Ruth S. Day

808 total citations
21 papers, 395 citations indexed

About

Ruth S. Day is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Developmental and Educational Psychology. According to data from OpenAlex, Ruth S. Day has authored 21 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Experimental and Cognitive Psychology, 10 papers in Cognitive Neuroscience and 5 papers in Developmental and Educational Psychology. Recurrent topics in Ruth S. Day's work include Phonetics and Phonology Research (7 papers), Multisensory perception and integration (5 papers) and Hearing Loss and Rehabilitation (4 papers). Ruth S. Day is often cited by papers focused on Phonetics and Phonology Research (7 papers), Multisensory perception and integration (5 papers) and Hearing Loss and Rehabilitation (4 papers). Ruth S. Day collaborates with scholars based in United States, Switzerland and Germany. Ruth S. Day's co-authors include Charles Cresson Wood, William R. Goff, Leonard M. Horowitz, Sandra A. Norman, James E. Cutting, Robert Hubal, James C. Bartlett, Mark J. Blechner, Leah L. Light and Wendy Visscher and has published in prestigious journals such as Science, Psychological Review and The Journal of the Acoustical Society of America.

In The Last Decade

Ruth S. Day

20 papers receiving 333 citations

Peers

Ruth S. Day
Comparison fields: 5 of 62
  • Cognitive Neuroscience 212
  • Experimental and Cognitive Psychology 200
  • Developmental and Educational Psychology 92
  • Artificial Intelligence 68
  • Signal Processing 51
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Citations per field, relative to Ruth S. Day
Ruth S. Day · 1×
Citations per year, relative to Ruth S. Day
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Countries citing papers authored by Ruth S. Day

Since Specialization
Citations

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

Fields of papers citing papers by Ruth S. Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruth S. Day. 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 Ruth S. Day. The network helps show where Ruth S. Day may publish in the future.

Co-authorship network of co-authors of Ruth S. Day

This figure shows the co-authorship network connecting the top 25 collaborators of Ruth S. Day. A scholar is included among the top collaborators of Ruth S. Day 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 Ruth S. Day. Ruth S. Day 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
# Work Indexed citations
1 15
2
Understanding the Frequency and Severity of Side Effects: Linguistics, Numeric, and Visual Representations.
5
3
Comprehension of Prescription Drug Information: Overview of A Research Program
14
4 22
5
A Synthetic Character Application for Informed Consent
4
6 7
7 16
8 5
9 14
10 31
11 1
12 5
13 2
14 6
15 17
16 140
17 4
18 5
19 10
20 68

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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