Kristen E. DiCerbo

1.2k total citations
35 papers, 590 citations indexed

About

Kristen E. DiCerbo is a scholar working on Developmental and Educational Psychology, Artificial Intelligence and Computer Science Applications. According to data from OpenAlex, Kristen E. DiCerbo has authored 35 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Developmental and Educational Psychology, 16 papers in Artificial Intelligence and 16 papers in Computer Science Applications. Recurrent topics in Kristen E. DiCerbo's work include Intelligent Tutoring Systems and Adaptive Learning (14 papers), Online Learning and Analytics (10 papers) and Innovative Teaching and Learning Methods (8 papers). Kristen E. DiCerbo is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (14 papers), Online Learning and Analytics (10 papers) and Innovative Teaching and Learning Methods (8 papers). Kristen E. DiCerbo collaborates with scholars based in United States, China and Canada. Kristen E. DiCerbo's co-authors include John T. Behrens, Robert J. Mislevy, Roy Levy, Emily Lai, Peter W. Foltz, Barry Leshowitz, Marilyn S. Thompson, Kate Mahoney, Jeff MacSwan and Morris A. Okun and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Sciences and Teachers College Record The Voice of Scholarship in Education.

In The Last Decade

Kristen E. DiCerbo

34 papers receiving 504 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kristen E. DiCerbo United States 12 250 234 206 134 77 35 590
Sin Wang Chong United Kingdom 18 178 0.7× 497 2.1× 176 0.9× 127 0.9× 104 1.4× 65 1.1k
Hui Luan Taiwan 9 283 1.1× 189 0.8× 177 0.9× 142 1.1× 102 1.3× 12 707
Carrie Demmans Epp Canada 14 161 0.6× 226 1.0× 188 0.9× 85 0.6× 115 1.5× 60 561
Bin Zou China 15 150 0.6× 210 0.9× 112 0.5× 151 1.1× 193 2.5× 58 667
Matthew P. Wallace Macao 10 167 0.7× 134 0.6× 104 0.5× 128 1.0× 67 0.9× 25 476
Sangmin‐Michelle Lee South Korea 14 282 1.1× 303 1.3× 109 0.5× 242 1.8× 276 3.6× 29 939
Iris Howley United States 11 171 0.7× 174 0.7× 213 1.0× 184 1.4× 71 0.9× 27 557
Ruofei Zhang Hong Kong 16 352 1.4× 292 1.2× 182 0.9× 209 1.6× 227 2.9× 41 888
Edys Quellmalz United States 13 283 1.1× 452 1.9× 109 0.5× 75 0.6× 106 1.4× 34 705

Countries citing papers authored by Kristen E. DiCerbo

Since Specialization
Citations

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

Fields of papers citing papers by Kristen E. DiCerbo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kristen E. DiCerbo. 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 Kristen E. DiCerbo. The network helps show where Kristen E. DiCerbo may publish in the future.

Co-authorship network of co-authors of Kristen E. DiCerbo

This figure shows the co-authorship network connecting the top 25 collaborators of Kristen E. DiCerbo. A scholar is included among the top collaborators of Kristen E. DiCerbo 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 Kristen E. DiCerbo. Kristen E. DiCerbo 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.
Behrens, John T., Kristen E. DiCerbo, & Peter W. Foltz. (2019). Assessment of Complex Performances in Digital Environments. The Annals of the American Academy of Political and Social Science. 683(1). 217–232. 6 indexed citations
2.
DiCerbo, Kristen E.. (2019). Psychometric Methods: Theory into Practice. Measurement Interdisciplinary Research and Perspectives. 17(1). 60–64. 9 indexed citations
3.
Lai, Emily, et al.. (2017). Tracing the Assessment Triangle With Learning Progression-Aligned Assessments in Mathematics. Measurement Interdisciplinary Research and Perspectives. 15(3-4). 143–162. 6 indexed citations
4.
DiCerbo, Kristen E., et al.. (2017). Modeling Student Cognition in Digital and Nondigital Assessment Environments. Educational Assessment. 22(4). 275–297. 7 indexed citations
5.
DiCerbo, Kristen E., Robert J. Mislevy, & John T. Behrens. (2016). Inference in Game-Based Assessment. 277–303. 3 indexed citations
6.
DiCerbo, Kristen E.. (2014). Game-Based Assessment of Persistence.. Educational Technology & Society. 17(1). 17–28. 55 indexed citations
7.
DiCerbo, Kristen E.. (2014). Task Models in the Digital Ocean. Measurement Interdisciplinary Research and Perspectives. 12(1-2). 39–41. 1 indexed citations
8.
DiCerbo, Kristen E., et al.. (2013). Detecting Player Goals from Game Log Files. Educational Data Mining. 314–315. 6 indexed citations
9.
Behrens, John T., Robert J. Mislevy, Kristen E. DiCerbo, & Roy Levy. (2012). Evidence Centered Design for Learning and Assessment in the Digital World. 13–54. 28 indexed citations
10.
DiCerbo, Kristen E., et al.. (2011). SUBSTANTIVE VALIDITY OF A SIMULATION-BASED GAME. Research and Practice in Technology Enhanced Learning. 6(3). 161–185. 1 indexed citations
11.
Rutstein, Daisy, Robert J. Mislevy, Junhui Liu, et al.. (2010). A Bayesian Network Approach to Modeling Learning Progressions and Task Performance. CRESST Report 776.. 4 indexed citations
12.
Behrens, John T., Robert J. Mislevy, Kristen E. DiCerbo, & Roy Levy. (2010). An Evidence Centered Design for Learning and Assessment in the Digital World. CRESST Report 778.. 1 indexed citations
13.
Rutstein, Daisy, Robert J. Mislevy, Roy Levy, et al.. (2009). A Bayes net approach to modeling learning progressions and task performances. 8 indexed citations
14.
DiCerbo, Kristen E.. (2007). Knowledge Structures of Entering Computer Networking Students and Their Instructors. Journal of Information Technology Education Research. 6. 263–277. 19 indexed citations
15.
DiCerbo, Kristen E., et al.. (2004). Effects of Reducing Attentional Demands on Performance of Reading Comprehension Tests by Third Graders. Perceptual and Motor Skills. 98(2). 561–574. 5 indexed citations
16.
Thompson, Marilyn S., Kristen E. DiCerbo, Kate Mahoney, & Jeff MacSwan. (2002). Exito en California? A Critique of Language Program Evaluations.. Education Policy Analysis Archives. 10(7). 2 indexed citations
17.
Leshowitz, Barry, Kristen E. DiCerbo, & Morris A. Okun. (2002). Effects of Instruction in Methodological Reasoning on Information Evaluation. Teaching of Psychology. 29(1). 5–10. 15 indexed citations
18.
Thompson, Marilyn S., Kristen E. DiCerbo, Kate Mahoney, & Jeff MacSwan. (2002). ¿Exito en California? A Validity Critique of Language Program Evaluations and Analysis of English Learner Test Scores. Education Policy Analysis Archives. 10. 7–7. 30 indexed citations
19.
DiCerbo, Kristen E., et al.. (2001). Book Review: Comprehensive Test of Nonverbal Intelligence. Journal of Psychoeducational Assessment. 19(2). 175–180. 1 indexed citations
20.
Leshowitz, Barry, et al.. (1999). Effective Thinking: An Active-Learning Course in Critical Thinking. SHILAP Revista de lepidopterología. 2. 11 indexed citations

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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