Cody Coleman

1.6k total citations
15 papers, 444 citations indexed

About

Cody Coleman is a scholar working on Computer Science Applications, Artificial Intelligence and Education. According to data from OpenAlex, Cody Coleman has authored 15 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Science Applications, 10 papers in Artificial Intelligence and 3 papers in Education. Recurrent topics in Cody Coleman's work include Online Learning and Analytics (11 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers) and Machine Learning and Data Classification (3 papers). Cody Coleman is often cited by papers focused on Online Learning and Analytics (11 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers) and Machine Learning and Data Classification (3 papers). Cody Coleman collaborates with scholars based in United States, Singapore and Israel. Cody Coleman's co-authors include Justin Reich, Jacob Whitehill, Glenn Lopez, Isaac L. Chuang, Joseph Jay Williams, Curtis G. Northcutt, Andrew Ho, Rebecca P. Petersen, Daniel Seaton and John Hansen and has published in prestigious journals such as IEEE Micro, Journal of Learning Analytics and DSpace@MIT (Massachusetts Institute of Technology).

In The Last Decade

Cody Coleman

15 papers receiving 427 citations

Peers

Cody Coleman
Comparison fields: 5 of 75
  • Computer Science Applications 299
  • Artificial Intelligence 149
  • Education 119
  • Information Systems 66
  • Computer Vision and Pattern Recognition 56
Replace Jiaqi Yin with:
Jiaqi Yin China
Dennis Bouvier United States
Piotr Mitros United States
Kousuke Mouri Japan
Diana Cukierman Canada
Leandro Silva Galvão de Carvalho Brazil
Majd Sakr United States
Chris DiGiano United States
Mark Stehlik United States
Mike Brayshaw United Kingdom
Jiaqi Yin China View profile →
Citations per field, relative to Cody Coleman
Cody Coleman · 1×
Citations per year, relative to Cody Coleman
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Countries citing papers authored by Cody Coleman

Since Specialization
Citations

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

Fields of papers citing papers by Cody Coleman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cody Coleman

This figure shows the co-authorship network connecting the top 25 collaborators of Cody Coleman. A scholar is included among the top collaborators of Cody Coleman 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 Cody Coleman. Cody Coleman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 12
2 2
3
Selection via Proxy: Efficient Data Selection for Deep Learning
6
4 90
5
Beyond Prediction: Towards Automatic Intervention in MOOC Student Stop-out.
3
6 164
7 36
8
Beyond Prediction: First Steps toward Automatic Intervention in MOOC Student Stopout.
14
9 57
10 16
11 7
12
HarvardX and MITx: Two Years of Open Online Courses Fall 2012-Summer 2014
19
13 13
14
Teacher Enrollment in MITx MOOCs: Are We Educating Educators?
3
15
Analysis of video use in edX courses
2

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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2026