Andrew Ho

3.6k total citations · 1 hit paper
82 papers, 2.5k citations indexed

About

Andrew Ho is a scholar working on Education, Computer Science Applications and Statistics and Probability. According to data from OpenAlex, Andrew Ho has authored 82 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Education, 16 papers in Computer Science Applications and 16 papers in Statistics and Probability. Recurrent topics in Andrew Ho's work include Online Learning and Analytics (16 papers), School Choice and Performance (16 papers) and Advanced Causal Inference Techniques (10 papers). Andrew Ho is often cited by papers focused on Online Learning and Analytics (16 papers), School Choice and Performance (16 papers) and Advanced Causal Inference Techniques (10 papers). Andrew Ho collaborates with scholars based in United States, Portugal and Australia. Andrew Ho's co-authors include Daniel Seaton, Lori Breslow, Jennifer DeBoer, Glenda Stump, David E. Pritchard, Justin Reich, Isaac L. Chuang, Katherine E. Castellano, Sean F. Reardon and Jim Waldo and has published in prestigious journals such as Nano Letters, Gastroenterology and Scientific Reports.

In The Last Decade

Andrew Ho

74 papers receiving 2.3k citations

Hit Papers

Studying Learning in the Worldwide Classroom Research int... 2013 2026 2017 2021 2013 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
Andrew Ho United States 23 1.3k 1.2k 341 294 271 82 2.5k
Justin Reich United States 22 1.5k 1.2× 1.0k 0.9× 360 1.1× 407 1.4× 364 1.3× 101 2.5k
Dirk Tempelaar Netherlands 26 867 0.7× 1.4k 1.2× 716 2.1× 208 0.7× 233 0.9× 91 2.4k
Tenzin Doleck Canada 27 703 0.5× 685 0.6× 309 0.9× 498 1.7× 356 1.3× 110 2.3k
Paul Prinsloo South Africa 26 1.2k 0.9× 770 0.6× 141 0.4× 351 1.2× 403 1.5× 115 2.2k
Di Xu United States 27 707 0.6× 1.9k 1.6× 342 1.0× 89 0.3× 241 0.9× 85 2.6k
Manu Kapur Switzerland 26 543 0.4× 1.8k 1.5× 1.9k 5.6× 488 1.7× 167 0.6× 109 3.6k
Srécko Joksimovíc Australia 33 2.3k 1.8× 1.7k 1.4× 1.1k 3.2× 664 2.3× 405 1.5× 98 3.5k
Ellen B. Mandinach United States 24 476 0.4× 1.3k 1.1× 717 2.1× 167 0.6× 296 1.1× 71 3.3k
Nancy Law Hong Kong 23 327 0.3× 1.2k 1.0× 577 1.7× 151 0.5× 560 2.1× 123 2.1k
Vitomir Kovanović Australia 28 1.9k 1.5× 1.5k 1.2× 905 2.7× 529 1.8× 323 1.2× 87 2.8k

Countries citing papers authored by Andrew Ho

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Ho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Ho

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Ho. A scholar is included among the top collaborators of Andrew Ho 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 Andrew Ho. Andrew Ho 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.
Wang, Le, Krishna Prasad Koirala, Jueli Shi, et al.. (2025). Selective Oxidation and Cr Segregation in High-Entropy Oxide Thin Films. Nano Letters. 25(33). 12719–12727. 1 indexed citations
2.
Padgett, R. Noah, Christina Hinton, Todd Kettler, et al.. (2025). A cross-national analysis of sociodemographic variation in educational attainment. Scientific Reports. 15(1). 13870–13870.
3.
Miratrix, Luke, et al.. (2025). Item-Level Heterogeneity in Value Added Models: Implications for Reliability, Cross-Study Comparability, and Effect Sizes. Journal of Educational and Behavioral Statistics.
4.
Ho, Andrew, Fiona Jeganathan, Magda Bictash, & Han-Jou Chen. (2025). Identification of novel small molecule chaperone activators for neurodegenerative disease treatment. Biomedicine & Pharmacotherapy. 187. 118049–118049.
5.
Zhang, Lijin, Andrew Ho, Prashant Loyalka, et al.. (2024). Heterogeneity of Item-Treatment Interactions Masks Complexity and Generalizability in Randomized Controlled Trials. Journal of Research on Educational Effectiveness. 18(4). 854–877. 7 indexed citations
6.
Ho, Andrew, Terry A. Ackerman, Deborah L Bandalos, et al.. (2024). Foundational Competencies in Educational Measurement: A Rejoinder. Educational Measurement Issues and Practice. 43(3). 56–63. 1 indexed citations
7.
Ackerman, Terry A., Deborah L Bandalos, Derek C. Briggs, et al.. (2023). Foundational Competencies in Educational Measurement. Educational Measurement Issues and Practice. 43(3). 7–17. 17 indexed citations
8.
Ho, Andrew, et al.. (2021). Validation of the EQ-5D in Taiwan using item response theory. BMC Public Health. 21(1). 2305–2305. 6 indexed citations
9.
Reardon, Sean F., Demetra Kalogrides, & Andrew Ho. (2016). Mapping U.S. School District Test Score Distributions onto a Common Scale, 2008-2013.. Society for Research on Educational Effectiveness. 2 indexed citations
10.
Ho, Andrew, Isaac L. Chuang, Justin Reich, et al.. (2015). HarvardX and MITx: Two Years of Open Online Courses Fall 2012-Summer 2014. SSRN Electronic Journal. 164 indexed citations
11.
Seaton, Daniel, Sergiy Nesterko, Tommy Mullaney, et al.. (2014). Characterizing Video Use in the Catalogue of MITx MOOCs. 4. 27 indexed citations
12.
Seaton, Daniel, Justin Reich, Sergiy Nesterko, et al.. (2014). 6.00x Introduction to Computer Science and Programming MITx on EdX Course Report - 2013 Spring. SSRN Electronic Journal. 1 indexed citations
13.
Breslow, Lori, David E. Pritchard, Jennifer DeBoer, et al.. (2013). Studying Learning in the Worldwide Classroom Research into edX's First MOOC.. 8. 13–25. 692 indexed citations breakdown →
14.
Castellano, Katherine E. & Andrew Ho. (2012). Contrasting OLS and Quantile Regression Approaches to Student “Growth” Percentiles. Journal of Educational and Behavioral Statistics. 38(2). 190–215. 30 indexed citations
15.
Chu, Samuel Kai Wah, et al.. (2011). Using a Wiki to Scaffold Primary-School Students' Collaborative Writing. Educational Technology & Society. 14(1). 43–54. 100 indexed citations
16.
Ho, Andrew, et al.. (2010). Estimating Trends From Censored Assessment Data Under No Child Left Behind. Educational and Psychological Measurement. 70(5). 760–776. 2 indexed citations
17.
Erickson, Varick L., et al.. (2007). Closing the Gap? A Comparison of Changes over Time in White-Black and White-Hispanic Achievement Gaps on State Assessments versus State NAEP. CSE Report 721.. 1 indexed citations
18.
Ho, Andrew & Edward H. Haertel. (2007). Apples to apples? The underlying assumptions of state-NAEP comparisons. The Scientific World JOURNAL. 2013. 470646–470646. 3 indexed citations
19.
Ho, Andrew & Edward H. Haertel. (2007). (Over)-interpreting mappings of state performance standards onto the NAEP scale. 88(10). 4245–9. 4 indexed citations
20.
Ho, Andrew & Edward H. Haertel. (2006). Metric-Free Measures of Test Score Trends and Gaps with Policy-Relevant Examples. CSE Report 665.. 14 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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