Christopher Brooks
- Computer Science Applications top 0.2%
- Online Learning and Analytics 45
- Open Education and E-Learning 10
- Teaching and Learning Programming 8
- Health Informatics top 5%
- Human-Computer Interaction top 5%
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- Innovative Teaching and Learning Methods 12
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- Online and Blended Learning 12
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- Intelligent Tutoring Systems and Adaptive Learning 10
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- Software Engineering Research 9
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- Robotic Locomotion and Control 7
- Co-authors
- Karl IagnemmaScott BatemanCarl GutwinSteven DubowskyJosh GardnerAaron GenestRegan L. MandrykJim Greer
- Journals
- Proceedings of the ACM on Human-Computer Interaction (5 papers)Journal of Learning Analytics (3 papers)British Journal of Educational Technology (2 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Christopher Brooks
96 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 150
- Computer Science Applications 774
- Health Informatics 40
- Computer Vision and Pattern Recognition 518
- Human-Computer Interaction 128
- Developmental and Educational Psychology 260
Countries citing papers authored by Christopher Brooks
This map shows the geographic impact of Christopher Brooks'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 Christopher Brooks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Brooks more than expected).
Fields of papers citing papers by Christopher Brooks
This network shows the impact of papers produced by Christopher Brooks. 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 Christopher Brooks. The network helps show where Christopher Brooks may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christopher Brooks, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 24 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 20 | |
| 5 | 2023 | 15 | |
| 6 | 2021 | 26 | |
| 7 | 2021 | 10 | |
| 8 | Exploring Homophily in Demographics and Academic Performance Using Spatial-Temporal Student Networks. | 2020 | 5 |
| 9 | 2020 | 47 | |
| 10 | Modeling and Experimental Design for MOOC Dropout Prediction: A Replication Perspective. | 2019 | 8 |
| 11 | 2019 | 5 | |
| 12 | Toward Replicable Predictive Model Evaluation in MOOCs. | 2017 | 0 |
| 13 | Long Term Benefits for Women in a Science, Technology, Engineering, and Mathematics Living-Learning Community | 2016 | 8 |
| 14 | 2016 | 25 | |
| 15 | Lecture Capture: Student Perceptions, Expectations, and Behaviors | 2010 | 7 |
| 16 | Experimental Results from a Terrain Adaptive Navigation System for Planetary Rovers | 2008 | 6 |
| 17 | Flexible Learning Object Metadata | 2006 | 4 |
| 18 | 2006 | 37 | |
| 19 | 2004 | 2 | |
| 20 | Multi-Sensor Terrain Estimation for Planetary Rovers | 2003 | 35 |
About Christopher Brooks
Christopher Brooks is a scholar working on Computer Science Applications, Software and Artificial Intelligence, having authored 100 papers that have together received 2.5k indexed citations. Recurring topics across this work include Online Learning and Analytics (45 papers), Online and Blended Learning (12 papers), Innovative Teaching and Learning Methods (12 papers), Intelligent Tutoring Systems and Adaptive Learning (10 papers), Open Education and E-Learning (10 papers), Software Engineering Research (9 papers), Teaching and Learning Programming (8 papers) and Robotic Locomotion and Control (7 papers). The work is most often cited by research in Computer Science Applications (774 citations), Health Informatics (40 citations) and Computer Vision and Pattern Recognition (518 citations). Christopher Brooks has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Karl Iagnemma, Scott Bateman, Carl Gutwin, Steven Dubowsky, Josh Gardner, Aaron Genest, Regan L. Mandryk, Jim Greer, Nia Dowell and Steve Oney. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Journal of Learning Analytics, British Journal of Educational Technology, International Journal of Artificial Intelligence in Education and Journal of Field Robotics.
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.