Kenneth R. Koedinger
About
In The Last Decade
Kenneth R. Koedinger
290 papers receiving 10.6k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Artificial Intelligence 6.5k
- Developmental and Educational Psychology 5.5k
- Computer Science Applications 4.9k
- Education 3.1k
- Experimental and Cognitive Psychology 1.6k
Countries citing papers authored by Kenneth R. Koedinger
This map shows the geographic impact of Kenneth R. Koedinger'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 Kenneth R. Koedinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth R. Koedinger more than expected).
Fields of papers citing papers by Kenneth R. Koedinger
This network shows the impact of papers produced by Kenneth R. Koedinger. 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 Kenneth R. Koedinger. The network helps show where Kenneth R. Koedinger may publish in the future.
Co-authorship network of co-authors of Kenneth R. Koedinger
This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth R. Koedinger. A scholar is included among the top collaborators of Kenneth R. Koedinger 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 Kenneth R. Koedinger. Kenneth R. Koedinger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 11 | |
| 6 | The Effectiveness of Publicly vs. Privately Assigned Group Leaders Among Learners in Rural Villages in Tanzania. | 1 |
| 7 | Methods for Evaluating Simulated Learners: Examples from SimStudent. | 6 |
| 8 | Hints: You Can't Have Just One | 5 |
| 9 | Online Education: A Unique Opportunity for Cognitive Scientists to Integrate Research and Practice | 7 |
| 10 | A Comparison of Model Selection Metrics in DataShop. | 7 |
| 11 | Shallow learning as a pathway for successful learning both for tutors and tutees | 3 |
| 12 | Using Model-Tracing to Conduct Performance Assessment of Students' Inquiry Skills within a Microworld. | 7 |
| 13 | Improving Models of Slipping, Guessing, and Moment-By-Moment Learning with Estimates of Skill Difficulty. | 10 |
| 14 | Extending the self-explanation effect to second language grammar learning | 3 |
| 15 | A Data Driven Approach to the Discovery of Better Cognitive Models. | 6 |
| 16 | Towards a Computational Model of Why Some Students Learn Faster than Others | 1 |
| 17 | Facilitating Low-Achieving Students’ Diagram Use in Algebraic Story Problems | 3 |
| 18 | Logic-based natural language understanding in intelligent tutoring systems | 1 |
| 19 | Designing an Online Note Taking Tool from the Ground Up | 5 |
| 20 | Cognitive tutors as modeling tools and instructional models | 21 |
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.