Andrew Lan

2.1k citations
91 papers · 1.3k · 1 hit paper · h-index 17

Impact in

Papers in

    • Online Learning and Analytics 38
    • Intelligent Tutoring Systems and Adaptive Learning 37
    • Topic Modeling 20
    • Natural Language Processing Techniques 9
    • Machine Learning and Data Classification 7
    • Machine Learning and Algorithms 7

Andrew Lan

85 papers receiving 1.2k citations

Andrew Lan's Hit Papers

Context-Aware Attentive Knowledge Tracing 2020 · 337 citations
3370+2+4Years since publication100200300

Peers

Andrew Lan
Comparison fields: 5 of 86
  • Computer Science Applications 571
  • Artificial Intelligence 955
  • Computational Mathematics 13
  • Developmental and Educational Psychology 144
  • Information Systems 223
Replace Carla Limongelli with:
Carla Limongelli Italy
Jianwen Sun China
Xiangyu Song China
Iria Estévez Ayres Spain
Brent Martin New Zealand
Mattia Monga Italy
Christoph Peylo Germany
Wu Zhang China
Scott A. Wallace United States
Robin Abraham United States
Andrew Lan relative to Carla Limongelli Italy Carla Limongelli's profile →
Citations per field
00.5×2×3×4×4.5×
Carla Limongelli · 1×
Citations per year

Countries citing papers authored by Andrew Lan

Since Specialization
Citations

This map shows the geographic impact of Andrew Lan'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 Andrew Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Lan more than expected).

Fields of papers citing papers by Andrew Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew Lan. 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 Andrew Lan. The network helps show where Andrew Lan may publish in the future.

Co-authors

The 25 scholars most cited alongside Andrew Lan, 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 Andrew Lan Line = papers co-authored together Andrew Lan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Context-Aware Attentive Knowledge Tracing
Hit paper breakdown →
2020337
2 201495
3 201860
4 201447
5 201547
6
A Contextual Bandits Framework for Personalized Learning Action Selection.
201644
7 202139
8 202037
9 201828
10 202125
11 202225
12
Behavior-based latent variable model for learner engagement
201724
13 202123
14 201423
15 202119
16 202219
17 202417
18 202016
19 202216
20 201816

About Andrew Lan

Andrew Lan is a scholar working on Computer Science Applications, Artificial Intelligence, Information Systems, Developmental and Educational Psychology and Computer Vision and Pattern Recognition, having authored 91 papers that have together received 1.3k indexed citations. Recurring topics across this work include Online Learning and Analytics (38 papers), Intelligent Tutoring Systems and Adaptive Learning (37 papers), Topic Modeling (20 papers), Natural Language Processing Techniques (9 papers), Educational Technology and Assessment (8 papers), Machine Learning and Data Classification (7 papers), Innovative Teaching and Learning Methods (7 papers) and Machine Learning and Algorithms (7 papers). The work is most often cited by research in Computer Science Applications (571 citations), Artificial Intelligence (955 citations), Computational Mathematics (13 citations), Developmental and Educational Psychology (144 citations) and Information Systems (223 citations). Andrew Lan has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Aritra Ghosh, Richard G. Baraniuk, Neil Thomas Heffernan, Christoph Studer, Andrew E. Waters, Zichao Wang, Mung Chiang, Christopher G. Brinton, Phillip J. Grimaldi and Weili Nie. Their work appears in journals such as International Journal of Artificial Intelligence in Education, Lecture notes in computer science, IEEE Journal of Selected Topics in Signal Processing, IEEE Internet of Things Journal and IEEE Transactions on Emerging Topics in Computing.

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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