John A. Byers

10.7k total citations
192 papers, 7.9k citations indexed

About

John A. Byers is a scholar working on Ecology, Insect Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, John A. Byers has authored 192 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Ecology, 112 papers in Insect Science and 56 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in John A. Byers's work include Forest Insect Ecology and Management (83 papers), Insect and Pesticide Research (73 papers) and Insect-Plant Interactions and Control (47 papers). John A. Byers is often cited by papers focused on Forest Insect Ecology and Management (83 papers), Insect and Pesticide Research (73 papers) and Insect-Plant Interactions and Control (47 papers). John A. Byers collaborates with scholars based in United States, Sweden and Israel. John A. Byers's co-authors include Ashraf M. El‐Sayed, D. M. Suckling, Fredrik Schlyter, C.H. Wearing, David L. Wood, Paul R. Krausman, Marc Bekoff, Jeffrey Podos, Jan L�fqvist and Eileen A. Hebets and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

John A. Byers

188 papers receiving 7.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John A. Byers United States 48 4.4k 4.3k 2.4k 1.6k 1.1k 192 7.9k
Allen J. Moore United States 54 2.5k 0.6× 1.9k 0.4× 7.1k 3.0× 4.9k 3.2× 536 0.5× 207 10.1k
Shelley A. Adamo Canada 44 2.3k 0.5× 1.3k 0.3× 2.4k 1.0× 1.5k 1.0× 265 0.2× 106 5.7k
Markus J. Rantala Finland 48 2.1k 0.5× 1.2k 0.3× 3.0k 1.3× 1.5k 0.9× 660 0.6× 187 6.8k
Thomas N. Sherratt Canada 43 1.1k 0.2× 2.1k 0.5× 4.6k 2.0× 2.0k 1.3× 587 0.6× 168 7.4k
K. Eduard Linsenmair Germany 53 3.0k 0.7× 2.5k 0.6× 6.8k 2.9× 3.9k 2.5× 2.5k 2.3× 239 10.7k
Mark A. Elgar Australia 55 1.8k 0.4× 2.7k 0.6× 7.0k 3.0× 5.1k 3.3× 272 0.3× 257 10.3k
Alan Grafen United Kingdom 47 861 0.2× 2.1k 0.5× 5.7k 2.4× 3.8k 2.4× 490 0.5× 92 10.3k
Reuven Dukas Canada 43 1.9k 0.4× 787 0.2× 4.4k 1.9× 2.5k 1.6× 635 0.6× 117 5.7k
Russell Bonduriansky Australia 43 1.5k 0.3× 2.0k 0.5× 4.9k 2.1× 3.5k 2.2× 294 0.3× 124 8.0k
Olof Leimar Sweden 48 705 0.2× 2.2k 0.5× 5.2k 2.2× 2.9k 1.9× 292 0.3× 121 8.7k

Countries citing papers authored by John A. Byers

Since Specialization
Citations

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

Fields of papers citing papers by John A. Byers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John A. Byers. 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 John A. Byers. The network helps show where John A. Byers may publish in the future.

Co-authorship network of co-authors of John A. Byers

This figure shows the co-authorship network connecting the top 25 collaborators of John A. Byers. A scholar is included among the top collaborators of John A. Byers 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 John A. Byers. John A. Byers 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.
Byers, John A., Michael Larsen, Samantha Webster, & Jennifer Bennett. (2024). Assessing melt pool temperature independence from hardness via photodiode-based plank thermometry (PDPT). Manufacturing Letters. 41. 1109–1115. 1 indexed citations
2.
Ahmed, Danish A., Sergei Petrovskii, Michael B. Bonsall, et al.. (2023). Simulating capture efficiency of pitfall traps based on sampling strategy and the movement of ground‐dwelling arthropods. Methods in Ecology and Evolution. 14(11). 2827–2843. 4 indexed citations
3.
El‐Sayed, Ashraf M., John A. Byers, & D. M. Suckling. (2016). Pollinator-prey conflicts in carnivorous plants: When flower and trap properties mean life or death. Scientific Reports. 6(1). 21065–21065. 24 indexed citations
4.
Byers, John A., et al.. (2012). Bateman in Nature: Predation on Offspring Reduces the Potential for Sexual Selection. Science. 338(6108). 802–804. 18 indexed citations
5.
Clancey, Erin, et al.. (2011). Inbreeding depression in pronghorn (Antilocapra americana) fawns. Molecular Ecology. 20(23). 4889–4898. 23 indexed citations
6.
El‐Sayed, Ashraf M., et al.. (2008). Floral Scent of Canada Thistle and Its Potential as a Generic Insect Attractant. Journal of Economic Entomology. 101(3). 720–727. 37 indexed citations
7.
Byers, John A.. (2008). Active Space of Pheromone Plume and its Relationship to Effective Attraction Radius in Applied Models. Journal of Chemical Ecology. 34(9). 1134–1145. 44 indexed citations
8.
Byers, John A. & Lisette P. Waits. (2006). Good genes sexual selection in nature. Proceedings of the National Academy of Sciences. 103(44). 16343–16345. 79 indexed citations
9.
Byers, John A.. (2004). A cost of alarm pheromone production in cotton aphids, Aphis gossypii. Die Naturwissenschaften. 92(2). 69–72. 41 indexed citations
10.
Blackmer, Jacquelyn L., et al.. (2004). Behavioral Response of Lygus hesperus to Conspecifics and Headspace Volatiles of Alfalfa in a Y-Tube Olfactometer. Journal of Chemical Ecology. 30(8). 1547–1564. 103 indexed citations
11.
Byers, John A., et al.. (2000). Strategies of a bark beetle, Pityogenes bidentatus , in an olfactory landscape. Die Naturwissenschaften. 87(11). 503–507. 61 indexed citations
12.
Byers, John A., et al.. (1993). Influence of bark thickness, trunk diameter and height on reproduction of the longhorned beetle, Monochamus sutor (Col., Cerambycidae) in burned larch and pine. Journal of Applied Entomology. 115(1-5). 145–154. 32 indexed citations
13.
Byers, John A.. (1993). Randomization algorithms in BASIC for experimental design. Computers in Biology and Medicine. 23(2). 167–176. 4 indexed citations
14.
Byers, John A.. (1992). Trends in chemical ecology revealed with a personal computer program for searching data bases of scientific references and abstracts. Journal of Chemical Ecology. 18(9). 1481–1495. 4 indexed citations
15.
Byers, John A.. (1991). BASIC algorithms for random sampling and treatment randomization. Computers in Biology and Medicine. 21(1-2). 69–77. 32 indexed citations
16.
Byers, John A.. (1988). Novel diffusion-dilution method for release of semiochemicals: Testing pheromone component ratios on western pine beetle. Journal of Chemical Ecology. 14(1). 199–212. 39 indexed citations
17.
Byers, John A.. (1987). Novel Fraction Collector for Studying the Oviposition Rhythm in the Turnip Moth. Chronobiology International. 4(2). 189–194. 5 indexed citations
18.
Schlyter, Fredrik, John A. Byers, & Jan L�fqvist. (1987). Attraction to pheromone sources of different quantity, quality, and spacing: Density-regulation mechanisms in bark beetleIps typographus. Journal of Chemical Ecology. 13(6). 1503–1523. 102 indexed citations
20.
Byers, John A. & David L. Wood. (1981). Interspecific effects of pheromones on the attraction of the bark beetles,Dendroctonus brevicomis andIps paraconfusus in the laboratory. Journal of Chemical Ecology. 7(1). 9–18. 55 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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