| The evolution of decision rules in complex environments TW Fawcett, B Fallenstein, AD Higginson, AI Houston, DEW Mallpress, ... Trends in cognitive sciences 18 (3), 153-161, 2014 | 329 | 2014 |
| Current incentives for scientists lead to underpowered studies with erroneous conclusions AD Higginson, MR Munafò PLoS Biology 14 (11), e2000995, 2016 | 216 | 2016 |
| Heavy use of equations impedes communication among biologists TW Fawcett, AD Higginson Proceedings of the National Academy of Sciences 109 (29), 11735-11739, 2012 | 139 | 2012 |
| Generalized optimal risk allocation: foraging and antipredator behavior in a fluctuating environment AD Higginson, TW Fawcett, PC Trimmer, JM McNamara, AI Houston The American Naturalist 180 (5), 589-603, 2012 | 110 | 2012 |
| The effects of predation risk from crab spiders on bee foraging behavior T Reader, AD Higginson, CJ Barnard, FS Gilbert, ... Behavioral Ecology 17 (6), 933-939, 2006 | 94 | 2006 |
| Adaptive use of information during growth can explain long-term effects of early life experiences S English, TW Fawcett, AD Higginson, PC Trimmer, T Uller The American Naturalist 187 (5), 620-632, 2016 | 88 | 2016 |
| Environmental heterogeneity, genotype-by-environment interactions and the reliability of sexual traits as indicators of mate quality AD Higginson, T Reader Proceedings of the Royal Society B: Biological Sciences 276 (1659), 1153-1159, 2009 | 80 | 2009 |
| Accumulating wing damage affects foraging decisions in honeybees (Apis mellifera L.) AD Higginson, CJ Barnard Ecological Entomology 29 (1), 52-59, 2004 | 77 | 2004 |
| The locus of sexual selection: moving sexual selection studies into the post‐genomics era GS Wilkinson, F Breden, JE Mank, MG Ritchie, AD Higginson, J Radwan, ... Journal of evolutionary biology 28 (4), 739-755, 2015 | 75 | 2015 |
| Altruism in a volatile world P Kennedy, AD Higginson, AN Radford, S Sumner Nature 555 (7696), 359-362, 2018 | 66 | 2018 |
| Foraging mode switching: the importance of prey distribution and foraging currency AD Higginson, GD Ruxton Animal Behaviour 105, 121-137, 2015 | 61 | 2015 |
| The starvation-predation trade-off predicts trends in body size, muscularity, and adiposity between and within taxa AD Higginson, JM McNamara, AI Houston The American Naturalist 179 (3), 338-350, 2012 | 61 | 2012 |
| Optimal foraging for multiple nutrients in an unpredictable environment AI Houston, AD Higginson, JM McNamara Ecology Letters 14 (11), 1101-1107, 2011 | 51 | 2011 |
| Fatness and fitness: exposing the logic of evolutionary explanations for obesity AD Higginson, JM McNamara, AI Houston Proceedings of the Royal Society B: Biological Sciences 283 (1822), 20152443, 2016 | 50 | 2016 |
| Paying for nectar with wingbeats: a new model of honeybee foraging AD Higginson, F Gilbert Proceedings of the Royal Society of London. Series B: Biological Sciences …, 2004 | 49 | 2004 |
| Growth and reproductive costs of larval defence in the aposematic lepidopteran Pieris brassicae AD Higginson, J Delf, GD Ruxton, MP Speed Journal of Animal Ecology 80 (2), 384-392, 2011 | 48 | 2011 |
| Adaptive changes in size and age at metamorphosis can qualitatively vary with predator type and available defenses AD Higginson, GD Ruxton Ecology 91 (9), 2756-2768, 2010 | 47 | 2010 |
| Optimal defensive coloration strategies during the growth period of prey AD Higginson, GD Ruxton Evolution 64 (1), 53-67, 2010 | 42 | 2010 |
| Adaptive learning can result in a failure to profit from good conditions: implications for understanding depression PC Trimmer, AD Higginson, TW Fawcett, JM McNamara, AI Houston Evolution, medicine, and public health 2015 (1), 123-135, 2015 | 37 | 2015 |
| Trust your gut: using physiological states as a source of information is almost as effective as optimal Bayesian learning AD Higginson, TW Fawcett, AI Houston, JM McNamara Proceedings of the Royal Society B: Biological Sciences 285 (1871), 20172411, 2018 | 34 | 2018 |
John M McNamaraEmeritus Professor of Mathematics and Biology, University of BristolVerified email at bristol.ac.uk
