Countries citing papers authored by Robert Lindsey
Since
Specialization
Citations
This map shows the geographic impact of Robert Lindsey'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 Robert Lindsey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Lindsey more than expected).
This network shows the impact of papers produced by Robert Lindsey. 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 Robert Lindsey. The network helps show where Robert Lindsey may publish in the future.
Co-authorship network of co-authors of Robert Lindsey
This figure shows the co-authorship network connecting the top 25 collaborators of Robert Lindsey.
A scholar is included among the top collaborators of Robert Lindsey 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 Robert Lindsey. Robert Lindsey is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Khajah, Mohammad, Robert Lindsey, & Michael C. Mozer. (2016). How Deep is Knowledge Tracing. Educational Data Mining. 94–101.46 indexed citations
6.
Lindsey, Robert. (2014). Probabilistic Models of Student Learning and Forgetting. CU Scholar (University of Colorado Boulder).1 indexed citations
7.
Khajah, Mohammad, et al.. (2014). Integrating latent-factor and knowledge-tracing models to predict individual differences in learning. Educational Data Mining. 99–106.53 indexed citations
8.
Lindsey, Robert, Mohammad Khajah, & Michael C. Mozer. (2014). Automatic Discovery of Cognitive Skills to Improve the Prediction of Student Learning. Neural Information Processing Systems. 27. 1386–1394.25 indexed citations
Lindsey, Robert, Michael C. Mozer, William J. Huggins, & Harold Pashler. (2013). Optimizing Instructional Policies. Neural Information Processing Systems. 26. 2778–2786.19 indexed citations
11.
Lindsey, Robert, et al.. (2012). A Phrase-Discovering Topic Model Using Hierarchical Pitman-Yor Processes. Empirical Methods in Natural Language Processing. 214–222.48 indexed citations
12.
Lindsey, Robert, et al.. (2011). Sources of Stress among Gender and Classification for African American College Students. College student journal. 45(4). 749.13 indexed citations
13.
Pashler, Harold, et al.. (2010). Improving Human Judgments by Decontaminating Sequential Dependencies. Neural Information Processing Systems. 23. 1705–1713.5 indexed citations
14.
Lindsey, Robert, et al.. (2010). Predicting Students' Retention of Facts from Feedback during Study. eScholarship (California Digital Library). 32(32).1 indexed citations
15.
Lindsey, Robert, et al.. (2008). BLOSSOM: Best Path Length on a Semantic Self-Organizing Map. eScholarship (California Digital Library). 30(30).3 indexed citations
16.
Lindsey, Robert, et al.. (2007). A Proxy For All Your Semantic Needs. eScholarship (California Digital Library). 29(29).16 indexed citations
Perfetti, Charles A. & Robert Lindsey. (1974). Polysemy and memory. Journal of Psycholinguistic Research. 3(1). 75–89.2 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.