LabCompass

Brian C. Leavell

Agricultural and Biological Sciences · Purdue University West Lafayette

Established · publishing since 1996Rising activity

Publications

21

Citations

436

Est. group size

~1

Recurring co-author estimate

Active years

31

Publishing since 1996

Research summary
AI-generated

Brian C. Leavell studies how animals communicate and defend themselves against predators, focusing on topics like mating signals (such as sounds or displays used to attract mates), anti-predator defenses, and eavesdropping between species (e.g., predators or parasites intercepting mating signals). Much of the work involves insects, frogs, bats, and other animals, examining how signals meant for mates can be exploited by unintended listeners like predators or blood-feeding insects. This research sits within animal behavior and evolutionary biology, often combining fieldwork, experiments, and literature synthesis.

Animal communication and sexual signalingPredator-prey interactions and anti-predator defensesEavesdropping and signal exploitation across speciesBat echolocation and moth anti-bat defensesBehavioral ecology synthesis and meta-analysis

Publication output was low and steady from 2017-2021 (about one paper per year), rose to a peak in 2023 with several papers, then dropped off in 2024 before a couple of works appeared in 2025-2026.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 2.4/year recently
2017: 1 publication172018: 1 publication182019: 1 publication19202021: 1 publication212022: 3 publications222023: 7 publications723242025: 1 publication252026: 1 publication26
Recent publications
Publishes in
  • Journal of Experimental Biology×2
  • Proceedings of the Royal Society B Biological Sciences×2
  • Figshare×2
  • Journal of Evolutionary Biology×1
  • Biological reviews/Biological reviews of the Cambridge Philosophical Society×1
Similar researchers
By research-topic overlap

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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