Countries citing papers authored by Michael Yudelson
Since
Specialization
Citations
This map shows the geographic impact of Michael Yudelson'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 Michael Yudelson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Yudelson more than expected).
Fields of papers citing papers by Michael Yudelson
This network shows the impact of papers produced by Michael Yudelson. 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 Michael Yudelson. The network helps show where Michael Yudelson may publish in the future.
Co-authorship network of co-authors of Michael Yudelson
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Yudelson.
A scholar is included among the top collaborators of Michael Yudelson 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 Michael Yudelson. Michael Yudelson 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.
Fancsali, Stephen E., Michael Yudelson, Susan Berman, & STEVE RITTER. (2018). Intelligent Instructional Hand Offs.. Educational Data Mining.6 indexed citations
2.
Yudelson, Michael, et al.. (2018). Assessment meets Learning: On the relation between Item Response Theory and Bayesian Knowledge Tracing. arXiv (Cornell University).1 indexed citations
3.
Rus, Vasile, et al.. (2017). An Analysis of Human Tutors' Actions in Tutorial Dialogues.. The Florida AI Research Society. 122–127.3 indexed citations
4.
Yudelson, Michael. (2016). Individualizing Bayesian Knowledge Tracing. Are Skill Parameters More Important Than Student Parameters. Educational Data Mining. 556–561.3 indexed citations
5.
Fancsali, Stephen E., et al.. (2016). Implementation Factors and Outcomes for Intelligent Tutoring Systems: A Case Study of Time and Efficiency with Cognitive Tutor Algebra.. The Florida AI Research Society. 473–478.3 indexed citations
6.
RITTER, STEVE, Michael Yudelson, Stephen E. Fancsali, & Susan Berman. (2016). Towards Integrating Human and Automated Tutoring Systems.. Educational Data Mining. 626–627.3 indexed citations
Fancsali, Stephen E., Matthew L. Bernacki, Timothy J. Nokes‐Malach, Michael Yudelson, & STEVE RITTER. (2014). Goal Orientation, Self-Efficacy, and “Online Measures” in Intelligent Tutoring Systems. Cognitive Science. 36(36).3 indexed citations
9.
Yudelson, Michael, et al.. (2014). Better Data Beats Big Data.. Educational Data Mining. 205–208.7 indexed citations
10.
Yudelson, Michael, Roya Hosseini, Arto Vihavainen, & Peter Brusilovsky. (2014). Investigating Automated Student Modeling in a Java MOOC. D-Scholarship@Pitt (University of Pittsburgh). 261–264.21 indexed citations
11.
Pardos, Zachary A. & Michael Yudelson. (2013). Towards Moment of Learning Accuracy..14 indexed citations
12.
Yudelson, Michael & Kenneth R. Koedinger. (2013). Estimating the benefits of student model improvements on a substantive scale.. Educational Data Mining. 358–359.10 indexed citations
13.
Yudelson, Michael & Emma Brunskill. (2012). Policy Building--An Extension to User Modeling.. Educational Data Mining. 188–191.2 indexed citations
14.
Yudelson, Michael, Philip I. Pavlik, & Kenneth R. Koedinger. (2011). Towards Better Understanding of Transfer in Cognitive Models of Practice.. Educational Data Mining. 373–374.2 indexed citations
15.
Brusilovsky, Peter, Michael Yudelson, & I‐Han Hsiao. (2009). Problem Solving Examples as First Class Objects in Educational Digital Libraries: Three Obstacles to Overcome. Journal of educational multimedia and hypermedia. 18(3). 267–288.7 indexed citations
Meccawy, Maram, et al.. (2007). Integrating Interactive Learning Content into an Adaptive E-Learning System: Lessons Learned. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2007(1). 6314–6319.1 indexed citations
18.
Brusilovsky, Peter, Michael Yudelson, & Sergey Sosnovsky. (2005). Collaborative Paper Exchange. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2005(1). 2844–2850.1 indexed citations
19.
Brusilovsky, Peter, Sergey Sosnovsky, & Michael Yudelson. (2005). Ontology-based Framework for User Model Interoperability in Distributed Learning Environments. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2005(1). 2851–2855.33 indexed citations
20.
Brusilovsky, Peter, Michael Yudelson, & Sergey Sosnovsky. (2004). An Adaptive E-Learning Service for Accessing Interactive Examples. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2004(1). 2556–2561.14 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.