Joseph Jay Williams
About
In The Last Decade
Joseph Jay Williams
135 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Artificial Intelligence 1.3k
- Computer Science Applications 818
- Developmental and Educational Psychology 665
- Computer Vision and Pattern Recognition 510
- Education 468
Countries citing papers authored by Joseph Jay Williams
This map shows the geographic impact of Joseph Jay Williams'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 Joseph Jay Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph Jay Williams more than expected).
Fields of papers citing papers by Joseph Jay Williams
This network shows the impact of papers produced by Joseph Jay Williams. 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 Joseph Jay Williams. The network helps show where Joseph Jay Williams may publish in the future.
Co-authorship network of co-authors of Joseph Jay Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Jay Williams. A scholar is included among the top collaborators of Joseph Jay Williams 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 Joseph Jay Williams. Joseph Jay Williams 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 | 16 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 4 | |
| 11 | 6 | |
| 12 | Combining Dynamic A/B Experimentation and Recommender Systems in MOOCs. | 1 |
| 13 | Beyond Prediction: Towards Automatic Intervention in MOOC Student Stop-out. | 3 |
| 14 | Online Education: A Unique Opportunity for Cognitive Scientists to Integrate Research and Practice | 7 |
| 15 | Improving learning in MOOCs with Cognitive Science. | 13 |
| 16 | Explaining Influences Children's Reliance on Evidence and Prior Knowledge in Causal Induction | 16 |
| 17 | 21 | |
| 18 | Explanation constrains learning, and prior knowledge constrains explanation | 7 |
| 19 | Advances in Neural Information Processing Systems 21 breakdown → | 1571 |
| 20 | Modeling human function learning with Gaussian processes | 39 |
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.