious journals such as SHILAP Revista de lepidopterología, The American Naturalist and Journal of Applied Ecology.

In The Last Decade

Hugh J. Barclay

100 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hugh J. Barclay Canada 24 849 481 440 423 332 102 1.7k
Swen C. Renner Austria 18 230 0.3× 506 1.1× 626 1.4× 267 0.6× 485 1.5× 63 1.4k
Dominique Boucher Canada 15 251 0.3× 423 0.9× 288 0.7× 488 1.2× 351 1.1× 21 1.1k
C. A. Miller United States 21 378 0.4× 248 0.5× 939 2.1× 696 1.6× 203 0.6× 52 1.7k
Olav Skarpaas Norway 28 542 0.6× 1.1k 2.2× 893 2.0× 409 1.0× 755 2.3× 72 2.0k
William C. Cook United States 6 479 0.6× 332 0.7× 529 1.2× 157 0.4× 434 1.3× 12 1.5k
Mark C. Andersen United States 18 162 0.2× 529 1.1× 601 1.4× 212 0.5× 352 1.1× 36 1.3k
Kohji Yamamura Japan 21 723 0.9× 252 0.5× 594 1.4× 146 0.3× 455 1.4× 71 1.6k
Jeffrey S. Ward United States 20 325 0.4× 711 1.5× 368 0.8× 421 1.0× 149 0.4× 57 1.2k
R. F. Morris Canada 25 1.1k 1.3× 693 1.4× 1.1k 2.6× 442 1.0× 730 2.2× 54 2.4k
Barry J. Cooke Canada 21 770 0.9× 527 1.1× 1.3k 3.0× 850 2.0× 386 1.2× 47 1.9k

Countries citing papers authored by Hugh J. Barclay

Since Specialization
Citations

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

Fields of papers citing papers by Hugh J. Barclay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hugh J. Barclay. 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 Hugh J. Barclay. The network helps show where Hugh J. Barclay may publish in the future.

Co-authorship network of co-authors of Hugh J. Barclay

This figure shows the co-authorship network connecting the top 25 collaborators of Hugh J. Barclay. A scholar is included among the top collaborators of Hugh J. Barclay 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 Hugh J. Barclay. Hugh J. Barclay 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.
Li, Chao, Hugh J. Barclay, Shongming Huang, et al.. (2022). Modelling the stand dynamics after a thinning induced partial mortality: A compensatory growth perspective. Frontiers in Plant Science. 13. 1044637–1044637. 4 indexed citations
2.
Li, Chao, Hugh J. Barclay, Bernard D. Roitberg, & Robert G. Lalonde. (2020). Forest Productivity Enhancement and Compensatory Growth: A Review and Synthesis. Frontiers in Plant Science. 11. 575211–575211. 23 indexed citations
4.
Barclay, Hugh J., Donald O. McInnis, & Jorge Hendrichs. (2014). Modeling the Area-Wide Integration of Male Annihilation and the Simultaneous Release of Methyl Eugenol-ExposedBactroceraspp. Sterile Males. Annals of the Entomological Society of America. 107(1). 97–112. 38 indexed citations
5.
Barclay, Hugh J. & Marc J. B. Vreysen. (2012). The interaction of dispersal and control methods for the riverine tsetse fly Glossina palpalis gambiensis (Diptera: Glossinidae): a modelling study. Population Ecology. 55(1). 53–68. 9 indexed citations
6.
Barclay, Hugh J. & Marc J. B. Vreysen. (2011). Conclusions from a dynamic population model for tsetse: response to comments. Population Ecology. 53(2). 417–420. 4 indexed citations
7.
Li, Chao, et al.. (2007). Comparison of spatially explicit forest landscape fire disturbance models. Forest Ecology and Management. 254(3). 499–510. 16 indexed citations
8.
Barclay, Hugh J., et al.. (2006). Effects of fire size and frequency and habitat heterogeneity on forest age distribution. Ecological Modelling. 197(1-2). 207–220. 16 indexed citations
9.
Li, Chao, Hugh J. Barclay, Jianwei Liu, & Doug Campbell. (2005). Simulation of historical and current fire regimes in central Saskatchewan. Forest Ecology and Management. 208(1-3). 319–329. 15 indexed citations
10.
Li, Chao & Hugh J. Barclay. (2004). Simulation of interactions among fire, mountain pine beetle and lodgepole pine forest. 399. 1 indexed citations
11.
Marshall, Valin G., et al.. (2001). Abundance and diversity of soil nematodes in chronosequences of coastal Douglas-fir forests on Vancouver Island, British Columbia. Pedobiologia. 45(3). 193–212. 25 indexed citations
12.
Li, Chao & Hugh J. Barclay. (2001). FIRE DISTURBANCE PATTERNS AND FOREST AGE STRUCTURE. Natural Resource Modeling. 14(4). 495–521. 25 indexed citations
13.
Barclay, Hugh J. & Doug Goodman. (2000). Conversion of total to projected leaf area index in conifers. Canadian Journal of Botany. 78(4). 447–454. 8 indexed citations
14.
Barclay, Hugh J.. (1991). Combining pheromone‐baited and food‐baited traps for insect pest control: Effects of additional control by parasitoids. Population Ecology. 33(2). 287–306. 1 indexed citations
15.
Barclay, Hugh J.. (1987). Models for Pest Control Using Sex Pheromones and Chemosterilants. International Journal of Tropical Insect Science. 8(2). 187–196. 7 indexed citations
16.
Barclay, Hugh J.. (1987). Models of sterile insect releases for populations under attack by parasitoids. Ecological Modelling. 36(3-4). 155–169. 12 indexed citations
17.
Barclay, Hugh J.. (1984). Pheromone trapping models for pest control: Effects of mating patterns and immigration. Population Ecology. 26(2). 303–311. 23 indexed citations
18.
Thomson, A. J. & Hugh J. Barclay. (1984). Effects of thinning and urea fertilization on the distribution of area increment along the boles of Douglas-fir at Shawnigan Lake, British Columbia. Canadian Journal of Forest Research. 14(6). 879–884. 24 indexed citations
19.
Barclay, Hugh J. & P. van den Driessche. (1983). Pheromone trapping models for insect pest control. Population Ecology. 25(1). 105–115. 22 indexed citations
20.
Barclay, Hugh J., et al.. (1978). Deterministic Population Models and Stability. SIAM Review. 20(2). 389–393. 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.

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