Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
The State of Educational Data Mining in 2009: A Review and Future Visions
This map shows the geographic impact of Kalina Yacef'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 Kalina Yacef with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kalina Yacef more than expected).
This network shows the impact of papers produced by Kalina Yacef. 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 Kalina Yacef. The network helps show where Kalina Yacef may publish in the future.
Co-authorship network of co-authors of Kalina Yacef
This figure shows the co-authorship network connecting the top 25 collaborators of Kalina Yacef.
A scholar is included among the top collaborators of Kalina Yacef 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 Kalina Yacef. Kalina Yacef is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Martínez‐Maldonado, Roberto, Kalina Yacef, & Judy Kay. (2013). Data Mining in the Classroom: Discovering Groups' Strategies at a Multi-tabletop Environment. Educational Data Mining. 121–128.26 indexed citations
11.
Kay, Judy, et al.. (2012). Unpacking traces of collaboration from multimodal data of collaborative concept mapping at a tabletop.. International Conference of Learning Sciences. 241–245.4 indexed citations
12.
Berkovsky, Shlomo, et al.. (2012). Time dependency in TV viewer clustering.4 indexed citations
13.
Kay, Judy, et al.. (2011). Visualisations for longitudinal participation, contribution and progress of a collaborative task at the tabletop. Computer Supported Collaborative Learning. 25–32.20 indexed citations
14.
Merceron, Agathe & Kalina Yacef. (2008). Interestingness Measures for Associations Rules in Educational Data.. Educational Data Mining. 57–66.71 indexed citations
15.
Merceron, Agathe & Kalina Yacef. (2007). Revisiting interestingness of strong symmetric association rules in educational data. 21(2). 110–4.16 indexed citations
16.
Merceron, Agathe & Kalina Yacef. (2007). Web-based learning tools: storing usage data makes a difference. 104–109.1 indexed citations
17.
Yacef, Kalina, et al.. (2005). Workflow-Based Personalised Document Delivery. International journal on e-learning. 4(1). 131–148.5 indexed citations
18.
Davis, Joseph G., Judy Kay, Kai Lin, et al.. (2002). Workflow Based Just-in-time Training..1 indexed citations
19.
Abraham, David, et al.. (2001). The logic tutor.. 184.1 indexed citations
20.
Yacef, Kalina. (1999). Kalina Yacef, Vers un Assistant Tutoriel Intelligent pour les opérateurs de systèmes complexes et dynamiques. Thèse de l'université René Descartes - Paris V, 26 octobre 1999. Sciences et Technologies de l Information et de la Communication pour l Éducation et la Formation. 6(2). 449–449.1 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.