Trent E. Lange
- Artificial Intelligence top 10%
- Cognitive Neuroscience
- Developmental and Educational Psychology top 10%
- Experimental and Cognitive Psychology
- Cultural Studies top 5%
- Co-authors
- Michael G. DyerCharles M. WhartonKeith J. HolyoakPaul E. DowningThomas D. WickensEric MelzColin Allen
- Topics
- Topic Modeling (7 papers)Neural Networks and Applications (3 papers)Natural Language Processing Techniques (3 papers)
- Partner nations
- United States
In The Last Decade
Trent E. Lange
10 papers receiving 224 citations
Peers
Comparison fields: 5 of 48
- Artificial Intelligence 153
- Cognitive Neuroscience 72
- Developmental and Educational Psychology 70
- Experimental and Cognitive Psychology 42
- Cultural Studies 31
Countries citing papers authored by Trent E. Lange
This map shows the geographic impact of Trent E. Lange'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 Trent E. Lange with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Trent E. Lange more than expected).
Fields of papers citing papers by Trent E. Lange
This network shows the impact of papers produced by Trent E. Lange. 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 Trent E. Lange. The network helps show where Trent E. Lange may publish in the future.
Co-authorship network of co-authors of Trent E. Lange
This figure shows the co-authorship network connecting the top 25 collaborators of Trent E. Lange. A scholar is included among the top collaborators of Trent E. Lange 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 Trent E. Lange. Trent E. Lange is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | DESCARTES: Development Environment for Simulating Hybrid Con- nectionist Architectures* | 0 |
| 2 | 46 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 70 | |
| 6 | Dynamic memories: analysis of an integrated comprehension and episodic memory retrieval model | 10 |
| 7 | Massively-Parallel Inferencing for Natural Language Understanding and Memory Retrieval in Structured Spreading-Activation Networks | 0 |
| 8 | 9 | |
| 9 | Dynamically-Adaptive Winner-Take-All Networks | 1 |
| 10 | 9 | |
| 11 | 111 | |
| 12 | 2 | |
| 13 | Dynamic, Non-Local Role Bindings and Inferencing in a Localist Network for Natural Language Understanding | 9 |
About Trent E. Lange
Trent E. Lange is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Developmental and Educational Psychology, having authored 13 papers that have together received 268 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Neural Networks and Applications (3 papers) and Natural Language Processing Techniques (3 papers). The work is most often cited by research in Developmental and Educational Psychology (70 citations), Artificial Intelligence (153 citations) and Cultural Studies (31 citations). Trent E. Lange has collaborated with scholars based in United States. Frequent co-authors include Michael G. Dyer, Charles M. Wharton, Keith J. Holyoak, Paul E. Downing, Thomas D. Wickens, Eric Melz and Colin Allen. Their work appears in journals such as Behavioral and Brain Sciences, Cognitive Psychology and Neurocomputing.
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.