Eric R. Muth

103 papers receiving 3.4k citations

Peers

Eric R. Muth
Comparison fields: 5 of 161
  • Human-Computer Interaction 797
  • Cognitive Neuroscience 651
  • Experimental and Cognitive Psychology 373
  • Social Psychology 552
  • Psychiatry and Mental health 334
Replace Silvia Serino with:
Silvia Serino Italy
Mark D. Wiederhold United States
Jennifer Rusted United Kingdom
David R. Patterson United States
Sergi Bermúdez i Badia Portugal
Albert Rizzo United States
Eugene Nalivaiko Australia
Elisa Pedroli Italy
John F. Golding United Kingdom
Hannah A. D. Keage Australia
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Citations per field
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Citations per year

Countries citing papers authored by Eric R. Muth

Since Specialization
Citations

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

Fields of papers citing papers by Eric R. Muth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric R. Muth. 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 Eric R. Muth. The network helps show where Eric R. Muth may publish in the future.

Co-authors

The 25 scholars most cited alongside Eric R. Muth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eric R. Muth Line = papers co-authored together Eric R. Muth links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A questionnaire for the assessment of the multiple dimensions of motion sickness.
2001247
2 2012221
3 1998213
4 2011189
5 2012184
6 2013179
7 2013162
8 2014100
9 199694
10 201084
11 201182
12 201780
13 200976
14 201174
15 201365
16
Human performance under sustained operations and acute sleep deprivation conditions: toward a model of controlled attention.
200765
17 201960
18 201156
19 200655
20 199851

About Eric R. Muth

Eric R. Muth is a scholar working on Human-Computer Interaction, Public Health, Environmental and Occupational Health, Social Psychology, Cardiology and Cardiovascular Medicine and Cognitive Neuroscience, having authored 105 papers that have together received 3.7k indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (24 papers), Heart Rate Variability and Autonomic Control (13 papers), Human-Automation Interaction and Safety (11 papers), Obesity, Physical Activity, Diet (11 papers), Nutritional Studies and Diet (10 papers), Eating Disorders and Behaviors (10 papers), Mobile Health and mHealth Applications (7 papers) and Pain Management and Placebo Effect (7 papers). The work is most often cited by research in Human-Computer Interaction (797 citations), Cognitive Neuroscience (651 citations), Experimental and Cognitive Psychology (373 citations), Social Psychology (552 citations) and Psychiatry and Mental health (334 citations). Eric R. Muth has collaborated with scholars based in United States, Germany and Ukraine. Frequent co-authors include Adam Hoover, Jenna L. Scisco, Jason D. Moss, Yujie Dong, Paul Enck, Robert M. Stern, William A. Rowe, David C. Frankenfield, Beate M. Herbert and Kenneth L. Koch. Their work appears in journals such as Journal of the Academy of Nutrition and Dietetics, Displays, Human Factors The Journal of the Human Factors and Ergonomics Society, PLoS ONE and IEEE Journal of Biomedical and Health Informatics.

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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