Gerald DeJong
About
In The Last Decade
Gerald DeJong
76 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Artificial Intelligence 1.8k
- Developmental and Educational Psychology 896
- Experimental and Cognitive Psychology 560
- Education 345
- Social Psychology 337
Countries citing papers authored by Gerald DeJong
This map shows the geographic impact of Gerald DeJong'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 Gerald DeJong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald DeJong more than expected).
Fields of papers citing papers by Gerald DeJong
This network shows the impact of papers produced by Gerald DeJong. 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 Gerald DeJong. The network helps show where Gerald DeJong may publish in the future.
Co-authorship network of co-authors of Gerald DeJong
This figure shows the co-authorship network connecting the top 25 collaborators of Gerald DeJong. A scholar is included among the top collaborators of Gerald DeJong 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 Gerald DeJong. Gerald DeJong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Automatic Topic Model Adaptation for Sentiment Analysis in Structured Domains | 1 |
| 2 | Learning constraints via demonstration for safe planning | 3 |
| 3 | Explanation-based feature construction | 8 |
| 4 | Learning to Ride a Bicycle using Iterated Phantom Induction | 1 |
| 5 | Iterated phantom induction: a little knowledge can go a long way | 5 |
| 6 | Improving learning performance through rational resource allocation | 8 |
| 7 | Constructing simplified plans via Truth Criteria approximation | 10 |
| 8 | Permissive planning: a machine learning approach to linking internal and external worlds | 3 |
| 9 | COMPOSER: a probabilistic solution to the utility problem in speed-up learning | 47 |
| 10 | Similarity and Analogical Reasoning breakdown → | 1600 |
| 11 | Some thoughts on the present and future of explanation-based learning | 4 |
| 12 | The classification, detection and handling of imperfect theory problems | 26 |
| 13 | An explanation-based approach to generalizing number | 14 |
| 14 | Towards a model of conceptual knowledge acquisition through directed experimentation | 13 |
| 15 | Learning schemata for natural language processing | 60 |
| 16 | Acquiring schemata through understanding and generalizing plans | 31 |
| 17 | Automatic schema acquisition in a natural language environment | 8 |
| 18 | Generalizations based on explanations | 48 |
| 19 | 34 | |
| 20 | Skimming newspaper stories by computer | 17 |
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.