Robert Lindsey

2.0k citations
29 papers · 1.2k · h-index 15

Impact in

Papers in

Robert Lindsey

29 papers receiving 1.1k citations

Peers

Robert Lindsey
Comparison fields: 5 of 135
  • Health Informatics 302
  • Computer Science Applications 180
  • Artificial Intelligence 457
  • Radiology, Nuclear Medicine and Imaging 268
  • Developmental and Educational Psychology 141
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Citations per year

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).

Fields of papers citing papers by Robert Lindsey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Robert Lindsey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Robert Lindsey Line = papers co-authored together Robert Lindsey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018433
2 2014132
3 202094
4 200659
5
Integrating latent-factor and knowledge-tracing models to predict individual differences in learning
201453
6 201451
7
Predicting the Optimal Spacing of Study: A Multiscale Context Model of Memory
200951
8
A Phrase-Discovering Topic Model Using Hierarchical Pitman-Yor Processes
201248
9 201647
10
How Deep is Knowledge Tracing
201646
11 201426
12
Automatic Discovery of Cognitive Skills to Improve the Prediction of Student Learning
201425
13 202221
14
Optimizing Instructional Policies
201319
15
A Proxy For All Your Semantic Needs
200716
16
Sources of Stress among Gender and Classification for African American College Students
201113
17 20249
18 20017
19
Brando: Songs My Mother Taught Me
19967
20
Improving Human Judgments by Decontaminating Sequential Dependencies
20105

About Robert Lindsey

Robert Lindsey is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Family Practice and Health Informatics, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Intelligent Tutoring Systems and Adaptive Learning (8 papers), Memory Processes and Influences (5 papers), Radiology practices and education (4 papers), Advanced Text Analysis Techniques (4 papers), Online Learning and Analytics (3 papers), Artificial Intelligence in Healthcare and Education (3 papers) and Clinical Reasoning and Diagnostic Skills (3 papers). The work is most often cited by research in Health Informatics (302 citations), Computer Science Applications (180 citations), Artificial Intelligence (457 citations), Radiology, Nuclear Medicine and Imaging (268 citations) and Developmental and Educational Psychology (141 citations). Robert Lindsey has collaborated with scholars based in United States, Canada and Dominican Republic. Frequent co-authors include Michael C. Mozer, Harold Pashler, Mohammad Khajah, Hollis G. Potter, Aaron Daluiski, Robert Hotchkiss, Sumit Chopra, Michael J. Gardner, Douglas P. Hanel and Anurag Gupta. Their work appears in journals such as Journal of Psycholinguistic Research, Scientific Reports, Psychological Science, Topics in Cognitive Science and npj Digital Medicine.

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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