Richard Sawyer

1.2k total citations
65 papers, 752 citations indexed

About

Richard Sawyer is a scholar working on Education, Food Science and Statistics and Probability. According to data from OpenAlex, Richard Sawyer has authored 65 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Education, 17 papers in Food Science and 10 papers in Statistics and Probability. Recurrent topics in Richard Sawyer's work include Potato Plant Research (17 papers), Higher Education Research Studies (10 papers) and Statistics Education and Methodologies (7 papers). Richard Sawyer is often cited by papers focused on Potato Plant Research (17 papers), Higher Education Research Studies (10 papers) and Statistics Education and Methodologies (7 papers). Richard Sawyer collaborates with scholars based in United States and Canada. Richard Sawyer's co-authors include Julie Noble, Steven B. Robbins, G. H. Collin, Jeff Allen, Wade C. Leuwerke, Nancy S. Cole, Dale J. Prediger, Karen R. Harris, W. Robert Houston and Steve Graham and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurotoxicology and Teratology and Journal of Counseling & Development.

In The Last Decade

Richard Sawyer

61 papers receiving 578 citations

Peers

Richard Sawyer
Comparison fields: 5 of 111
  • Education 338
  • Food Science 113
  • Plant Science 108
  • Safety Research 91
  • Social Psychology 85
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Citations per field, relative to Richard Sawyer
Richard Sawyer · 1×
Citations per year, relative to Richard Sawyer
Richard Sawyer · 1×

Countries citing papers authored by Richard Sawyer

Since Specialization
Citations

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

Fields of papers citing papers by Richard Sawyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Sawyer

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Sawyer. A scholar is included among the top collaborators of Richard Sawyer 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 Richard Sawyer. Richard Sawyer 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 1
2 49
3
Student Achievement, Behavior, Perceptions, and Other Factors Affecting ACT Scores. ACT Research Report Series, 2006-1.
5
4
Is High School GPA Better than Admission Test Scores for Predicting Academic Success in College
50
5 55
6
Assessment and College Course Placement: Matching Students with Appropriate Instruction.
5
7
Assessing the Effectiveness of Course Placement Systems in College.
3
8
A Comparison of Two Approaches for Measuring Educational Growth from CTBS and P-ACT+ Scores.
0
9
Relating Scores on the Enhanced ACT Assessment and the SAT Test Batteries.
10
10
Predicting Grades in College Freshman English and Mathematic Courses.
8
11
Validating the Use of ACT Assessment Scores and High School Grades for Remedial Course Placement in College
13
12
Accuracy of Self-Reported High School Courses and Grades of College-Bound Students.
32
13
Determining Minimum Sample Sizes for Estimating Prediction Equations for College Freshman Grade Average
2
14
Determining Minimum Sample Sizes for Multiple Regression Grade Prediction Equations for Colleges
2
15 24
16
The Validity Over Time of College Freshman Grade Prediction Equations.
9
17 12
18 8
19 7
20 11

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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