Fred Pyrczak

470 total citations
33 papers, 189 citations indexed

About

Fred Pyrczak is a scholar working on Artificial Intelligence, Information Systems and Education. According to data from OpenAlex, Fred Pyrczak has authored 33 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Information Systems and 4 papers in Education. Recurrent topics in Fred Pyrczak's work include Intelligent Tutoring Systems and Adaptive Learning (4 papers), Psychometric Methodologies and Testing (3 papers) and Statistics Education and Methodologies (2 papers). Fred Pyrczak is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (4 papers), Psychometric Methodologies and Testing (3 papers) and Statistics Education and Methodologies (2 papers). Fred Pyrczak collaborates with scholars based in United States. Fred Pyrczak's co-authors include and has published in prestigious journals such as Computers & Education, Educational and Psychological Measurement and Reading Research Quarterly.

In The Last Decade

Fred Pyrczak

23 papers receiving 142 citations

Peers

Fred Pyrczak
Comparison fields: 5 of 74
  • Developmental and Educational Psychology 73
  • Education 42
  • Artificial Intelligence 30
  • Management Science and Operations Research 20
  • Social Psychology 15
Replace Heather H. Koons with:
Heather H. Koons United States
H. O. BURDICK United States
Scott Sterling United States
J. D. Fletcher United States
Sean McCusker United Kingdom
Kathryn D. Sloane United States
Jennifer Williams United States
Alan L. Gross United States
Ulrich Raatz Germany
Peter Langford Australia
Heather H. Koons United States View profile →
Citations per field, relative to Fred Pyrczak
Fred Pyrczak · 1×
Citations per year, relative to Fred Pyrczak
Fred Pyrczak · 1×

Countries citing papers authored by Fred Pyrczak

Since Specialization
Citations

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

Fields of papers citing papers by Fred Pyrczak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 2
4
Evaluating Research in Academic Journals: A Practical Guide to Realistic Evaluation
4
5 0
6 11
7
A Closer Look at the Quality of Multiple-Choice Reading Comprehension Items.
1
8
Effects of Abbreviations on Comprehension of Classified Employment Advertisements.
1
9 3
10
Knowledge of Abbreviations Used in Classified Advertisements On Employment Opportunities.
2
11
Readability of Directions on Potentially Hazardous Household Products.
1
12
Determining the Passage Dependence of Reading Comprehension Exercises: A Call for Replications.
5
13
Readability of "Instructions for Form 1040".
3
14
Reducing Reading Illiteracy by Improving Reading Materials.
0
15 5
16
Passage-Dependence of Reading Comprehension Questions: Examples.
11
17 14
18
Special Factors to Consider when Selecting Reading Comprehension Tests and Exercises.
1
19
Reading Comprehension of Directions on Medication.
3
20
Use of Similarities between Stems and Keyed Choices in Multiple-Choice Items.
5

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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