Michael C. Hout

2.9k total citations
65 papers, 1.8k citations indexed

About

Michael C. Hout is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michael C. Hout has authored 65 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Cognitive Neuroscience, 20 papers in Experimental and Cognitive Psychology and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michael C. Hout's work include Neural and Behavioral Psychology Studies (21 papers), Visual perception and processing mechanisms (16 papers) and Visual Attention and Saliency Detection (13 papers). Michael C. Hout is often cited by papers focused on Neural and Behavioral Psychology Studies (21 papers), Visual perception and processing mechanisms (16 papers) and Visual Attention and Saliency Detection (13 papers). Michael C. Hout collaborates with scholars based in United States, United Kingdom and Hungary. Michael C. Hout's co-authors include Stephen D. Goldinger, Megan H. Papesh, Jessica S. Horst, Marc G. Berman, Omid Kardan, H. J. Godwin, Anthony S. Barnhart, Hossein Karimi, John Jonides and Taylor Hanayik and has published in prestigious journals such as PLoS ONE, American Psychologist and Scientific Reports.

In The Last Decade

Michael C. Hout

60 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael C. Hout United States 19 910 405 374 292 225 65 1.8k
Jonathan D. Nelson United States 25 1.0k 1.1× 322 0.8× 474 1.3× 355 1.2× 84 0.4× 48 2.5k
Su‐Ling Yeh Taiwan 23 1.0k 1.1× 529 1.3× 390 1.0× 219 0.8× 195 0.9× 143 1.7k
Francesca Pazzaglia Italy 33 770 0.8× 953 2.4× 475 1.3× 1.0k 3.5× 339 1.5× 112 3.3k
Paul T. Sowden United Kingdom 22 716 0.8× 462 1.1× 355 0.9× 141 0.5× 80 0.4× 44 1.6k
Stella F. Lourenco United States 28 1.1k 1.2× 561 1.4× 444 1.2× 1.0k 3.4× 169 0.8× 87 3.1k
Chiara Meneghetti Italy 26 333 0.4× 531 1.3× 375 1.0× 517 1.8× 236 1.0× 131 1.9k
Ute Leonards United Kingdom 26 1.1k 1.3× 317 0.8× 409 1.1× 83 0.3× 168 0.7× 105 2.0k
Paul Atchley United States 29 1.1k 1.2× 383 0.9× 1.1k 2.9× 70 0.2× 152 0.7× 77 2.7k
Cinzia Di Dio Italy 19 934 1.0× 467 1.2× 663 1.8× 202 0.7× 75 0.3× 68 1.5k
Steven G. Luke United States 22 1.4k 1.5× 508 1.3× 249 0.7× 645 2.2× 259 1.2× 52 2.7k

Countries citing papers authored by Michael C. Hout

Since Specialization
Citations

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

Fields of papers citing papers by Michael C. Hout

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael C. Hout

This figure shows the co-authorship network connecting the top 25 collaborators of Michael C. Hout. A scholar is included among the top collaborators of Michael C. Hout 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 C. Hout. Michael C. Hout 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.
Hout, Michael C., et al.. (2024). Similarity ratings for basic-level categories from the Nosofsky et al. (2018) database of rock images. Frontiers in Psychology. 15. 1438901–1438901. 1 indexed citations
2.
Madson, Laura, et al.. (2024). Students in Team-Based Learning Classes Report Greater Belongingness. Teaching of Psychology. 52(4). 467–477. 1 indexed citations
3.
Hout, Michael C., et al.. (2023). Orthographic similarity ratings for English-Spanish cognates from the academic word list. Frontiers in Education. 8. 1 indexed citations
4.
Godwin, H. J. & Michael C. Hout. (2023). Just say ‘I don’t know’: Understanding information stagnation during a highly ambiguous visual search task. PLoS ONE. 18(12). e0295669–e0295669. 1 indexed citations
5.
Hout, Michael C., et al.. (2021). Examining the effects of passive and active strategy use during interactive search for LEGO® bricks.. Journal of Experimental Psychology Applied. 28(1). 35–51. 4 indexed citations
6.
Hout, Michael C., et al.. (2020). Examining the Role of Eye Movements During Conversational Listening in Noise. Frontiers in Psychology. 11. 200–200. 4 indexed citations
7.
Goldinger, Stephen D., et al.. (2020). The confirmation and prevalence biases in visual search reflect separate underlying processes.. Journal of Experimental Psychology Human Perception & Performance. 46(3). 274–291. 6 indexed citations
8.
Papesh, Megan H., et al.. (2020). The detail is in the difficulty: Challenging search facilitates rich incidental object encoding. Memory & Cognition. 48(7). 1214–1233. 15 indexed citations
9.
Richie, Russell, et al.. (2020). The spatial arrangement method of measuring similarity can capture high-dimensional semantic structures. Behavior Research Methods. 52(5). 1906–1928. 21 indexed citations
10.
Hout, Michael C., et al.. (2019). Scene priming provides clues about target appearance that improve attentional guidance during categorical search.. Journal of Experimental Psychology Human Perception & Performance. 46(2). 220–230. 5 indexed citations
11.
Hout, Michael C., et al.. (2019). Examining the effects of passive and active strategies on behavior during hybrid visual memory search: evidence from eye tracking. Cognitive Research Principles and Implications. 4(1). 39–39. 12 indexed citations
12.
Goldinger, Stephen D., et al.. (2016). The poverty of embodied cognition. Psychonomic Bulletin & Review. 23(4). 959–978. 120 indexed citations
13.
Papesh, Megan H., Stephen D. Goldinger, & Michael C. Hout. (2016). Eye movements reveal fast, voice-specific priming.. Journal of Experimental Psychology General. 145(3). 314–337. 6 indexed citations
14.
Horst, Jessica S. & Michael C. Hout. (2015). The Novel Object and Unusual Name (NOUN) Database: A collection of novel images for use in experimental research. Behavior Research Methods. 48(4). 1393–1409. 198 indexed citations
15.
Hout, Michael C., et al.. (2015). Failures of perception in the low-prevalence effect: Evidence from active and passive visual search.. Journal of Experimental Psychology Human Perception & Performance. 41(4). 977–994. 59 indexed citations
16.
Godwin, H. J., Michael C. Hout, & Tamaryn Menneer. (2013). Visual similarity is stronger than semantic similarity in guiding visual search for numbers. Psychonomic Bulletin & Review. 21(3). 689–695. 39 indexed citations
17.
Hout, Michael C., et al.. (2013). What does that picture sound like to you? Oculomotor evidence for phonological competition in visual search. Visual Cognition. 21(6). 718–722. 1 indexed citations
18.
Hout, Michael C., Megan H. Papesh, & Stephen D. Goldinger. (2012). Multidimensional scaling. Wiley Interdisciplinary Reviews Cognitive Science. 4(1). 93–103. 251 indexed citations
19.
Hout, Michael C. & Stephen D. Goldinger. (2011). Multiple-target search increases workload but enhances incidental learning: A computational modelling approach to a memory paradox. Visual Cognition. 19(10). 1315–1318. 1 indexed citations
20.
Papesh, Megan H., Stephen D. Goldinger, & Michael C. Hout. (2011). Memory strength and specificity revealed by pupillometry. International Journal of Psychophysiology. 83(1). 56–64. 98 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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