Michael J. Hautus

3.1k total citations · 1 hit paper
93 papers, 2.2k citations indexed

About

Michael J. Hautus is a scholar working on Cognitive Neuroscience, Food Science and Experimental and Cognitive Psychology. According to data from OpenAlex, Michael J. Hautus has authored 93 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Cognitive Neuroscience, 29 papers in Food Science and 24 papers in Experimental and Cognitive Psychology. Recurrent topics in Michael J. Hautus's work include Sensory Analysis and Statistical Methods (29 papers), Multisensory perception and integration (23 papers) and Biochemical Analysis and Sensing Techniques (22 papers). Michael J. Hautus is often cited by papers focused on Sensory Analysis and Statistical Methods (29 papers), Multisensory perception and integration (23 papers) and Biochemical Analysis and Sensing Techniques (22 papers). Michael J. Hautus collaborates with scholars based in New Zealand, United States and South Korea. Michael J. Hautus's co-authors include Daniel Shepherd, Blake W. Johnson, Danielle van Hout, R. J. Irwin, Oleg N. Medvedev, Neil A. Macmillan, Mei Peng, Caren M. Rotello, Michael O’Mahony and C. Douglas Creelman and has published in prestigious journals such as The Journal of the Acoustical Society of America, Neuropsychologia and European Journal of Neuroscience.

In The Last Decade

Michael J. Hautus

88 papers receiving 2.2k citations

Hit Papers

Corrections for extreme proportions and their biasing eff... 1995 2026 2005 2015 1995 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Corrections for extreme proportions and their biasing effects on estimated values ofd′
    1995 643 citations Michael J. Hautus profile →

Peers

Michael J. Hautus
Michael Macht Germany
Robert Teghtsoonian United States
Richard Höchenberger Germany
Fabian Grabenhorst United Kingdom
Guy Lories Belgium
Heiner Ellgring Germany
Jennifer A. Stillman New Zealand
Scott Parker United States
Fren T.Y. Smulders Netherlands
Sylvain Delplanque Switzerland
Michael Macht Germany
Michael J. Hautus
Citations per year, relative to Michael J. Hautus Michael J. Hautus (= 1×) peers Michael Macht

Countries citing papers authored by Michael J. Hautus

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Hautus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Hautus

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Hautus. A scholar is included among the top collaborators of Michael J. Hautus 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 Michael J. Hautus. Michael J. Hautus 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.
James, Bryony, et al.. (2023). Advancing textural heterogeneity: Effect of manipulating multi-component model foods on the perception of textural complexity. Food Research International. 165. 112533–112533.
2.
3.
James, Bryony, et al.. (2021). Effect of basic structural variation, aimed at increasing perceivable textures in model foods, on the perception of textural complexity. Food Quality and Preference. 91. 104196–104196. 10 indexed citations
4.
Hautus, Michael J., et al.. (2021). Can binaural beats facilitate autonomic recovery following exposure to an acute stressor?. Complementary Therapies in Clinical Practice. 45. 101485–101485. 4 indexed citations
5.
Heinonen-Guzejev, Marja, Marina Kliuchko, Peter Vuust, et al.. (2018). Studying the origins of noise sensitivity - negative affect or biological factors. 2 indexed citations
6.
Hautus, Michael J., et al.. (2018). Visual encoding of partial unknown shape boundaries. AIMS neuroscience. 5(2). 132–147. 4 indexed citations
7.
8.
Peng, Mei, et al.. (2017). See food diet? Cultural differences in estimating fullness and intake as a function of plate size. Appetite. 117. 197–202. 18 indexed citations
9.
Irwin, R. J. & Michael J. Hautus. (2015). Lognormal Lorenz and normal receiver operating characteristic curves as mirror images. Royal Society Open Science. 2(2). 140280–140280. 5 indexed citations
10.
Peng, Mei, Sara R. Jaeger, & Michael J. Hautus. (2013). Fitting Psychometric Functions Using a Fixed-Slope Parameter: An Advanced Alternative for Estimating Odor Thresholds With Data Generated by ASTM E679. Chemical Senses. 39(3). 229–241. 6 indexed citations
11.
Lee, Jenny S.Y., Michael J. Hautus, & Daniel Shepherd. (2012). Neural Correlates of Noise Annoyance and Sensitivity. 25(4). 4–11. 4 indexed citations
12.
Shepherd, Daniel, et al.. (2011). The single interval adjustment matrix (SIAM) yes–no task: an empirical assessment using auditory and gustatory stimuli. Attention Perception & Psychophysics. 73(6). 1934–1947. 13 indexed citations
13.
Johnson, Blake W. & Michael J. Hautus. (2010). Processing of binaural spatial information in human auditory cortex: Neuromagnetic responses to interaural timing and level differences. Neuropsychologia. 48(9). 2610–2619. 43 indexed citations
14.
Hautus, Michael J., Neil A. Macmillan, & Caren M. Rotello. (2008). Toward a complete decision model of item and source recognition. Psychonomic Bulletin & Review. 15(5). 889–905. 42 indexed citations
15.
16.
Rotello, Caren M., Neil A. Macmillan, Jason L. Hicks, & Michael J. Hautus. (2006). Interpreting the effects of response bias on remember-know judgments using signal detection and threshold models. Memory & Cognition. 34(8). 1598–1614. 53 indexed citations
17.
Hautus, Michael J., et al.. (2003). An assessment of response bias for thesame-different task: Implications for the single-interval task. Perception & Psychophysics. 65(6). 844–860. 5 indexed citations
18.
Hautus, Michael J., et al.. (2002). Decision strategies in the ABX (matching-to-sample) psychophysical task. Perception & Psychophysics. 64(1). 89–106. 13 indexed citations
19.
Irwin, R. J., et al.. (1998). Discriminability in length of lines in the Müller-Lyer figure. Perception & Psychophysics. 60(3). 511–517. 4 indexed citations
20.
Irwin, R. J. & Michael J. Hautus. (1997). Likelihood-ratio decision strategy for independent observations in thesame-different task: An approximation to the detection-theoretic model. Perception & Psychophysics. 59(2). 313–316. 16 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Michael Macht Breakdown of academic impact, for papers by Robert Teghtsoonian Breakdown of academic impact, for papers by Richard Höchenberger Breakdown of academic impact, for papers by Fabian Grabenhorst Breakdown of academic impact, for papers by Guy Lories Breakdown of academic impact, for papers by Heiner Ellgring Breakdown of academic impact, for papers by Jennifer A. Stillman Breakdown of academic impact, for papers by Scott Parker Breakdown of academic impact, for papers by Fren T.Y. Smulders Breakdown of academic impact, for papers by Sylvain Delplanque
Rankless by CCL
2026