Mark D. Reckase

7.2k total citations · 2 hit papers
130 papers, 4.2k citations indexed

About

Mark D. Reckase is a scholar working on Management Science and Operations Research, Education and Computer Networks and Communications. According to data from OpenAlex, Mark D. Reckase has authored 130 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Management Science and Operations Research, 31 papers in Education and 20 papers in Computer Networks and Communications. Recurrent topics in Mark D. Reckase's work include Psychometric Methodologies and Testing (34 papers), Advanced Statistical Modeling Techniques (20 papers) and School Choice and Performance (13 papers). Mark D. Reckase is often cited by papers focused on Psychometric Methodologies and Testing (34 papers), Advanced Statistical Modeling Techniques (20 papers) and School Choice and Performance (13 papers). Mark D. Reckase collaborates with scholars based in United States, Bulgaria and Australia. Mark D. Reckase's co-authors include Robert L. McKinley, Cassandra M. Guarino, Jeffrey M. Wooldridge, Judith A. Spray, Robert L. Linn, R. Darrell Bock, Lloyd G. Humphreys, James E. Carlson, Terry A. Ackerman and Nicholas D. Myers and has published in prestigious journals such as Psychological Assessment, Teaching and Teacher Education and Psychometrika.

In The Last Decade

Mark D. Reckase

124 papers receiving 3.7k citations

Hit Papers

Multidimensional Item Response... 1979 2026 1994 2010 2009 1979 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mark D. Reckase United States 28 1.7k 1.1k 888 633 552 130 4.2k
Wen‐Chung Wang Hong Kong 34 1.6k 1.0× 970 0.9× 865 1.0× 639 1.0× 426 0.8× 150 4.4k
Neil J. Dorans United States 30 2.4k 1.4× 960 0.9× 1.1k 1.2× 845 1.3× 657 1.2× 157 4.8k
Hariharan Swaminathan United States 22 2.4k 1.4× 1.0k 0.9× 1.2k 1.4× 903 1.4× 963 1.7× 42 5.0k
Matthias von Davier United States 32 1.7k 1.0× 976 0.9× 821 0.9× 869 1.4× 443 0.8× 135 3.8k
Allan S. Cohen United States 34 1.7k 1.0× 761 0.7× 955 1.1× 849 1.3× 460 0.8× 130 3.5k
Geoff N Masters Australia 15 1.0k 0.6× 1.2k 1.1× 469 0.5× 493 0.8× 479 0.9× 77 3.4k
Frank B. Baker United States 27 1.2k 0.7× 529 0.5× 671 0.8× 658 1.0× 374 0.7× 107 4.0k
Cees A. W. Glas Netherlands 35 1.6k 1.0× 437 0.4× 767 0.9× 1.0k 1.6× 225 0.4× 117 3.9k
Steven L. Wise United States 30 1.2k 0.7× 1.4k 1.3× 307 0.3× 459 0.7× 676 1.2× 112 4.1k
Rob R. Meijer Netherlands 40 1.5k 0.9× 522 0.5× 705 0.8× 729 1.2× 632 1.1× 162 5.4k

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-authorship network of co-authors of Mark D. Reckase

This figure shows the co-authorship network connecting the top 25 collaborators of Mark D. Reckase. A scholar is included among the top collaborators of Mark D. Reckase 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 Mark D. Reckase. Mark D. Reckase 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
1.
Reckase, Mark D., et al.. (2024). Developing valid assessments in the era of generative artificial intelligence. Frontiers in Education. 9. 15 indexed citations
2.
Reckase, Mark D.. (2022). The Psychometrics of Standard Setting. 1 indexed citations
3.
Reckase, Mark D., et al.. (2020). The Optimal Item Pool Design in Multistage Computerized Adaptive Tests With the p-Optimality Method. Educational and Psychological Measurement. 80(5). 955–974. 5 indexed citations
4.
Reckase, Mark D., et al.. (2019). How Adaptive Is an Adaptive Test: Are All Adaptive Tests Adaptive?. 7(1). 1–14. 7 indexed citations
5.
Guarino, Cassandra M., et al.. (2014). A Comparison of Growth Percentile and Value-Added Models of Teacher Performance. RePEc: Research Papers in Economics. 1 indexed citations
6.
Reckase, Mark D., et al.. (2014). Optimal item pool design for computerized adaptive tests with polytomous items using GPCM. 56(3). 255. 2 indexed citations
7.
Senk, Sharon L., et al.. (2012). Knowledge of future primary teachers for teaching mathematics: an international comparative study. ZDM. 44(3). 307–324. 41 indexed citations
8.
Guarino, Cassandra M., Mark D. Reckase, & Jeffrey M. Wooldridge. (2011). Evaluating Value-Added Methods of Estimating of Teacher Performance.. Society for Research on Educational Effectiveness. 2 indexed citations
9.
Olson, Beth, et al.. (2009). Parental Influences on Dairy Intake in Children, and Their Role in Child Calcium-fortified Food Use. Journal of Nutrition Education and Behavior. 41(1). 53–57. 13 indexed citations
10.
Reckase, Mark D.. (2009). Multidimensional Item Response Theory. CERN Document Server (European Organization for Nuclear Research). 678 indexed citations breakdown →
11.
Broman, Clifford L., Xin Li, & Mark D. Reckase. (2008). Family Structure and Mediators of Adolescent Drug Use. Journal of Family Issues. 29(12). 1625–1649. 27 indexed citations
12.
Myers, Nicholas D., Edward W. Wolfe, Kimberly S. Maier, Deborah L. Feltz, & Mark D. Reckase. (2006). Extending Validity Evidence for Multidimensional Measures of Coaching Competency. Research Quarterly for Exercise and Sport. 77(4). 451–463. 27 indexed citations
13.
Myers, Nicholas D., Deborah L. Feltz, Kimberly S. Maier, Edward W. Wolfe, & Mark D. Reckase. (2006). Athletes' Evaluations of Their Head Coach's Coaching Competency. Research Quarterly for Exercise and Sport. 77(1). 111–121. 74 indexed citations
14.
Reckase, Mark D.. (1985). Models for Multidimensional Tests and Hierarchically Structured Training Materials.. Defense Technical Information Center (DTIC). 5 indexed citations
15.
Bock, R. Darrell, et al.. (1984). TECHNICAL GUIDELINES FOR ASSESSING COMPUTERIZED ADAPTIVE TESTS. Journal of Educational Measurement. 21(4). 347–360. 295 indexed citations
16.
McKinley, Robert L. & Mark D. Reckase. (1982). Multidimensional Latent Trait Models.. 2 indexed citations
17.
McKinley, Robert L. & Mark D. Reckase. (1980). A Successful Application of Latent Trait Theory to Tailored Achievement Testing.. Defense Technical Information Center (DTIC). 4 indexed citations
18.
Reckase, Mark D., et al.. (1979). Operational Characteristics of a One-Parameter Tailored Testing Procedure.. Defense Technical Information Center (DTIC). 1 indexed citations
19.
Reckase, Mark D., et al.. (1979). Operational Characteristics of a Rasch Model Tailored Testing Procedure when Program Parameters and Item Pool Attributes are Varied.. Journal of Wound Care. 17(4). 180–2, 184, 187. 1 indexed citations
20.
Reckase, Mark D.. (1979). Unifactor Latent Trait Models Applied to Multifactor Tests: Results and Implications. Journal of Educational Statistics. 4(3). 207–230. 640 indexed citations breakdown →

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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