Mark D. Reckase

124 papers receiving 3.7k citations

Hit Papers

Multidimensional Item Response Theory 2009 · 678 citations
6781979202619942010200400600

Peers

Mark D. Reckase
Comparison fields: 5 of 161
  • Management Science and Operations Research 1.7k
  • Statistics and Probability 633
  • Developmental and Educational Psychology 552
  • Applied Psychology 207
  • Computer Networks and Communications 888
Replace Neil J. Dorans with:
Neil J. Dorans United States
Wen‐Chung Wang Hong Kong
Hariharan Swaminathan United States
Matthias von Davier United States
Frank B. Baker United States
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Geoff N Masters Australia
Allan S. Cohen United States
Steven L. Wise United States
Rebecca Zwick United States
Mark D. Reckase relative to Neil J. Dorans United States Neil J. Dorans's profile →
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Citations per year

Countries citing papers authored by Mark D. Reckase

Since Specialization
Citations

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

Fields of papers citing papers by Mark D. Reckase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark D. Reckase. 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 Mark D. Reckase. The network helps show where Mark D. Reckase may publish in the future.

Co-authors

The 25 scholars most cited alongside Mark D. Reckase, 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 Mark D. Reckase Line = papers co-authored together Mark D. Reckase links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Multidimensional Item Response Theory
Hit paper breakdown →
2009678
2
Unifactor Latent Trait Models Applied to Multifactor Tests: Results and Implications
Hit paper breakdown →
1979640
3 1984295
4 1985268
5 1979244
6 1997174
7 1991158
8 2014110
9 201293
10 199890
11 200674
12 199670
13 198865
14 200451
15 200649
16 199846
17 201544
18 201241
19 201641
20 199541

About Mark D. Reckase

Mark D. Reckase is a scholar working on Management Science and Operations Research, Education, Statistics and Probability, Computer Networks and Communications and Statistics, Probability and Uncertainty, having authored 130 papers that have together received 4.2k indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (34 papers), Advanced Statistical Modeling Techniques (20 papers), School Choice and Performance (13 papers), Technology and Data Analysis (8 papers), Student Assessment and Feedback (8 papers), Educational Technology and Assessment (6 papers), Motivation and Self-Concept in Sports (5 papers) and Reflective Practices in Education (5 papers). The work is most often cited by research in Management Science and Operations Research (1.7k citations), Statistics and Probability (633 citations), Developmental and Educational Psychology (552 citations), Applied Psychology (207 citations) and Computer Networks and Communications (888 citations). Mark D. Reckase has collaborated with scholars based in United States, Bulgaria and Australia. Frequent co-authors include Robert L. McKinley, Cassandra M. Guarino, Jeffrey M. Wooldridge, Judith A. Spray, Robert L. Linn, Lloyd G. Humphreys, R. Darrell Bock, Terry A. Ackerman, James E. Carlson and Deborah L. Feltz. Their work appears in journals such as Educational Measurement Issues and Practice, Applied Psychological Measurement, Educational and Psychological Measurement, Research Quarterly for Exercise and Sport and Journal of Educational and Behavioral Statistics.

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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