Chad Peltier

658 total citations
24 papers, 460 citations indexed

About

Chad Peltier is a scholar working on Cognitive Neuroscience, Food Science and Social Psychology. According to data from OpenAlex, Chad Peltier has authored 24 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 7 papers in Food Science and 6 papers in Social Psychology. Recurrent topics in Chad Peltier's work include Neural and Behavioral Psychology Studies (9 papers), Sensory Analysis and Statistical Methods (7 papers) and Visual perception and processing mechanisms (5 papers). Chad Peltier is often cited by papers focused on Neural and Behavioral Psychology Studies (9 papers), Sensory Analysis and Statistical Methods (7 papers) and Visual perception and processing mechanisms (5 papers). Chad Peltier collaborates with scholars based in United States, France and Morocco. Chad Peltier's co-authors include Mark W. Becker, Michel Visalli, Pascal Schlich, Laura Bix, Nora M. Bello, Lorraine Weatherspoon, Adam T. Biggs, Kyle A. Pettijohn, Jacob Norris and Jamie R. Lukos and has published in prestigious journals such as PLoS ONE, Journal of Experimental Psychology Human Perception & Performance and Food Quality and Preference.

In The Last Decade

Chad Peltier

23 papers receiving 450 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chad Peltier United States 12 128 127 126 65 64 24 460
Min-Shik Kim South Korea 4 118 0.9× 64 0.5× 85 0.7× 41 0.6× 22 0.3× 19 281
Tomohiro Masuda Japan 12 90 0.7× 24 0.2× 87 0.7× 41 0.6× 102 1.6× 29 389
Penny Bergman Sweden 9 122 1.0× 39 0.3× 55 0.4× 12 0.2× 40 0.6× 20 292
Klaus Duerrschmid Austria 6 188 1.5× 22 0.2× 28 0.2× 110 1.7× 86 1.3× 10 331
John M. Ennis United States 15 493 3.9× 68 0.5× 158 1.3× 280 4.3× 81 1.3× 44 812
Atsushi Kimura Japan 12 101 0.8× 19 0.1× 74 0.6× 44 0.7× 120 1.9× 41 416
Abhishek Pathak United Kingdom 13 73 0.6× 33 0.3× 39 0.3× 50 0.8× 121 1.9× 38 402
Johanna Kuenzel Netherlands 6 103 0.8× 29 0.2× 25 0.2× 101 1.6× 67 1.0× 9 299
Emily Crofton Ireland 10 208 1.6× 62 0.5× 6 0.0× 80 1.2× 42 0.7× 29 395
Klaus Dürrschmid Austria 10 286 2.2× 49 0.4× 9 0.1× 226 3.5× 48 0.8× 14 479

Countries citing papers authored by Chad Peltier

Since Specialization
Citations

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

Fields of papers citing papers by Chad Peltier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chad Peltier. 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 Chad Peltier. The network helps show where Chad Peltier may publish in the future.

Co-authorship network of co-authors of Chad Peltier

This figure shows the co-authorship network connecting the top 25 collaborators of Chad Peltier. A scholar is included among the top collaborators of Chad Peltier 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 Chad Peltier. Chad Peltier 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.
Becker, Mark W., et al.. (2024). Activation thresholds, not quitting thresholds, account for the low prevalence effect in dynamic search. Attention Perception & Psychophysics. 86(8). 2589–2603.
2.
Peltier, Chad, et al.. (2022). Vigilance Performance Declines Faster When Monitoring for a Signal in Two Modalities Compared to One. Advances in Cognitive Psychology. 18(1). 64–75. 1 indexed citations
3.
Pettijohn, Kyle A., Chad Peltier, Jamie R. Lukos, Jacob Norris, & Adam T. Biggs. (2020). Virtual and augmented reality in a simulated naval engagement: Preliminary comparisons of simulator sickness and human performance. Applied Ergonomics. 89. 103200–103200. 23 indexed citations
4.
Todeschi, Julien, Henri‐Arthur Leroy, P. Roblot, et al.. (2020). Impact of discontinuation of antithrombotic therapy after surgery for chronic subdural hematoma. Neurochirurgie. 66(4). 195–202. 7 indexed citations
5.
Peltier, Chad & Mark W. Becker. (2020). Individual differences predict low prevalence visual search performance and sources of errors: An eye-tracking study.. Journal of Experimental Psychology Applied. 26(4). 646–658. 5 indexed citations
6.
Blacker, Kara J., Chad Peltier, R. Andy McKinley, & Adam T. Biggs. (2020). What Versus How in Visual Search: Effects of Object Recognition Training, Strategy Training, and Non-invasive Brain Stimulation on Satellite Image Search. Journal of Cognitive Enhancement. 4(2). 131–144. 8 indexed citations
7.
Peltier, Chad, et al.. (2018). Using temporal dominance of emotions at home. Impact of coffee advertisements on consumers’ behavior and methodological perspectives. Food Quality and Preference. 71. 311–319. 13 indexed citations
8.
Peltier, Chad, Kyle A. Pettijohn, & Kara J. Blacker. (2018). Developing the Third Offset: Transcranial Direct Current Stimulation Can Improve the Human Operator. Military Medicine. 184(1-2). 11–13. 1 indexed citations
9.
Peltier, Chad, Michel Visalli, & Pascal Schlich. (2017). Enhancing canonical variate analysis by taking the scaling effect into account. Food Quality and Preference. 64. 88–93. 4 indexed citations
10.
Peltier, Chad & Mark W. Becker. (2017). Eye movement feedback fails to improve visual search performance. Cognitive Research Principles and Implications. 2(1). 47–47. 15 indexed citations
11.
Peltier, Chad & Mark W. Becker. (2017). Individual differences predict low prevalence visual search performance. Cognitive Research Principles and Implications. 2(1). 5–5. 32 indexed citations
12.
Peltier, Chad & Mark W. Becker. (2017). Target-present guessing as a function of target prevalence and accumulated information in visual search. Attention Perception & Psychophysics. 79(4). 1064–1069. 7 indexed citations
13.
Peltier, Chad, Arnaud Germaneau, Jean‐Christophe Dupré, et al.. (2017). Biomechanical analysis of different cross-link configurations spinal instrumentation systems: a preliminary study. Computer Methods in Biomechanics & Biomedical Engineering. 20(sup1). S157–S158. 4 indexed citations
14.
Peltier, Chad & Mark W. Becker. (2016). Decision processes in visual search as a function of target prevalence.. Journal of Experimental Psychology Human Perception & Performance. 42(9). 1466–1476. 31 indexed citations
15.
Bix, Laura, et al.. (2015). To See or Not to See: Do Front of Pack Nutrition Labels Affect Attention to Overall Nutrition Information?. PLoS ONE. 10(10). e0139732–e0139732. 51 indexed citations
16.
Becker, Mark W., et al.. (2015). Front of pack labels enhance attention to nutrition information in novel and commercial brands. Food Policy. 56. 76–86. 93 indexed citations
17.
Becker, Mark W., Susan M. Ravizza, & Chad Peltier. (2015). An inability to set independent attentional control settings by hemifield. Attention Perception & Psychophysics. 77(8). 2640–2652. 7 indexed citations
18.
Becker, Mark W., et al.. (2015). No templates for rejection: a failure to configure attention to ignore task-irrelevant features. Visual Cognition. 23(9-10). 1150–1167. 48 indexed citations
19.
Peltier, Chad, Michel Visalli, & Pascal Schlich. (2014). Comparison of Canonical Variate Analysis and Principal Component Analysis on 422 descriptive sensory studies. Food Quality and Preference. 40. 326–333. 37 indexed citations
20.
Peltier, Chad, Per B. Brockhoff, Michel Visalli, & Pascal Schlich. (2013). The MAM-CAP table: A new tool for monitoring panel performances. Food Quality and Preference. 32. 24–27. 17 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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