Countries citing papers authored by Joseph E. Beck
Since
Specialization
Citations
This map shows the geographic impact of Joseph E. Beck'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 Joseph E. Beck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph E. Beck more than expected).
This network shows the impact of papers produced by Joseph E. Beck. 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 Joseph E. Beck. The network helps show where Joseph E. Beck may publish in the future.
Co-authorship network of co-authors of Joseph E. Beck
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph E. Beck.
A scholar is included among the top collaborators of Joseph E. Beck 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 Joseph E. Beck. Joseph E. Beck is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Heffernan, Neil T., et al.. (2017). Using a Single Model Trained across Multiple Experiments to Improve the Detection of Treatment Effects.. Educational Data Mining.2 indexed citations
3.
Beck, Joseph E., Min Chi, & Ryan S. Baker. (2017). Workshop proposal: deep learning for educational data mining.. Educational Data Mining.1 indexed citations
4.
Xiong, Xiaolu, et al.. (2016). Going Deeper with Deep Knowledge Tracing.. Educational Data Mining. 545–550.72 indexed citations
5.
Beck, Joseph E. & Xiaolu Xiong. (2013). Limits to accuracy: how well can we do at student modeling?. Educational Data Mining. 4–11.19 indexed citations
6.
Wang, Yutao & Joseph E. Beck. (2012). Incorporating Factors Influencing Knowledge Retention into a Student Model.. Educational Data Mining. 201–203.6 indexed citations
7.
Suay, Halit Bener, Joseph E. Beck, & Sonia Chernova. (2012). Using Causal Models for Learning from Demonstration.. National Conference on Artificial Intelligence.1 indexed citations
8.
Wang, Yutao & Joseph E. Beck. (2012). Using Student Modeling to Estimate Student Knowledge Retention.. Educational Data Mining.13 indexed citations
Rai, Dovan & Joseph E. Beck. (2011). Exploring User Data From a Game-like Math Tutor: A Case Study in Causal Modeling.. Educational Data Mining. 307–313.7 indexed citations
11.
Gong, Yue & Joseph E. Beck. (2011). Items, Skills, and Transfer Models: Which Really Matters for Student Modeling?. Educational Data Mining. 81–90.9 indexed citations
12.
Rai, Dovan & Joseph E. Beck. (2010). Analysis of a causal modeling approach: a case study with an educational intervention.. Educational Data Mining. 313–314.3 indexed citations
13.
Wang, Yutao, Neil T. Heffernan, & Joseph E. Beck. (2010). Representing Student Performance with Partial Credit.. Educational Data Mining. 335–336.10 indexed citations
14.
Feng, Mingyu, Joseph E. Beck, & Neil T. Heffernan. (2009). Using Learning Decomposition and Bootstrapping with Randomization to Compare the Impact of Different Educational Interventions on Learning. Educational Data Mining. 51–60.14 indexed citations
15.
Feng, Mingyu & Joseph E. Beck. (2009). Back to the future: a non-automated method of constructing transfer models. Educational Data Mining. 240–249.7 indexed citations
16.
Mostow, Jack & Joseph E. Beck. (2009). Why, What, and How to Log? Lessons from LISTEN. Educational Data Mining. 269–278.2 indexed citations
17.
Gong, Yue, Dovan Rai, Joseph E. Beck, & Neil T. Heffernan. (2009). Does Self-Discipline impact students' knowledge and learning?. Educational Data Mining. 61–70.21 indexed citations
18.
Beck, Joseph E. & Beverly Park Woolf. (2000). Reasoning from Data Rather than Theory. The Florida AI Research Society. 34–39.1 indexed citations
19.
Beal, Carole R., et al.. (2000). Gaining Confidence in Mathematics: Instructional Technology for Girls. 2000(1). 57–64.3 indexed citations
20.
Arroyo, Ivon, Joseph E. Beck, Beverly Park Woolf, Carole R. Beal, & David Hart. (1999). WhaleWatch: An Intelligent Multimedia Math Tutor. 1999(1). 565–570.4 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.